Reviewerly/exHarmony huggingface dataset:
A Novel Inconsequential Encryption Algorithm for Big Data in Cloud Computing

In the digitalized era of the information technology the expansion of the data usage is very high accounting for about enormous data transaction in day to day life. Data from different sources like sensors, mobile phones, satellite, social media and networks, logical transaction and ventures, etc add an gigantic pile to the existing stack of data. One of the best way to handle this exponential data production is the Hadoop network. Thus in the current scenario big industries and organizations rely on the Hadoop network for the production of their essential data. Focusing on the data generation and organization, data security one of the most primary important consideration was left unnoticed making data vulnerable to cyber attacks and hacking. Hence this article proposes an effective mixed algorithm concept with the Salsa20 and AES algorithm to enhance the security of the transaction against unauthorised access and validates the quick data transaction with minimal encryption and decryption time. High throughput obtained in this hybrid framework demonstrates the effectiveness of the proposed algorithmic structure over the existing systems
Analisis Data untuk Memprediksi Pagu Minus dan Membantu PPK dalam Pelaksanaan Pengujian Material

Budget availability and fairness of billing are things that had to be assured by Pejabat Pembuat Komitmen (PPK) or Commitment Making Official before paying a bill with the state budget. Analyzing the data in Platform Pembayaran Pemerintah (PPP) or Government Payment Platform could help PPK to predict the budget availability and fairness of billing. PPP is an interconnection between the core system, support system, partner system, and monitoring system. This interconnection enables more reliable data collection because there is a data exchange within the ecosystem, such as the electricity bills. The data would be analyzed to predict the occurrence of shortfalls and to evaluate the billing fairness. For the prediction of the occurrence of shortfalls, clustered time series forecasting is used with the ARIMA model, while to assist in the fair assessment of billing, descriptive statistics of historical data are used to evaluate the current bills. From the results of the analysis, it can be seen that the ARIMA model can be used to predict the occurrence of a budget shortfall and descriptive statistics can be used as a basis for evaluating current bills.
LSTM-CNN Tabanlı Derin Öğrenme Tekniği Kullanılarak Küresel Yatay Güneş Radyasyonu ile Hava Durumu Parametrelerinin Tahmini ve Analizi

Predicting global horizontal solar irradiance (GHSI) as well as important climate parameters plays an important role in energy management and resource planning of photovoltaic panels. To further benefit from solar energy, it is necessary to obtain information regarding future values by frequently analyzing and predicting such time series parameter data. Hence, predicting long-term solar irradiance data is a challenging task. For these purposes, in this work, a hybrid method, with modeling of Long Short-Term Memory (LSTM) and Convolutional Neural Network (CNN) deep neural networks, is proposed to ensure the most accurate prediction of such data. The GHSI as well as temperature, relative humidity, and wind speed data obtained in the Jordan valley are used in the forecasting methodology. In the CNN block of the proposed deep architecture, the input parameters are passed through the convolution, pooling, and flattening layers, and the outputs are forwarded to the LSTM data input. With this method, it is aimed to make more effective and accurate estimations. The proposed method has been compared according to Root Mean Square Error (RMSE), Mean Absolute Deviation Error (MADE), and Mean Absolute Percentage Error (MAPE) error performance criteria in order to reveal the difference from other methods. The proposed method produces superior results compared to other algorithms, especially in GHSI estimation.
My husband, do you want to have (盡) good relation with me (忠), your wife, by inspecting me (目) and by your power (刀)? You had better use the very (一) important method (ρ), it is your talking to me (口)! (Tcheonzamun 241st-256th)

The French missionary Dallet (1874) wrote in his book that Tcheonzamun (The thousand character essay) had been used for textbook for children’s education for Chinese character in the ancient China and in the ancient Korea. This time, a poem of (Tcheonzamun 241st-256th) was studied. 253-256 忠(Tchung) 則(Tchig) 盡(Zin) 命(Myeong) 칙칙해지면! Tchigtchig Haezimyeon! My husband! When there are too many other people here! (Because I feel shy in front of other people!) 253-256 忠(Tchung) 則(Tchig)-人=目刀 盡(Zin) 命(Myeong)-人=一口ρ My husband, do you want to have (盡) good relation with me (忠), your wife, by inspecting me (目) and by your power (刀)? You had better use the very (一) important method (ρ), it is your talking to me (口)!
Generating Soil Parent Material Environmental Covariates Using Sentinel – 2A Images for Delineating Soil Attributes

Soil mapping procedures typically involve the combination of possible soil-forming SCORPAN factors. Among the factors, parent materials/ mineralogy has been considered important for the soil classification besides the Organisms (O) and Relief (R). Inclusion of the parent material covariate for the Digital soil mapping involves implication through geological maps, spectral derivatives and predictive modelling. In this study, the most prominent parent materials identified were derived using the spectral indices formulated based on the Sentinel – 2A multispectral information. While considering the coarse spatial resolution constraints of the existing Landsat -8 bands that may limit certain applications, Sentinel-2 images were used for the indices derivation. The generated mineral maps can support the digital soil mapping of the soil attributes at different spatial scales.
Program Semantics and a Verification Technique for Knowledge-Based Multi-Agent Systems

We give a relational and a weakest precondition semantics for "knowledge-based programs", i.e., programs that restrict observability of variables so as to richly express changes in the knowledge of agents who can or cannot observe said variables. Based on these knowledge-based programs, we define a program-epistemic logic to model complex epistemic properties of the execution of multi-agent systems. We translate the validity of program-epistemic logic formulae into first-order validity, using our weakest precondition semantics and an ingenious book-keeping of variable assignment. We implement our translation in Haskell in a general way (i.e., independently of the programs in the logical statements), and test this novel verification method for our new program-epistemic logic on a series of well-established examples.
Linear Operator Equations

Monte Carlo (MC) methods have been applied to the solution of linear operator equations. The methods differ somewhat from MC as quadrature and involve the concept of random walks. Two- and three-dimensional problems are often solved by “walking on circles” and “walking on spheres” algorithms. Eigenvalue problems can also be solved by MC methods. Certain time-dependent problems are approached using reverse-time MC. This chapter gives a fairly thorough treatment of the various MC methods that are used to construct estimates of solutions to linear algebraic, differential, and integral equations. Although MC is often not the method of choice for solving linear operator equations, it is instructive to see how MC random walks can lead to solutions and in some cases, MC is the best approach. Fifteen example problems are given, in order to illustrate the methods used.
Rooftop PV Plant Development Planning at the Central Java Provincial DPRD Secretariat Office

Central Java Province targets the achievement of the new and renewable energy (EBT) portion in the energy mix by 2030 at 22.55%. In order to achieve this target, the Central Java Provincial Government has consistently developed the use of EBT, one of which is through the construction of rooftop solar power plants (Rooftop PV Plant) in government buildings. In addition to requiring a fairly high initial investment cost, the construction of a Rooftop PV plant connected to the PT. PLN (Persero) requires a fairly complicated process, so proper planning must obtain optimal results. This paper will discuss an example of a Rooftop PV Plant development plan at the Secretariat Office of the Central Java Provincial DPRD, including the use of electrical energy prior to the installation of a Rooftop PV Plant; an analysis of the condition and availability of the location; the design and system of a Rooftop PV Plant; an estimate of the total potential energy that can generate; the investment costs of a Rooftop PV Plant; as well as evaluating the results of using Rooftop PV Plant. The electricity bill at the Central Java Provincial DPRD Secretariat Office prior to installing Rooftop PV Plant is Rp. 91.308.323,- per month. The recommended PV design, built on an area of ​​197 m2, is a rooftop on-grid PV Plant system with 6 PV arrays, each of which PV arrays are installed with as many as 20 solar modules arranged in series. The total number of solar modules installed is 120 solar modules with a total capacity equivalent to 30 kWp. Based on the simulation results using the PVSyst 6.4.3 software, the Rooftop PV Plant system can generate electrical energy of up to 43,420kWh per year or equivalent to 118.9kWh per day with a performance ratio of 79.4%. The potential for saving electricity costs from the simulation results can reach Rp. 4,034,441.- per month. The results of the evaluation of the utilization of the Rooftop PV Plant through the recording of the inverter monitoring system within 1 (one) year after installation shows the amount of electrical energy produced is 40,558 kWh, so that the manager of the Secretariat of the DPRD Central Java Province office can save a budget of Rp. 3,768,514.- per month from the use of the Rooftop PV Plant. This figure is not much different from the simulation results at planning. There is a difference in the cost savings of electricity payments at the Central Java Provincial DPRD Secretariat Office during 2020 of Rp. 4,493,300,- excluding savings due to the use of Rooftop PV Plant due to implementing the work from home (WFH) system during the COVID-19 pandemic, which resulted in a significant reduction in the use of electrical energy.
IMPLEMENTASI PROGRAM WISATA EDUKASI DALAM MENUMBUHKAN LITERASI MASYARAKAT DI TAMAN BACA MUTIARA HATI KOTA BUKITTINGGI

This study aims to describe the efforts of Mutiara Hati Reading Park, the implementation of educational tourism programs, and the factors supporting and inhibiting the implementation of educational tourism programs in growing public literacy in Mutiara Hati Reading Park, Bukittinggi City. The sample was conducted by purposive sampling method. Collecting data was conducted by from observations, interviews, and documentation.This data analysis technique was carried out in three steps through data collection, data reduction, and drawing conclusions. The results showed that: (1) the efforts made by Mutiara Hati TBM in fostering community literacy include providing a diverse collection of reading materials, providing comfortable reading rooms, holding interesting programs, documenting all types of activities and uploading them to youtube, in collaboration with the government. and service, providing good service to visitors; (2) the implementation of the educational tourism program to foster community literacy consists of learning English with native speakers, learning to write poetry, short stories, and books, storytelling, learning about plants, visiting kindergartens and elementary schools in Bukittinggi City, watching videos and has been implemented properly discussed in 2 aspects, namely the process and objectives, which include the effects that occur on society and the level of change in society ; (3) supporting factors in implementing educational tourism programs to foster community literacy include support from the Bukittinggi city government, social donations from the Library Service and the Office for the Protection of Women and Children, the existence of reading garden volunteers, support from the local community, the existence of support from literacy activists in the city of Bukittinggi, support from the media or the press, natural conditions and the beauty of a unique reading garden. The inhibiting factors include the uneducational mindset of the community, lack of supporting facilities, the lack of a reading garden volunteer personnel, the location of the reading park on the outskirts of the city, the pandemic situation, the narrow reading park area, the timing of activities that clash with the work schedule and school.
AutoInit: Automatic Initialization via Jacobian Tuning

Good initialization is essential for training Deep Neural Networks (DNNs). Oftentimes such initialization is found through a trial and error approach, which has to be applied anew every time an architecture is substantially modified, or inherited from smaller size networks leading to sub-optimal initialization. In this work we introduce a new and cheap algorithm, that allows one to find a good initialization automatically, for general feed-forward DNNs. The algorithm utilizes the Jacobian between adjacent network blocks to tune the network hyperparameters to criticality. We solve the dynamics of the algorithm for fully connected networks with ReLU and derive conditions for its convergence. We then extend the discussion to more general architectures with BatchNorm and residual connections. Finally, we apply our method to ResMLP and VGG architectures, where the automatic one-shot initialization found by our method shows good performance on vision tasks.
Increasing Confidence in Adversarial Robustness Evaluations

Hundreds of defenses have been proposed to make deep neural networks robust against minimal (adversarial) input perturbations. However, only a handful of these defenses held up their claims because correctly evaluating robustness is extremely challenging: Weak attacks often fail to find adversarial examples even if they unknowingly exist, thereby making a vulnerable network look robust. In this paper, we propose a test to identify weak attacks, and thus weak defense evaluations. Our test slightly modifies a neural network to guarantee the existence of an adversarial example for every sample. Consequentially, any correct attack must succeed in breaking this modified network. For eleven out of thirteen previously-published defenses, the original evaluation of the defense fails our test, while stronger attacks that break these defenses pass it. We hope that attack unit tests - such as ours - will be a major component in future robustness evaluations and increase confidence in an empirical field that is currently riddled with skepticism.
Learning Connected Speech by Pronouncing Song Lyrics: Students' Perspective

Connected speech is a big role in English and has to be understood and mastered by English learners. 20 English Education Department students which are included in the English learner category are the subject of this research. This study aims to investigate how students’ perspective on learning connected speech by pronouncing song lyrics. This study used a qualitative method to focus on analyzing students’ thoughts and it presented descriptively. To collect the data, the researcher used questionnaires and interviews. Totally 58 statements in questionnaires and 16 questions through interviews have given to the subject as a completion. The main finding of this research is all subject loved to listening English song. They has positive responses on learning connected speech using song lyrics. They state that learning connected speech by pronouncing song lyrics can be an effective and fun way. They also feel confident, happy, and close to natives. By seeing the finding, it can be conclude that the problem that existed like students' difficulty when listening to the native speaker speaking, bad pronunciation, shame, less fluency, and even no connected speech are tackled. Moreover, they can learn without boredom because they learn in the way they loved.
Development of an online exam system for students of SMK Negeri 7 Samarinda

An exam is a type of examination or evaluation used to assess a person's abilities. Meanwhile, developing an online exam system in schools can help with the correction process. The waterfall method was utilized to design the system. The waterfall approach is used to carry out the procedure in a sequential manner. The system can be accessible by three types of users: administrators, teachers, and students. The implementation of an online exam system in schools has shown to aid teachers in the correction process, allowing grades to be acquired immediately following the exam.
Virtual Reality as an Artistic Space in the Context of Musical Art

The article highlights the modern view of musical art in the context of the development of information and communication technologies, which form the perception of art in the context of virtual interpretation. The relevance of the study is based on the prerequisites of the modern development of information and innovation society. There is a need for the perception of information in the context of virtual space in the context of the twentieth century. This trend changes approaches to human activities in different spheres of life, including artistic. This article shows the basic principles of virtual reality formation in the context of creating a space for the manifestation of musical art. The basic principles of perception of new artistic media in virtualization and digitalization are defined, and aspects of musical art reproduction are analyzed. This study shows the transformation of real life into virtual simple, which contributes to the spatio-temporal thinking of man and interprets the cultural achievements of human activity throughout the historical development. The article presents theoretical and methodological approaches to the analysis of musical art. The reflexion of the temporal phenomenon of cultural stratification and in-depth analysis of modern digital transformation in the context of virtual space formation is defined. Music discourse is analyzed in the context of cultural dynamics in the direction of the virtual world creation. The methods of analysis and synthesis, the research method and the method of discourse analysis were applied to study the virtualization of the musical environment. This study provided a basis for reflecting the effectiveness of the virtual environment for music art.
Approaches to resource management of a modern university in the context of digitalisation

The article considers the evolution of university models, examines in detail the model of a digital university and pays special attention to changing the paradigm of university resource management in the context of digitalization. The transition from managing university resources to managing access to them is substantiated. This problem is relevant, since the Russian economy is faced with the task of overcoming technological dependence in the current conditions of restrictions and Western sanctions. The development of universities of a new quality, integrated with the real sector of the economy, operating on the basis of digital technologies and providing competitive innovative development, could be a solution to this problem. The purpose of the article is to propose a new methodology for the development of the university and the management of its resources in the context of digitalization. In the course of the study the authors solved the following tasks: they analyzed global trends and external risks for higher education; revealed the phenomenon of the digital university; substantiated the new principles of digital university resource management that meet the requirements of the fourth industrial revolution; proposed an approach to the digital development of the university based on the harmonization of the interests and requirements of stakeholders; considered the concepts of infrastructure logic and the strategy of digital transformation of the university. The article used both general scientifc research methods and special ones: frstly, statistical analysis of indicators of global innovation trends in the feld of digitalization of education and the economy; secondly, an institutional approach aimed at identifying eﬀective institutions (rules of the game) that can increase the overall motivation of internal and external stakeholders of the university to ensure an eﬀective digital transformation process; thirdly, the method of multiple thematic comparisons to analyze the scientifc literature and ofcial sources on the digital development of the university and the innovative economy. As a result of the study, the authors formulated a set of recommendations for developing a strategy for the digital transformation of Russian universities based on the author’s methodology for resource management in the digital age for integration into the global innovation process and obtaining leadership positions in global university rankings.
Decision Making for Biological Tofu Wastewater Treatment to Improve Quality Wastewater Treatment Plant (WWTP) Using Analytical Hierarcy Process (AHP)

This research aims to build a support system for tofu wastewater treatment using the Analytical Hierarchy Process (AHP) method. This research was conducted in one of the household tofu industries in Jakarta. AHP method was used to choose/decide the most effective combination of technologies to treat tofu wastewater. Based on the literature study and inlet characterization, Three alternatives were proposed. Alternative 1 consists of a Collecting tank, Neutralization Tank, Preliminary Sedimentation, Anaerobic Digester, Aeration Tank, and Final Settlement Body. While alternative 2 consists of a Collecting tank, Neutralization Tank, Preliminary Sedimentation, Anaerobic Biofilter, Aeration Tank, and Final Settlement Tank. Alternative 3 consists of a Collecting tank, Neutralization Tank, ABR, Aeration Tank, and Final Sedimentation Tank. The decision criteria used for AHP were effluent quality, land requirement, construction cost and easy maintenance. The primary data used were wastewater flow and outlet concentration. While data of area use , maintenance cost and construction cost were extracted from literature study. The result shows that alternative 3 was the most effective sequence of technology. Eigen Vector Analysis Recapitulation showed that alternative 1 has an overal value of 0.31, alternative 2 has value of 0.2 and alternative 3 has value of 0.5. Using alternative 3, BOD5 can be removed up to 95%, COD can be removed by maximum of 95% by ABR, TSS can be removed by 80% which met the quality standard.