Reviewerly/exHarmony huggingface dataset:
Improving Solar Flare Prediction by Time Series Outlier Detection

Solar flares not only pose risks to outer space technologies and astronauts’ well being, but also cause disruptions on earth to our high-tech, interconnected infrastructure our lives highly depend on. While a number of machine-learning methods have been proposed to improve flare prediction, none of them, to the best of our knowledge, have investigated the impact of outliers on the reliability and robustness of those models’ performance. In this study, we investigate the impact of outliers in a multivariate time series benchmark dataset, namely SWAN-SF, on flare prediction models, and test our hypothesis. That is, there exist outliers in SWAN-SF, removal of which enhances the performance of the prediction models on unseen datasets. We employ Isolation Forest to detect the outliers among the weaker flare instances. Several experiments are carried out using a large range of contamination rates which determine the percentage of present outliers. We assess the quality of each dataset in terms of its actual contamination using TimeSeriesSVC. In our best findings, we achieve a 279% increase in True Skill Statistic and 68% increase in Heidke Skill Score. The results show that overall a significant improvement can be achieved for flare prediction if outliers are detected and removed properly.
Semantically Consistent Sim-to-Real Image Translation with Neural Networks

Texture-swapping of images has industrial benefits besides artistic stylization and photo editing, e.g. simulated images could be modified to look like real ones to train Computer Vision methods. Autonomous driving research could largely benefit from this as its neural network-based perception systems need a large amount of labeled training data. However, the sim-to-real texture swapping is a demanding challenge because of the large gap between the two domains. Another requirement is that the semantic meaning of the photo should not change during the translation. We found that SOTA algorithms struggle with these expectations, so in this work, we improve a former method by taking advantage of the semantic labeling of the training datasets. We show that with our two improvements, we can better conserve the scene of the image during the sim-to-real translation while the photorealism of the output image does not significantly change.
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Let S2 be the set of b's such that the equation X23n+22n+2n−1+(X+1)23n+22n+2n−1=b has two solutions in F24n. This set was originally defined in the article [“Solving X23n+22n+2n−1+(X+1)23n+22n+2n−1=b in F24n″ ([1]) and an alternative proof of a conjecture on the differential spectrum of the related monomial functions. Finite Fields and Their Applications, 83, 102086, 2022]. We show that the definition of S2 (initially considered from our computational experiments for n≤8) in [1] was, unfortunately, introduced incorrectly. We, therefore, provide in this note the necessary corresponding corrections. More precisely, we present the correct versions of Theorem 2 and Corollary 11, respectively.
Creation of nonclassical states of light in a chiral waveguide

Creating non-classical states of light from simple quantum systems together with classical resources is a challenging problem. We show how chiral emitters under a coherent drive can generate non-classical photon states. For our analysis, we select a specific temporal mode in the transmitted light field, resulting in a coupled master equation for the relevant mode and the chiral emitters. We characterise the mode's state by its Wigner function and show that the emission from the system predominantly produces mixtures of few-photon-added coherent states. We argue that these non-classical states are experimentally accessible and show their application for quantum metrology.
Emotional and aesthetic dominant in modern educational innovation processes

n the scientific field of the author – the study of prospects, risks, challenges of the modern educational process, the importance of the aesthetic and emotional component of education, which is formed in the plane of philosophical, pedagogical, psychological discourse, subordinated to updated educational paradigms. The report substantiates the relevance of the formation of the level of emotional intelligence by means of aesthetics, which is part of the structure of the phenomenon of education and forms a picture of the existence of the present and the future.
SPNet: Structure preserving network for depth completion

Depth completion aims to predict a dense depth map from a sparse one. Benefiting from the powerful ability of convolutional neural networks, recent depth completion methods have achieved remarkable performance. However, it is still a challenging problem to well preserve accurate depth structures, such as tiny structures and object boundaries. To tackle this problem, we propose a structure preserving network (SPNet) in this paper. Firstly, an efficient multi-scale gradient extractor (MSGE) is proposed to extract useful multi-scale gradient images, which contain rich structural information that is helpful in recovering accurate depth. The MSGE is constructed based on the proposed semi-fixed depthwise separable convolution. Meanwhile, we adopt a stable gradient MAE loss ( L GMAE ) to provide additional depth gradient constrain for better structure reconstruction. Moreover, a multi-level feature fusion module (MFFM) is proposed to adaptively fuse the spatial details from low-level encoder and the semantic information from high-level decoder, which will incorporate more structural details into the depth modality. As demonstrated by experiments on NYUv2 and KITTI datasets, our method outperforms some state-of-the-art methods in terms of both quantitative and quantitative evaluations.
A Study on the Policy Engagement Activities of ‘National Council of Governors of Education’ to Government

본 연구의 목적은 교육감협의회의 대정부 정책참여 활동을 고찰하고자, 2014년 및 2018년에 당선된 교육감으로 구성된 협의회가 다루어 온 정책의제 및 이슈에 관하여 대정부 영향력을 어떻게 행사해왔는지 분석하는 것이다. 이를 위해 교육감협의회가 생산한 총회 보도자료를 바탕으로 주요 정책의제 또는 정책대안들을 파악하고, 제출된 대정부 제안을 정부 또는 국회가 정책결정에 반영한 정도를 바탕으로 영향력을 추정하였다. 연구 결과, 교육감협의회의 대정부 제안 활동은 제1시기(2014년 당선)에 비해 제2시기(2018년 당선)에 양적으로 활발해졌다고 할 수 있다. 질적으로도 정책공동체 성격의 활동을 강화하면서 교육이슈를 선도적으로 의제화하는 등 제안의 범위가 다양해졌다. 한편 대정부 제안이 수용되는 비율과 미수용되는 비율은 제2시기에 모두 줄어들었다. 미수용 건수 비율이 감소했다는 결과 그 자체는 대정부 영향력으로서 긍정적으로 평가할 부분이 있다. 그러나 수용되는 비율이 증가하는 대신 역설적으로 검토 및 기타로 분류된 건수의 비율이 늘어난 것이다. 이에 두 시기 교육감협의회의 대정부 활동의 결과가 어떤 차이로부터 기인한 것인지를 논의하였다. 끝으로 전국시도교육감협의회가 향후 정책과정에서 기존 이익집단이나 정책공동체와 같은 성격 이상의 위상을 가질 수 있다는 기대에 비추어, 전개해왔거나 앞으로 전개해나갈 정책참여에 대하여 체계적이고 분석적인 후속 연구가 필요하다고 제언하였다.The purpose of this study is to analyze how the National Council of Governors of Education, which is composed of superintendents elected in 2014 and 2018, has exerted influence on the government on policy agendas and issues that have been dealt with. To this end, major policy agendas or policy alternatives were identified based on the general assembly press release produced by the Council of Governors of Education, and the influence was estimated based on the degree to which the government or the National Assembly reflected the government proposals in policy decisions. As a result of the study, it can be said that the activities of the Council of Governors of Education for government proposals were quantitatively more active in the second period (elected in 2018) compared to the first period (elected in 2014). Qualitatively, the range of proposals has diversified, such as strengthening the activities of the policy community and taking the initiative in raising educational issues. However, both the rate of acceptance and non-acceptance of proposals to the government decreased in the second period. A decrease in the non-adoption rate can be evaluated positively in terms of its impact on the policy process. But instead of an increase in the rate of acceptance, the rate of cases classified as review and other is increasing. To realize this as an actual policy, political and policy efforts must be continued.
A New Proposed Sorting Algorithm Using Radix Tree and Binning

There is a need for new and more efficient ways of sorting numbers. Radix tree is a space efficient way of storing words, which is a more advanced version of a trie. In many radix trees, the words are stored in alphabetical order. The algorithm proposed uses a radix tree to store the numbers, and a traversal algorithm to print them, this method would only work when all the numbers are of equal length. To solve this problem, binning was used after the traversal of the radix tree, to sort the numbers based on their lengths. For testing, many different sizes of datasets were created, of two types. The time taken to sort different datasets has been tested for this algorithm and has been compared to various algorithms such as bubble sort and shell sort. The proposed algorithm performs better than many bubble sort, insertion sort, and selection sort when the size of the datasets is more than 10,000. This algorithm works well when the size of the dataset is large. However, it takes more time comparatively when the size of the dataset is small. The future scope includes using a more optimized radix tree.
Study about Employee Empowerment Strategies for Private Universities Teachers in Punjab, India: Approach For Job Satisfaction

With the introduction of numerous social platforms and technical breakthroughs during this pandemic era, the teaching fraternity is going through enormous upheaval. Every firm's first priority is to ensure that its employees are happy with their work, and to this end they are developing various employee empowerment initiatives that emphasise the value of human resources in every organisation. Some people are dissatisfied with management's behaviour, and unions are working to improve things. In some organisations, training and development programmes are organised to prepare employees for a changing environment, and many other things are done, so job satisfaction comes gradually. Within this context, the following research is being conducted to determine the impact of employee empowerment strategies on job satisfaction among private university teachers in Punjab. In terms of method, this research is descriptive, so an empirical study is conducted using 100 questionnaires based on a five-point Likert Scale, and all questionnaires that were complete in all respects were used to draw generalisations. Few of statistical techniques like Correlation, Regression analysis and ANOVA has been applied to draw conclusions. To assess the reliability of data Cronbach’s alpha coefficient is used and it came out to be 0.901 which is acceptable. SPSS was used to draw generalizations.The findings of the research conclude that there is impact of employee empowerment strategies on job satisfaction and Coefficient Correlation coefficient for employee empowerment strategies and job satisfaction is 0.541. Correlation is significant at the 0.01 level. The value of R= .541 which is high and R Square=.293 which represents moderate correlation between dependent and independent variables.
Design and performance test of portable spectrometer using AS7265x multispectral sensor for detection of adulterated cane sugar in granulated coconut sugar

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation Susanto B. Sulistyo, Arief Sudarmaji, Purwoko H. Kuncoro, Pepita Haryanti; Design and performance test of portable spectrometer using AS7265x multispectral sensor for detection of adulterated cane sugar in granulated coconut sugar. AIP Conference Proceedings 24 January 2023; 2586 (1): 060016. https://doi.org/10.1063/5.0106942 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAIP Publishing PortfolioAIP Conference Proceedings Search Advanced Search |Citation Search
BCoT-Based Smart Manufacturing: An Enhanced Precise Measurement Management System

Blockchain with its transparent, decentralised and secured characteristics have surfaced it as a futuristic technology for a surplus of advanced industrial applications. Blockchain of Things (BCoT) is the fusion of blockchain with the internet of things (IoT) technologies. The developments in multi-virtual Sensor IoT, homogeneous and heterogeneous multi-system information fusion for BCoT, industrial applications of BCoT has transformed the way digital world work. Ever since the smart devices were introduced, the world has evolved and progressed by making the entire world more dynamic by bringing technology, machines and people together. Smart manufacturing is another emergent sector where BCoT can significantly contribute. Smart manufacturing is basically formed by integrating multifaceted technologies, such as IoT-enabled technologies, service-oriented and cloud manufacturing, blockchain, etc., in various industrial applications. In fact, the IoT, particularly the industrial internet of things (IIoT) are enhancing sensor usage and remarkably contributing to smart manufacturing. This article contributes to the existing knowledge domain by exploring and studying various sensors and proximity sensors in details, customer and product movement, reaction of customers towards sensors and smart technologies based on BCoT, usages and advantages of sorting techniques with regards to the memories of BCoT devices and sensors, a precise measurement system using quick sort for smart manufacturing and future challenges and possibilities.
Towards Tight Security Bounds for OMAC, XCBC and TMAC

OMAC — a single-keyed variant of CBC-MAC by Iwata and Kurosawa — is a widely used and standardized (NIST FIPS 800-38B, ISO/IEC 29167-10:2017) message authentication code (MAC) algorithm. The best security bound for OMAC is due to Nandi who proved that OMAC ’s pseudorandom function (PRF) advantage is upper bounded by $$ O(q^2\ell /2^n) $$ , where n, q, and $$ \ell $$ , denote the block size of the underlying block cipher, the number of queries, and the maximum permissible query length (in terms of n-bit blocks), respectively. In contrast, there is no attack with matching lower bound. Indeed, the best known attack on OMAC is the folklore birthday attack achieving a lower bound of $$ \varOmega (q^2/2^n) $$ . In this work, we close this gap for a large range of message lengths. Specifically, we show that OMAC ’s PRF security is upper bounded by $$ O(q^2/2^n + q\ell ^2/2^n)$$ . In practical terms, this means that for a 128-bit block cipher, and message lengths up to 64 GB, OMAC can process up to $$ 2^{64} $$ messages before rekeying (same as the birthday bound). In comparison, the previous bound only allows $$ 2^{48} $$ messages. As a side-effect of our proof technique, we also derive similar tight security bounds for XCBC (by Black and Rogaway) and TMAC (by Kurosawa and Iwata). As a direct consequence of this work, we have established tight security bounds (in a wide range of $$\ell $$ ) for all the CBC-MAC variants, except for the original CBC-MAC.
Non-interactive Secure Computation of Inner-Product from LPN and LWE

We put forth a new cryptographic primitive for securely computing inner-products in a scalable, non-interactive fashion: any party can broadcast a public (computationally hiding) encoding of its input, and store a secret state. Given their secret state and the other party’s public encoding, any pair of parties can non-interactively compute additive shares of the inner-product between the encoded vectors. We give constructions of this primitive from a common template, which can be instantiated under either the LPN (with non-negligible correctness error) or the LWE (with negligible correctness error) assumptions. Our construction uses a novel twist on the standard non-interactive key exchange based on the Alekhnovich cryptosystem, which upgrades it to a non-interactive inner product protocol almost for free. In addition to being non-interactive, our constructions have linear communication (with constants smaller than all known alternatives) and small computation: using LPN or LWE with quasi-cyclic codes, we estimate that encoding a length- $$2^{20}$$ vector over a 32-bit field takes less that 2 s on a standard laptop; decoding amounts to a single cheap inner-product. We show how to remove the non-negligible error in our LPN instantiation using a one-time, logarithmic-communication preprocessing. Eventually, we show to upgrade its security to the malicious model using new sublinear-communication zero-knowledge proofs for low-noise LPN samples, which might be of independent interest.
The Netra Mandiri Foundation's Interpersonal Communication for Blind Tutors

&#x0D; &#x0D; &#x0D; This study discusses interpersonal communication for blind tutors at the Netra Mandiri Foundation in Palembang. This study aims to find out what factors affect interpersonal communication, how the process of interpersonal communication is, and how the impact of participants after attending classes at Yayasan Netra Mandiri Palembang. This research uses descriptive qualitative research. Methods of data collection include observation, interviews, and documentation. Based on the results of his study, the factors that affect interpersonal communication of the three subjects, AG, JK, and AP, can be seen in the second and fifth themes, namely about the point of view of the subject and other subjects. The interpersonal communication process of the three subjects, AG, JK, and AP, can be seen from the sixth and seventh themes on conveying material so that it is easy to understand and the material presented by the subject in class. The impact of the trainees participating in this training varied, including with subject training; they could easily do the online assignments given at their school, appear in cafes to become musicians and make bands, and be equipped to open massage services at home that they could help. The economy of the participants who took the training class. Impacts vary according to the aptitude of the trainees.&#x0D; &#x0D; &#x0D;
Pengaruh Metode Pembelajaran Curah Pendapat (Brainstorming) dan Minat Belajar Terhadap Hasil Belajar Ekonomi Siswa Kelas X di MAN 2 Batusangkar Kabupaten Tanah Datar

The research purposes to investigate the impact of the students who teach by using Brainstorming Method and Variety Lecturing Method with the student’s interest at study toward the result of their study on economics subject in MAN 2 Batusangkar. The research is quasy experimental research by using two classes. The population of this research is the students grade X at MAN 2 Batusangkar. The type of sample is cluster and the students X-is3 as the class experiment and class X-is1 as control class. This research using analysis descriptive and inductive analysis by using two-ways of ANOVA. The results showed: (1) There is significant result of the students who got treatment by Brainstorming Method than the students who thought by using Variety Lecturing Method, (2) There is significant result of the students who have good interest in study by using Brainstorming Method than the students who have high interest thought by using Variety Lecturing Method, (3) There is significant result of the students who have low interest in study by using Brainstorming Method in fresh grade, (4)There is no interaction between the use of Brainstorming method and the student’s interest toward the result of their study of fresh grade. After conducted this research, the researcher would like to propose suggestion to the teacher to explore applying Brainstorming Method to increase their student interest in study.
Phy-Q as a measure for physical reasoning intelligence

Abstract Humans are well versed in reasoning about the behaviours of physical objects and choosing actions accordingly to accomplish tasks, while this remains a major challenge for artificial intelligence. To facilitate research addressing this problem, we propose a new testbed that requires an agent to reason about physical scenarios and take an action appropriately. Inspired by the physical knowledge acquired in infancy and the capabilities required for robots to operate in real-world environments, we identify 15 essential physical scenarios. We create a wide variety of distinct task templates, and we ensure that all the task templates within the same scenario can be solved by using one specific strategic physical rule. By having such a design, we evaluate two distinct levels of generalization, namely local generalization and broad generalization. We conduct an extensive evaluation with human players, learning agents with various input types and architectures, and heuristic agents with different strategies. Inspired by how the human intelligence quotient is calculated, we define the physical reasoning quotient (Phy-Q score) that reflects the physical reasoning intelligence of an agent using the physical scenarios we considered. Our evaluation shows that (1) all the agents are far below human performance, and (2) learning agents, even with good local generalization ability, struggle to learn the underlying physical reasoning rules and fail to generalize broadly. We encourage the development of intelligent agents that can reach the human-level Phy-Q score.
Prediction of chicken prices during Covid-19 pandemic using VAR, Kernel, and Fourier series simultaneously

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation Haydar Arsy Firdaus, Alvito Aryo Pangestu, M. Fariz Fadillah Mardianto, Siti Maghfirotul Ulyah, Elly Pusporani; Prediction of chicken prices during Covid-19 pandemic using VAR, Kernel, and Fourier series simultaneously. AIP Conference Proceedings 25 January 2023; 2554 (1): 030011. https://doi.org/10.1063/5.0103815 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAIP Publishing PortfolioAIP Conference Proceedings Search Advanced Search |Citation Search