Reviewerly/exHarmony huggingface dataset:
Transforming to Open Science in the NASA Science Mission Directorate

For over 30 years, NASA Science Mission Directorate has been a world leader in making the data from its flagship missions available for anyone to use.This data represents a significant public investment and NASA has a mandate to maximize the accessibility of this information for the public good.Along with the data collected by the Missions, NASA has also supported the curation of data that enables ground breaking research in each of our different disciplines.These novel technologies for data access and curation from the different divisions have enabled groundbreaking science.As technology advances and data volumes grow, SMD is working towards even further enhancing the accessibility of the information that NASA produces.This includes new policies to assure that NASA data is FAIR (Findable, Accessible, Interoperable, and Reusable) in the future, leverage techniques and technologies developed by the different divisions for accessing information across the SMD, enabling new technologies like machine learning and cloud processing along with high performance computing, providing support for citation of data through digital object identifiers, creating the ability to search across SMD to enable cross divisional science, and making sure SMD data are accessible to everyone.With these developments, NASA SMD aims to help the community to Transform to Open Science and accelerate the process of scientific discovery.In the process, this will enable SMD science to be even more inclusive, reproducible, and transparent.
Eye of Devil: Face Recognition in Real World Surveillance Video with Feature Extraction and Pattern Matching

Abstract: People lost, people missing etc., these are the words we come across whenever there is any mass gathering events going on or in crowded areas. To solve this issue some traditional approaches like announcements are in use. One idea is to identify the person using face recognition and pattern matching techniques. There are several techniques to implement face recognition like extraction of facial features by using the position of eyes, nose, jawbone or skin texture analysis etc., By using these techniques a unique dataset can be created for each human. Here the photograph of the missing person can be used to extract these facial features. After getting the dataset of that individual, by using pattern matching techniques, there is a scope to find the person with same facial features in the crowd images or videos. Keywords: Face-Recognition, Image-Processing, Feature extraction, Video-Processing, Pattern-Matching.
Various Security Problems and Its Solving for Future Dynamic IoT-Based Smart Home Automation

Nowadays, Internet of things (IoT) is becoming a huge research platform because of IoT reducing human regular works. IoT provides lot of facilities with different components and different engineering designs. This fast-growing field is having some issues with securities. IoT is having embedded area, so it gets both software and hardware attacks. Through this proposed work firstly, it summarizes the security threats to current and future smart homes. Secondly, with this information as a basis, it provides a contribution to manage the security overview of a smart home environment. The contribution is in the form of a security module prototype which focuses on detecting malicious behavior and reports it to the end user. This research work introduced an effective security solution for all kind of Internet of things. Through smart hub concept, this proposed system detects evil twin attacks, botnet device, some malicious activities detections, etc. The proposed security system will be shown the result, if the smart hub is a viable location for such a mechanism to reside in both concerning resource usage and detection rate with smart home security system.
Securing Images through Cipher Design for Cryptographic Applications

The emphasis of this work is image encoding based on permutation as well as changes that utilize Latin cube as well as Latin square image cipher meant for both color and gray images.Generally, multimedia data are transmitted in the network as well websites, numerous methods have been established for securing the information without any negotiation.Security of information in all the areas is required to ensure that the information sustains privacy, is presentable for recovery as well as governance purposes.These data can be secured by taking CIA (confidentiality, Integrity, and Availability) to realize information like confidentiality about the data that can be reserved as undisclosed from an illegal user of source, the integrity of the data is maintained unaffected for unauthorized font, availability of resources for official personal to retrieve data for access the information.Authentication of a person is by identification, conserving information and its validation of data.Implementing this authentication will store the data in the required format that is either exchanged or transmitted for the internet application.By breaching the misuse of data is can be protected for confidential as well as sensitive data.To achieve security and maintain confidentiality cryptographic methods are implemented.
FIRELY OPTIMIZATION METHOD FOR SOLVING COMBINATORIAL LOGIC PROB- LEMS ON GRAPHS

The article describes the solution of NP-complex combinatorial-logical problems on graphs. The authors pro-pose to use a bioinspired approach based on a modified firefly optimization method. As a modification of the proposed approach, the work introduces procedures for dynamically changing the search area, which allows avoiding local optima. A series of tests and experiments have shown that this method is promising. The time complexity of the developed algorithm in the best case ≈ O(nlogn), in the worst case - О(n2).
Parameters Optimization for Improved Grey Wolf Optimizer by Using Uniform Experimental Design

This paper utilizes an improved strategy and a uniform experimental design (UED) to enhance the algorithmic efficiency of a grey wolf optimizer (GWO) algorithm. The original GWO algorithm is explored and developed by a linear descent in the convergence factor. However, the linear descent may not be efficient in the solution search, and it is easy to fall into the local optimum. For improving the weakness, this paper refers to an improved GWO. The IGWO adopts a convergence factor with a nonlinear strategy, which is based on a sine function, to balance the abilities of exploration and development. In addition, three parameters of a <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">initial</inf> , μ, and C in GWO that need to be optimized are considered. Therefore, the UED method is applied to find the best combination of parameters. From the experimental results, the proposed algorithm can obtain a better performance.
Indian Currency Detection Using KNN Classifier

Fake Currency Detection is the biggest problem faced by many countries including India. The advancement of colour printing technology has increased the rate of fake currency note printing and duplicating the notes on a very large scale. So, it has become a necessity to develop a tool that detects the fake currency note in a less time and in a more efficient manner using Image processing.
Parameter Optimization for CNN-LSTM by Using Uniform Experimental Design

This paper focuses on parameter optimization for CNN-LSTM neural networks. Many parameters influence the entire performance in CNN-LSTM. However, there are few studies to consider optimizing the combination of parameters. To obtain the best combination of parameters effectively, this paper used a uniform experimental design (UED) to execute the experiment design. This paper collected current data from a machine tool feed system, including lubricated and unlubricated feed shafts. This paper used a uniform layout of U <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">10</inf> (10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">10</sup> ) to search the parameter combination of CNN-LSTM. From the experimental results, the combination obtained by UED can get the best performance for CNN-LSTM.
THE PRESENTARY RELATIONSHIP OF PARENTS FOR THE ESTABLISHMENT OF EFFECTIVE APPROACHES FOR THE PURPOSE OF PREVENTION OF AGRESSION IN CHILDREN FROM THE PRIMARY SCHOOL EDUCATION

To reduce aggression in children, parents emphasize the preventive importance of improving communicative and cognitive skills among adolescents. Parents are looking for more information about the normal psychological and emotional development of children for their age. At the level of primary prevention of aggression there is not enough emphasis on this issue. Basically, after the study, it turns out that children show aggression everywhere because they often feel affected by the actions of their classmates. Very often aggressive children do not understand the situation properly. The manifestations of verbal aggression are the most common among children. According to parents, the good example of behavior is a more effective corrective for preventive change in adolescent behavior than censorship, rewards, and penalties. A primary criterion that should be dealt with at the level of primary prevention of aggression is, according to parents, a clear and specific pan to the implementation of preventive action. Preventive activities according to parents should be allocated to preventive roles at the level of primary prevention. There is a clear and concrete plan to counteract aggression in children. This preventive plan can be accomplished by involving parents, children, teachers and other professionals concerned with overcoming aggression in socio-pedagogical training. This preventive socio-pedagogical training will be effective, implemented with a common thematic core and various preventive activities. Conflict relationships between children and the reference environment at primary prevention level need to be realized by building a supportive environment. According to parents, the high level of aggressive behavior in their children is related to aggressive role models that watch children at school on TV, friends, and other perceptual and cognitive perceptions. As main strategies to improve the level of primary prevention of aggression, parents indicate the extension of early prevention activities. Innovations regarding strategies to improve the level of primary prevention of aggression are needed by the majority of parents surveyed. These innovations need to be realized through teamwork at the level of primary prevention of aggression in children of primary school age.
The italian law proposal against homophobia: a danger to the freedom of expression of thought, the educational freedom of families and the protection of minors

Currently in Italy there is discussion on a bill (Ddl no. 2005) formally aimed at combating discrimination based on sexual orientation and gender identity. Due to the vagueness of the rules, the vagueness of some terms and the use of the instrument of criminal sanctions, the Ddl no. 2005 nevertheless presents serious risks for the freedom of expression of thought about sexuality and related issues. The school would be one of the areas most affected by these limitations. With reference to the school context, it is necessary to distinguish the effects under two evaluation profiles: a first profile concerning the effects of the provisions of the bill as a whole and a second profile specifically concerning the effects relating to art. 7 of the bill.
An Autoencoder-based Method for Targeted Attack on Deep Neural Network Models

This paper presents an autoencoder-based method for a targeted attack on deep neural network models, named AE4DNN. The proposed method aims to improve the existing targeted attacks in terms of their generalization, transferability, and the trade-off between the quality of adversarial examples and the computational cost. The idea of AE4DNN is that an autoencoder model is trained from a balanced subset of the training set. The trained autoencoder model is then used to generate adversarial examples from the remaining subset of the training set, produce adversarial examples from new samples, and attack other DNN models. To demonstrate the effectiveness of AE4DNN, the compared methods are box-constrained L-BFGS, Carlini-Wagner ‖L‖ <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> attack, and AAE. The comprehensive experiment on MNIST has shown that AE4DNN can gain a better transferability, improve generalization, and generate high quality of adversarial examples while requiring a low cost of computation. This initial result demonstrates the potential ability of AE4DNN in practice, which would help to reduce the effort of testing deep neural network models.
Information technology is power

This chapter explores the involvement of Brazil’s Serviço Nacional de Informações (SNI) in the field of informatics during the 1970s, ultimately resulting in its control of this field. First, the article offers a brief analysis of the relationship between developmentalism, authoritarianism and technology that influenced Brazil’s establishment of an IT sector. Then, SNI’s internal digitization processes are addressed. The third section shows how SNI’s modernization was accompanied by the military’s interest in influencing areas considered strategic, such as informatics. The final section analyses how the culmination of this process led the SNI to surveil the technical-scientific community: the authorities removed the groups that formerly conducted the National Informatics Policy (Polltica Nacional de Informática) and started to control decisions through a “Special Department for Informatics” (Secretaria Especial de Informática).
EDUCATIONAL FACILITIES NEEDS MANAGEMENT BASED ON POPULATION GROWTH PROJECTIONS JAMBI PROVINCE OF 2023

This study aims to develop a pattern of planning for educational facilities in the education management system in Jambi Province based on the projection of population growth in Jambi Province in 2023. The method used in this study is the quantitative method. The data collection method was carried out by literature study, and secondary data study from the Central Statistics Agency of Jambi Province. The results showed that the projected population growth in 2023 experienced different trends in each district and city. Population growth projections provide a real picture of school needs for junior high school &amp; senior high school. This trend indicates a strong direction of management functionalization in planning aspects for local governments to meet the needs of educational facilities junior high school &amp; senior high school which are relatively balanced with the population. Analysis of the results of the calculation of the number of school availability with the population in each region is relatively less balanced. This happens because one of the main factors, namely planning for school needs, is not based on information and projected data for calculating population growth in the area. The results showed that the areas that did not need to add junior high schools until 2023 were Kerinci, Merangin, Sarolangun, Batanghari, Muaro Jambi, East Tanjung Jabung, West Tanjung Jabung, Tebo, Bungo districts. On the other hand, the areas that require an additional number of junior high schools are the City of Jambi as many as 32 and the City of Sungai Penuh with 3 schools. For the senior high school, all districts in Jambi Province require additional schools. Therefore, it is suggested to the Government and Regional Governments to develop plans based on population growth projections so that there is an even distribution of educational facilities so that inequality between regions can be minimized..Key words: population growth projections, educational facilities, management, planning
Assistancing and Recogning to the Students on English for Business in Bireuen, Aceh District

Bireuen is one of the district which make a village for Acheness cakes home industry production. A various cakes in Acheness have a quality. English for business is one the English subject must be taken by the students. English for Business is the activities of making, buying and buying selling in good service and then exchanging them for the money, the activities can be completed at home. Some problems were faced by the people; such as is not good in packaging, is not interesting cointainer, and do not how to promote their product by using social media to increase their income and also improve their quality of the products in Bireuen district, Acheh province. The method of this study is help the people by giving the suggestion and providing packing product in interesting cointainer. Giving the deeply understanding to the students and also the people in developing the mindset of enterpreneurship, the facillitate in equipment, marketing strategy, and marketing management. The results of this program are improve the students in comprehending the English for business, a good packaging and interesting cointaners, increasing the income for the people through promote in media social.
Peer review declaration

All conference organisers/editors are required to declare details about their peer review. Therefore, please provide the following information: • Type of peer review: Double-blind • Conference submission management system: AI Scholar System • Number of submissions received: 96 • Number of submissions sent for review: 89 • Number of submissions accepted: 48 • Acceptance Rate (Number of Submissions Accepted/Number of Submissions Received X 100): 50% • Average number of reviews per paper: 2 • Total number of reviewers involved: 35 • Any additional info on review process : • Step 1. Each of selected paper will be reviewed by two/three professional experts in the related subject area. • Step 2. Review Reports received from the experts will be judged by one of the editors either Review Reports are logical or not? • Step 3. If not logical, then editor can assign new reviewer or can also judge at his/her own. • Step 4. If logical, then Review Reports will be sent to authors to modify the manuscript accordingly. • Step 5. Authors will be required to revise their papers according to the points raised. • Step 6. Revised version will then be evaluated by the editor for the incorporation of the points raised by the reviewers. • Step 7. Then the editor will send the revised manuscript to the reviewers again for re-evaluation. • Step 8. If the reviewers approve the revise version of the manuscript, then will be accepted for publication. • Contact person for queries : Xuexia Ye publication@keoaeic.org AEIC Academic Exchange Information Centre
COMPARATIVE ANALYSIS AND APPLICABILITY DETERMINATION FOR SEVERAL DLT SOLUTIONS

Potential benefits of implementation of distributed ledger technology are widely discussedamong different business actors and governmental structures. Within the last decade, with growingpopularity of blockchain-based payment systems and cryptocurrencies, these discussions considerablysharpened. Therefore, an extensive body of research has emerged on this soil. The goal of this study isto attempt to make a comparative analysis of several existing blockchain-based distributed ledgerplatforms. Besides that, authors overview the most commonly used consensus algorithms and designapproaches, as for any blockchain product, consensus algorithm is a crucial part which determines theperformance of the overall system. Choosing the right algorithm would ensure high reliability andthroughput, while the wrong choice could cause fatal malfunctions for the application. A suitablealgorithm usually should be chosen according to the task in consideration, e.g. Nakamoto-styleprotocols could be considered better for public networks, while multiround voting protocols are moresuitable for private and secure systems. The highest attention is paid to consensus algorithms based onthe solution of the Byzantine Fault Tolerance problem (BFT).
A Case of Online Korean Class Using Online Tools - Focusing on Shanda University, Shanghai -

본 연구는 온라인 수업에서의 상호작용에 도움을 주며, 중국과 한국에서 동시에 사용할수 있는 다양한 온라인 협업 도구를 소개하고, 이 도구 네 가지(mentimeter, zoom, padlet, Quizizz)를 사용하여 중국인 대상 한국어 수업을 운영한 사례를 제시하였다. 그리고본 수업 운영에 대한 학습자 만족도를 살펴보기 위하여 2021학년도 3월 학기에 본 수업을수강한 상해 삼달대학교 한국어 학습자 75명을 대상으로 만족도 조사를 시행하였으며, 그결과 전체적인 수업 만족도는 평균 4.09였다. 또한, 온라인 수업에서의 상호작용 향상을위한 방법으로 활용한 온라인 협업 도구에 대한 전체적인 만족도는 4.24였으며, 각 도구의만족도는 mentimeter가 4.63, zoom이 4.15, padlet이 4.09, Quizizz 3.81 순이었다. 이 중에서 협업 도구에 대한 전체적인 만족도와 padlet 만족도가 수업 전체 만족도에 영향을미치는 것으로 분석되었다. 본 연구 결과에 따른 제언은 다음과 같다. 첫째, 온라인 협업도구 활용에 대한 학습자 만족도가 높기 때문에 한국어 수업에 활용할 수 있는 다양한 협업도구 연구를 바탕으로 수업 적용이 필요하며, 각 국 학습자용 교재 편찬이 필요하다고 할수 있다. 본 연구는 다양한 온라인 수업에서의 상호작용에 필요한 다양한 협업 도구를 소개하고 비대면 수업에서의 실제 활용방안을 제시했으며, 이에 대한 학습자들의 의견을 수렴했다는 점에서 의의가 있다.This study was to present a case of an Online Korean class using four online tools such as Mentimeter, Zoom, Padlet, Quizizz for helping the interaction of Korean and Chinese students. To investigate learner satisfaction, 75 Chinese students from Shanda University participated in a survey after the class. The results were as follows: First, the overall class satisfaction was 4.09, especially students were satisfied with using collaboration tools. Second, online tool satisfaction was 4.63 for Mentimeter, 4.15 for Zoom, 4.09 for Padlet, and 3.81 for Quizizz in the order of the program. Based on the results, it was suggested applications of various online tools into class and textbooks for learners. At last, it was significant that the case of online Korean class was presented with many online tools and learners satisfaction in this study.
Reference-free differential histogram-correlative detection of steganography: performance analysis

&lt;span lang="EN-US"&gt;Recent &lt;span&gt;research has demonstrated the effectiveness of utilizing neural networks for detect tampering in images. However, because accessing a database is complex, which is needed in the classification process to detect tampering, reference-free steganalysis attracted attention. In recent work, an approach for least significant bit (LSB) steganalysis has been presented based on analyzing the derivatives of the histogram correlation. In this paper, we further examine this strategy for other steganographic methods. Detecting image tampering in the spatial domain, such as image steganography. It is found that the above approach could be applied successfully to other kinds of steganography with different orders of histogram-correlation derivatives. Also, the limits of the ratio stego-image to cover are considered, where very small ratios can escape this detection method unless &lt;/span&gt; modified.&lt;/span&gt;
Adaptive two-phase estimation on a photonic integrated device

Efficient adaptive multiphase estimation has been demonstrated experimentally on an integrated three-arm interferometer injected by single photons. Bayesian learning and Sequential Monte Carlo approximation have been employed as machine learning tools to achieve this goal.
Microsoft office excel macro-based information system application training for travel entrepreneurs in Samarinda

This community service aims to improve the understanding and skills of travel entrepreneurs in Samarinda in using integrated information system applications with macro in excel. The problems faced by travel entrepreneurs are bookkeeping and financial management which are still conventional so that the majority of them cannot know for sure their financial position and assets. This community service is carried out with training that begins with a process of observation and discussion with travel entrepreneurs in Samarinda. Furthermore, the entrepreneurs were given material about the urgency of an information system based on Macro in Excel for business management. The results of the service activities reveal that travel entrepreneurs can practically use the macro in excel well, but still need to be careful in the data input process. Programs that have been created can be developed because the facilities available in macro is very customizable.