Reviewerly/exHarmony huggingface dataset:
Communication with the digital population through the design thinking process

본 연구의 주요 논제는 디자인 씽킹 프로세스의 핵심인 협업을 위한 소통의 중요성이다. 극변하는 이 시대, 디지털 혁명 속에서 성장한 디지털 세대와 소통은 이전 세대와 공감에서 많은 격차를 보이며 때론 갈등을 빚고 있다. 이를 해결하기 위해 디지털 세대 집단의 특성을 파악해 협업에서 소통의 상호작용을 파악하는 것이다. 이를 위해 Z세대를 중심으로 현재, 디지털 문화를 향유하고 있는 X, M세대까지 심층 인터뷰를 진행하였다. 심층 인터뷰의 결과는 NVIVO12를 사용해 정성 데이터를 도출하였다. 또한 정성 데이터의 2차 분석을 위해 Z세대를 중심으로 한 디지털 집단의 특성을 디지털 개척자(digital pioneer), 창조적 생산자(creative producer), 일상 소통가(everyday communicator), 정보 수집가(information gatherer)로 정의하였다. 또한 심층 인터뷰를 통해 도출된 정성 데이터의 내용을 바탕으로 디지털 집단이 디자인 씽킹 프로세스에서 효과적으로 소통 가능한 키워드가 무엇인지 분석하였다. 이렇게 도출된 디자인 씽킹 프로세스의 키워드는 디지털 집단 인터뷰를 통해 도출된 소통의 키워드와 통합해 디지털 집단과의 소통을 위한 관계성에 대해 논의 하고 이를 개념도로 도출하였다. 디지털 집단과 디자인 씽킹의 소통 관계 개념도는 디지털 집단과의 소통을 위한 가이드라인으로 디자인 씽킹 프로세스를 통해 나온 각 단계의 소통 키워드와 질적 조사를 통해 도출된 디지털 집단의 소통 키워드를 분석해 구조화하였다. 본 연구는 디자인 씽킹을 문제 해결을 위한 방법론에서 디지털 집단이 주체가 되어 학술적으로나 산업&#61600;경제적인 측면에서 연구범위를 확장시킬 수 있다는 기대를 가진다. 디지털 집단의 개념을 단순히 디지털 기반의 세대별 의미를 정의하는 것이 아니라 디지털 문화가 주가 되는 다양한 세대를 특정 집단으로 정의해 연구하였다는 점에서 의미가 있다.The main topic of this study focused on the importance of communication for collaboration, which is the core of the design thinking process. Communication with the digital generation who grew up in the rapidly changing digital revolution is in conflict with the previous generation, showing a sympathetic gap. To solve this problem, it is to identify the characteristics of the digital population and understand the interaction of communication to communicate more smoothly in collaboration. To this end, in-depth interviews were conducted with Generations X, M, and Z, who are enjoying digital culture centered on Generation Z. The results of the in-depth interview were derived as qualitative data using NVIVO12. In addition, for the secondary analysis of qualitative data, the characteristics of the digital population centered on Generation Z were defined into digital pioneer, creative producer, everyday communicator, and information gatherer. The core of this study is that, based on the qualitative data derived through in-depth interviews, the digital population studied what keywords can communicate effectively in the design thinking process. In addition, by integrating the keywords of communication derived through the digital population and the keyword of communication required in the design thinking process, the relationship for communication with the digital group was derived as a conceptual diagram. This study is expected to be is meaningful that the concept of digital group does not simply define the meaning of each generation based on digital, but that various generations where digital culture is the main focus are defined and studied as a specific group. In addition, it is worth research in that it can be used as basic data for design education of digital groups based on the culture of digital populations in the future.
Using Genetic Algorithms to Optimized Stacking Ensemble Model for Phishing Websites Detection

Phishing attacks are security attacks that affect individuals and organisations websites. I addition, it may also devices and networks such as Internet of Things (IoT) devices and networks. IoT networks are exposed environment for phishing attacks. Thingbots software in IoT devices can be utilized by attackers for spreading hidden and unnoticed spam emails. Several approaches such as machine learning, deep learning and others were used to create and design detection methods for phishing attacks. However, these methods detection accuracy still not enough and need to be enhanced. Anew proposed method for phishing website detection that based on optimized ensemble classification method is suggested in the present study. in this proposed method, A Genetic Algorithm (GA) was used to optimize the ensemble classification method by tuning the parameters of several ensemble machine learning methods, including Bagging, GradientBoost, and LightGBM. These were accomplished by ranking the optimized classifiers to pick out the best three models as base classifiers of a stacking ensemble method. A dataset of websites that made up of 44% phishing websites (4898) and 5\% legitimate websites (6157) was used for the present study experiments. As a come out, with the proposed detection method, detection accuracy was enhanced and reached 97.16%.
Acknowledgment to Reviewers of Drones in 2020

Peer review is the driving force of journal development, and reviewers are gatekeepers who ensure that Drones maintains its standards for the high quality of its published papers [...]
Paraconsistent annotated logic applied to industry assets condition monitoring and failure prevention based on vibration signatures

In this study, we introduced an expert system (ESvbrPAL2v), responsible for monitoring assets based on vibration signature analysis through a set of algorithms based on the Paraconsistent Annotated Logic – PAL. Being a non-classical logic, the main feature of the PAL is to support contradictory inputs in its foundation. It is therefore suitable for building algorithmic models capable of performing out appropriate treatment for complex signals, such as those coming from vibration. The ESvbrPAL2v was built on an ATMega2560 microcontroller, where vibration signals were captured from the mechanical structures of the machines by sensors and, after receiving special treatment through the Discrete Fourier Transform (DFT), then properly modeled to paraconsistent logic signals and vibration patterns. Using the PAL fundamentals, vibration signature patterns were built for possible and known vibration issues stored in ESvbrPAL2v and continuously compared through configurations composed by a network of paraconsistent algorithms that detects anomalies and generate signals that will report on the current risk status of the machine in real time. The tests to confirm the efficiency of ESvbrPAL2v were performed in analyses initially carried out on small prototypes and, after the initial adjustments, tests were carried out on bearings of a group of medium-power motor generators built specifically for this study. The results are shown at the end of this study and have a high index of signature identification and risk of failure detection. These results justifies the method used and future applications considering that ESvbrPAL2v is still in its first version.
Anna: A Dapper Open-Domain Dialogue Agent Based on a Joint Attention Network

We constructed a high-quality open-domain dialogue generation model called Anna that is composed of a hierarchical self-attention network with multiple convolution filters and a topic-augmented network. During daily conversations, humans typically respond by understanding a dialogue history and assembling their knowledge regarding the topic. However, existing dialogue generation models are weak at capturing the dependencies among words or utterances, resulting in an insufficient understanding of context and the generation of irrelevant responses. Previous works have largely ignored topic information modeling in multi-turn dialogue, making responses overly generic. Although pre-training using large-scale transformer models has recently resulted in enhanced performance, large parameter sizes complicate such models. Anna effectively captures contextual dependencies and assigns greater weight to important words and utterances to compute context representations. We incorporate topic information into our model as prior knowledge to synthesize topic representations. Two types of representations jointly determine the probability distributions of responses, which effectively simulates how people behave in real conversations. Empirical studies on both Chinese and English corpora demonstrate that Anna outperforms baseline models in terms of response quality, parameter size and decoding speed.
Pemantauan Pelaksanaan Asesmen Nasional Berbasis Komputer (ANBK) Sekolah Dasar Binaan Kecamatan Kopang Kabupaten Lombok Tengah Tahun 2021

The purpose of this study is to describe the monitoring of the Implementation of the Computer-Based National Assessment (ANBK) at the Kopang District Primary Schools in 2021. The research method used is a descriptive method. The research data collection techniques used were observation, interviews, and documentation. While the data analysis technique used descriptive qualitative and quantitative analysis. The results of the study indicate that in order to improve the quality and quantity of the implementation of ANBK in the future, it is necessary to: (1) Improve the competence of educators and education staff in preparing literacy and numeracy-oriented questions in each subject through workshops. (2) Capacity building of educators and education staff in implementing school digitization through IHT. (3) Increasing the provision of ANBK facilities and infrastructure by procuring at least one IT laboratory space in one school cluster through DAK. (4) Increasing the availability of computer/laptop equipment through the use of Regular/Affirmative/Performance BOS funds. (5) Capacity building of school principals in school management. (6) Increasing the capacity of school supervisors in academic supervision and managerial supervision. (7) Empowerment of KKG, KKKS and KKPS forums in completing their respective main tasks and functions.
ВИТАГЕН ҲАМДА ВИТАГЕН ТАЪЛИМ ТУШУНЧАСИГА ОИД НАЗАРИЙ ТАДҚИҚОТЛАР ТАҲЛИЛИ

Background. This article is devoted to the study of vitagenic experience and vitagenic information. The article considers life experience as a function of ensuring the harmony of science and life in all fields of science. It also argues that the vitagenic experience can serve as an important tool in educating smart citizens who create a smart society in which information, data and media determine global trends.Methods. In the writing process of the article we used methods of work with documents, abstraction and concretization, review, comparative analysis.Results. The article analyzes various approaches to the concept of «vitagenicity», also provides examples with vitagenic information that are used during classes.Conclusion. In the conclusion, conclusions are given on the application of vitagenic experience in the learning process, as well as the expected results. Ushbu maqola vitagenik tajriba va vitagenik ma'lumotlarni o'rganishga bag'ishlangan. Maqolada hayotiy tajriba fanning barcha sohalarida fan va hayot uyg'unligini ta'minlash funktsiyasi sifatida ko'rib chiqiladi. Shuningdek, u hayotiy tajriba axborot, ma'lumotlar va ommaviy axborot vositalari global tendentsiyalarni belgilaydigan aqlli jamiyatni yaratadigan aqlli fuqarolarni tarbiyalashda muhim vosita bo'lib xizmat qilishi mumkinligini ta'kidlaydi. Данная статья посвящена изучению витагенного опыта и витагенной информации. В статье жизненный опыт рассматривается как функция обеспечения гармонии науки и жизни во всех областях науки. В нем также утверждается, что витагенный опыт может служить важным инструментом в обучении умных граждан, которые создают умное общество, в котором информация, данные и средства массовой информации определяют глобальные тенденции.
Peer review declaration

All papers published in this volume of Journal of Physics: Conference Series have been peer reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. • Type of peer review: Double-blind • Conference submission management system: AI Electronic Submission System • Number of submissions received: 85 • Number of submissions sent for review: 81 • Number of submissions accepted: 43 • Acceptance Rate (Number of Submissions Accepted/Number of Submissions Received X 100): 51% • Average number of reviews per paper: 2 • Total number of reviewers involved: 22 • 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. What criteria were considered when assessing the articles: A. Style and Organization: 1.Is the paper clearly presented and well organized? 2.Is the English satisfactory? 3.Is the title appropriate? 4.Are the figures, tables, and their captions clear? 5.Are the references to related work adequate? B. Scientific Quality 1.Contains significant contributions to the advancement of the subject. 2.Sound, original, and of interest. 3.Does not add to knowledge of the subject. 4.Contains fundamental errors. • Contact person for queries: Yunqiu He Tongji University yunqiuhe@aliyun.com
Improved Deep Hiding/Extraction Algorithm to Enhance the Payload Capacity and Security Level of Hidden Information

Steganography algorithms have become a significant technique for preventing illegal users from obtaining secret data. In this paper, a deep hiding/extraction algorithm has been improved (IDHEA) to hide a secret message in colour images. The proposed algorithm has been applied to enhance the payload capacity and reduce the time complexity. Modified LSB (MLSB) is based on disseminating secret data randomly on a cover-image and has been proposed to replace a number of bits per byte (Nbpb), up to 4 bits, to increase payload capacity and make it difficult to access the hiding data. The number of levels of the IDHEA algorithm has been specified randomly; each level uses a colour image, and from one level to the next, the image size is expanded, where this algorithm starts with a small size of a cover-image and increases the size of the image gradually or suddenly at the next level, according to an enlargement ratio. Lossless image compression based on the run-length encoding algorithm and Gzip has been applied to enable the size of the data that is hiding at the next level, and data encryption using the Advanced Encryption Standard algorithm (AES) has been introduced at each level to enhance the security level. Thus, the effectiveness of the proposed IDHEA algorithm has been measured at the last level, and the performance of the proposed hiding algorithm has been checked by many statistical and visual measures in terms of the embedding capacity and imperceptibility. Comparisons between the proposed approach and previous work have been implemented; it appears that the intended approach is better than the previously modified LSB algorithms, and it works against visual and statistical attacks with excellent performance achieved by using the detection error (PE). Furthermore, the results confirmed that the stego-image with high imperceptibility has reached even a payload capacity that is large and replaces twelve bits per pixel (12-bpp). Moreover, testing is confirmed in that the proposed algorithm can embed secret data efficiently with better visual quality.
Sistem Peringatan Dini Untuk Pengendalian Pembatasan Jarak Fisik Dengan Metode RSSI Menggunakan Modul Wemos D1 Mini

Covid-19 was first reported in Indonesia in March 2020. A month later the confirmed cases had reached 1528 cases and the death toll was 136 cases. Distance restrictions, also known as physical and social distance, are one of the government's efforts to reduce the rate of increase in the number of positive Covid-19 patients. However, this policy is still not fully effective, due to the low level of community compliance. When personal awareness has not been awakened, the use of technology in the context of early warning to maintain distance is an effective solution. This article discusses the use of received signal strength indicator (RSSI) from the Wemos D1 Mini module as a model of an early warning system device to anticipate unsafe distances when someone is in a crowd. The use of RSSI in this study shows that the device made works well, where the alarm is active when the distance between devices is 1 meter. The system performance was analyzed by calculating and measuring the average RSSI error value of -34.46 dBm and the average distance error of 0.26 meters. Overall, the early warning system using this method can be used properly to estimate physical distance restrictions during a pandemic.
Magyar és német anyanyelvű finntanulók hibái a partitívuszi és a teljes tárgy használata során

Future workVe′rdd has relations other than translation relations to deal with.These include: "Etymological relation" for marking associations between cognates; "Compound relation" for associating compound words with the elements; "Derivation relation" for associating derived words with their source stems and derivational affixes.These could, in the future, be predicted automatically by incorporating methods such as the ones by Alnajjar et al. ( 2017), Hämäläinen -Rueter (2019) and Alnajjar (2021), test materials could be found in Keresztes (2013).Etymological relations between words of the Mordvin idioms may be readily augmented in Ve′rdd at the present by entering documentation metadata from sources such as (Keresztes 2011: 107-118), and even more extensive alignments can be found in the Mordwinisches Wörterbuch (1990Wörterbuch ( , 1992Wörterbuch ( , 1994Wörterbuch ( , 1996)), both at the lemma level and the etymology level (cf.Rueter 2020).Future work will involve the enhancement of parallel corpora development for Erzya and Moksha, both literary and vernacular in collaboration with other centers of Mordvin studies.The lexical resources we have created and described here could be used in future in research on morphological derivations, dialect areas and lexical distributions.Furthermore, this approach can be useful for other endangered languages as well.
Characterizing Terminal Airspace Operational States and Detecting Airspace-Level Anomalies

Global modernization efforts focus on increasing aviation system capacity and efficiency, while maintaining high levels of safety. To accomplish these objectives, new analysis methods are required that consider Air Traffic Management (ATM) system operations at both the flight level and the airspace level. With the expansion of ADS-B technology, open-source flight tracking data has become more readily available to enable larger-scale analyses of aircraft operations. Specifically, anomaly detection has been identified as being paramount. However, previous analyses of airspace-level operational states have not considered the observation of transitional (transitioning between two distinct airspace-level operational patterns) or anomalous operational states. Therefore, a method is proposed in which the time-series trajectory data of all aircraft operating within a terminal airspace during a specified time period is aggregated to generate a representation of the airspace-level operational states such that a recursive DBSCAN procedure to characterize airspace-level operational states as either nominal, transitional, or anomalous as well as to identify the distinct nominal operational patterns. This method is demonstrated on one year of ADS-B trajectory data for aircraft arriving at San Francisco International Airport (KSFO). Overall, visual inspection of results indicate the method&rsquo;s promise in assisting ATM system operators, decision-makers, and planners in designing the implementation of new operational concepts.
INDUSTRIAL ELECTRICITY PORTRAIT BASED ON IMPROVED K-MEANS CLUSTERING ALGORITHM

With the deepening of big data research and the construction of distribution network automation, power big data is getting more and more attention. How to realize the perception of power network users based on the big data of distribution network and support the related business of distribution network is the key issue that power companies pay attention to at present. In this paper, the annual row data of users are pre-processed, and the electricity consumption data are clustered by improved k-means algorithm. Then combined with the user&apos;s industry information, through the Granger causality test and other algorithms, the industry electricity from the characteristics of electricity and power driving effect of the two dimensions of the portrait; Finally, based on the actual data, the industry electricity portrait is realized, and the effectiveness of the method is verified.
TERMINOLOGICAL APPARATUS OF RUSSIAN MUSICOLOGY OF THE XIX CENTURY: ON THE QUESTION OF THE WAYS OF EMERGENCE AND EXPRESSIVENESS

The article deals with the emergence of the musical and terminological apparatus of Russian musicology (in its European sense, that is in connection with the norms of functioning and existence of music that came to Russia from Western Europe); here its origins are also characterized. Beginning to take shape in the 1830s - 1840s and generally formed by the 1860s, Russian musical-theoretical terminology originated in the field of criticism and journalism. The author reveals the connections of musical and analytical activity with the word, as well as the gradual transition of research interest from music related to the word to non-programmatic instrumental music (A. N. Serov). The author points to the primacy of the formation of musical-theoretical terminology in relation to the formation of methods of musical-theoretical analysis as such, to the movement from General aesthetic problems to more specific ones. Lexicography actively contributed to the formation of Russian scientific and musical terminology. It was handled by V. Odoevsky, A. Serov, and the less well-known M. Rezvoy - the first major musical lexicographer in Russia. The article pays attention to the combination of scientific and artistic features in musical terminology, as well as to the special content of terms that can have either easiness and naturalness, or clumsiness and heaviness of their meaning and sound.
The Relationship Between Participation in Extracurricular Activities and Academic Achievement of FIK Uncen Students Class of 2017

The purpose of this study was to determine the correlation of participation in extracurricular activities with the academic achievement of FIK Uncen students class 2017. The reason behind the researcher lifting the title of this research is because students' interest in extracurricular is so low. In essence, where extracurricular activities have a relationship with academic achievement. This research includes correlational research. The sample in this study were FIK Uncen 2017 students, totaling 26 people. There are two data collection instruments used, namely questionnaires used to measure participation in extracurricular activities and documentation (Study Results) to see the academic achievements of FIK Uncen 2017 students. The data collection techniques used were in three stages, namely interviews, distributing questionnaires, and achievement data. academic. There are two stages of data analysis technique, namely expert judgment validity testing and hypothesis testing with product moment correlation with the help of the SPSS version 22.0 program. The results showed that the p value of 0.036 was smaller than the alpha value (α) of 0.05, which means that there is a significant relationship between participation in extracurricular activities and academic achievement of FIK Uncen students class 2017.