Reviewerly/exHarmony huggingface dataset:
Using SubSieve Technique to Accelerate TupleSieve Algorithm

Sieve algorithms are regarded as the best algorithms to solve the shortest vector problem (SVP) on account of its good asymptotical quality, which could make it outperform enumeration algorithms in solving SVP of high dimension. However, due to its large memory requirement, sieve algorithms are not practical as expected, especially on high dimension lattice. To overcome this bottleneck, TupleSieve algorithm was proposed to reduce memory consumption by a trade-off between time and memory. In this work, aiming to make TupleSieve algorithm more practical, we combine TupleSieve algorithm with SubSieve technique and obtain a sub-exponential gain in running time. For 2-tuple sieve, 3-tuple sieve and arbitrary k-tuple sieve, when selecting projection index d appropriately, the time complexity of our algorithm is O(20.415(n-d)), O(20.566(n-d)) and $O(2^{\frac{k\mathrm{log}_2p}{1-k}(n-d)})$ respectively. In practice, we propose a practical variant of our algorithm based on GaussSieve algorithm. Experimental results show that our algorithm implementation is about two order of magnitude faster than FPLLL's GuassSieve algorithm. Moreover, techniques such as XOR-POPCNT trick, progressive sieving and appropriate projection index selection can be exploited to obtain a further acceleration.
Embedding parallelohedra into primitive cubic networks and structural automata description

The main goal of the paper is to contribute to the agenda of developing an algorithmic model for crystallization and measuring the complexity of crystals by constructing embeddings of 3D parallelohedra into a primitive cubic network ( pcu net). It is proved that any parallelohedron P as well as tiling by P , except the rhombic dodecahedron, can be embedded into the 3D pcu net. It is proved that for the rhombic dodecahedron embedding into the 3D pcu net does not exist; however, embedding into the 4D pcu net exists. The question of how many ways the embedding of a parallelohedron can be constructed is answered. For each parallelohedron, the deterministic finite automaton is developed which models the growth of the crystalline structure with the same combinatorial type as the given parallelohedron.
Integrated Broadening Strategy of Korea for Local Water Service System

세계 각국의 핵심적 정책의제로 부상한 물 문제는 공공서비스와 산업경쟁력이라는 상반된 요인이 혼합되어 있다. 따라서 우리나라의 물 관리나 산업의 도약을 위해서는 상하수도의 통합광역화와 더불어 연구개발, 제품수출 등 물 산업 전반의 네트워크화를 구현해야 한다. 이러한 문제인식을 토대로 본 연구는 최우선 과제인 지방상수도의 광역화에 주목하였다. 우리나라 지방상수도의 경쟁력과 완결성을 담보하는 통합광역화 추진전략을 국내외 유사사례에 대한 비교분석 결과를 토대로 제시하고자 한다. 본 연구는 광역도에 초점이 부여된 통합광역화 전략의 현실적합성 제고를 위해 충청남도 사례분석을 시도하였다. 또한 사례분석 결과를 토대로 중장기 전략기획의 관점에서 지방상수도의 통합광역화 전략을 단기, 중기, 장기라는 3단계로 구분해 제시하였다. 나아가 지방상수도의 통합광역화가 지방하수도의 광역화, 상하수도 통합, 민관합작법인의 활성화, 물 산업의 총체적 경쟁력 강화 등을 자극하는 촉매제의 역할을 수행할 것이라는 점에 정책적 함의를 부여하였다.Rising policy agenda from all over the world, water issues are combination of incompatible factors such as public service and industrial competitiveness. Thus, networking in whole water industry such as integrated broadening in water and sewage, research and development, and product exportation should be implemented. Based on these problems recognition, this research focused on broadening of local water supply system. This research is going to present promotional strategy of integrated broadening that assure competitiveness and completion on the basis of result of comparative analysis on internal and external similar cases. This research attempted case analysis to improve relevance of integrated broadening strategies that focused on county government. Also, it suggested integrated broadening strategies of local water supply system with three stages(short-term, mid-term, and long-term strategy) in respect of medium and long term strategy planning, based on the result of case analysis. Furthermore, this research attached policy implication in terms of local water supply system would perform a role of facilitative factors that stimulate broadening of local sewage, integration of water and sewage, vitalization of public-private partnership, and strengthening of integral water industry competitiveness.
KREATIF, INDAH DAN BERPELUANG BISNIS LEWAT KOKEDAMA

The community service activity is targeted to an organization of Rajagukguk family member in Kisaran, Asahan. It is aimed to provide the kokedama skill training to make decorative plants in which this skill will be able to give knowledge and skill to decorate the house yard or area more beautiful. The community service activity is held for two days, 24 th -25 th April 2020 through online learning media as in COVID pandemic condition, the government has declared to do stay at home and social distancing. Then the method used is to make a video of how to make kokedama and then share the video to the community of Rajagukguk family member. All the members responded positively to this training activities provided.
LibGuides: Online Learning: Library Services & Sources: Databases

Library Services and Sources for Online Classes A listing of all the online databases by vendor. Some are general in scope and some are geared for specific subjects.
Expectation of internal control and parameters of empathy as determinants of university adaptation

There is a necessary for self-regulation of a personality during change of leading sort of activity and adaptation to new one. The article considers means which is able to contribute for increase of social adaptation at University. The interconnection between socio-psychological adaptation of students at University and parameters of empathy has been discovered by empirical way. This connection has been examined on analytical, structural and functional levels by using both methods of qualitative and statistical analysis, based on system approach to the research. It was used such methods of interrogation as `Assessment of the level of empathic abilities` by V. V. Boyko; `The methodology of diagnosis of socio-psychological adaptation` by C. Rogers and R. Diamond; `Adaptation of students to University` by M. S. Yurkina. The selection including 233 people was divided into levels by degree of manifestation of expectation for internal control for consideration of features. It includes low level (external control), medium level (optimum) and high one (internal control). It was determined that internal locus of control has an impact on increase of adaptation to University life. It was figured out that there is a manifestation of self-control in individuals who get predominance of conative parameters of empathy. Increase of adaptation is able to be achieved by using combination of the system elements such as an augmentation of facilitate empathic impacts, decrease of inhibitory ones and transformation of neutral effects of empathy on socio-psychological adaptation. Attention was also paid to the research of the structural complex both in general and in its individual manifestations. The structural analysis let to reveal basic and system-forming features of examined connection. Thus, conditions for the average manifestation of expectation of internal control have been found and it was determined that this phenomenon takes on base significance because its middle values promote for integration of system ingredients and increase of system system ability to adaptation process. In such a way it has been proved that harmonization of personality structure is possible being achieved due the increase of self-control and correction of empathic means as a mechanism of responsiveness.
Ekstraksi Karakter Citra Menggunakan Optical Character Recognition Untuk Pencetakan Nomor Kendaraan Pada Struk Parkir

Security in public parking facilities can be increased by adding the vehicle plate number to the parking receipt. This aims to prevent misidentification when the vehicle exits the parking facility due to negligence of the vehicle owner or the purpose of an irresponsible party. The license plate number can be printed on the parking receipt by extracting the characters from the vehicle image which is generally acquired at the parking entrance portal. The character extraction process can be done using the Optical Character Recognition method using the Tesseract library. Tesseract is the most accurate Optical Character Recognition library in its recognition, so that the extraction process can produce vehicle license plate text with minimal errors.
СТАЖЕРСТВО КАК ФАКТОР РАЗВИТИЯ СОЦИАЛЬНОГО ПОТЕНЦИАЛА КОМПАНИИ

The article examines the role of internship in the development of the social potential of the company. One of the factors of this development is a two-level system for improving the professional qualities of trainees, each component of which has its specific characteristics. The authors give conceptual definitions and analyze the features of such forms of training young personnel as internship and mentoring. While there are certain common features, these phenomena still have significant differences in moral, administrative, temporal and legal aspects. We used the method of sociological diagnostics to analyze the effectiveness of organizing internships in one of the largest companies in the pharmaceutical market. In the course of the study, we made a grouping, and a hierarchy of varieties of knowledge and skills was built based on the respondents’ self-esteem. The result of the work was the identification of the factors of the weak development of the internship phenomenon in modern Russia with a sufficiently large potential.
A Series of Investigations Inside of Primary Containment Vessel of Fukushima Daiichi Nuclear Power Station Unit2

Abstract In January 2012, Toshiba Energy Systems &amp; Solutions Corporation inserted a camera into the damaged Primary Containment Vessel (PCV) of Fukushima Daiichi Nuclear Power Station unit 2 for the first time since the Great East Japan Earthquake. Since then, we, as a member of International Research Institute for Nuclear Decommissioning (IRID), has developed several devices and has investigated inside of PCV. The investigation devices for unit 2 are roughly categorized into three types. For the investigations in early stages, just a camera and sensors with simple support tools were inserted through a small hole. Then small crawler type robots were developed to expand the investigation area to inside of Pedestal which exists the central part of PCV. Since the devices found that there were not enough areas to run around by the robots in the Pedestal, a long telescopic guiding pipe device was chosen to deliver cameras, sensors, and tools into the Pedestal. This type of device took movie of wide area of inside of the Pedestal. An image processing software was also developed to get a high quality and extensive picture from the movie taken by a low resolution camera and insufficient lighting. In February 2019, the other telescopic guiding pipe device finally delivered a camera and fingers like tong to grab deposits fallen on the bottom of pedestal for the first time after the earthquake, and found that some of deposits can be lift up. Some of projects were implemented as subsidized projects of “Decommissioning and Contaminated Water Management” founded by the Ministry of Economy, Trade and Industry.
Analisis Performa Network Cloud Dengan Metode Quality Of Services Pada Penyedia Teknologi Layanan Cloud Computing Microsoft Azure Dan Amazon Web Services

Abstrak Beberapa tahun terakhir ini merupakan era layanan cloud dan mulai terlihat adanya pergeseran penggunaan layanan ke cloud. Penerapan cloud sendiri didasarkan pada penerapan teknik virtualisasi sehingga client tidak lagi menjadi sumber komputasi, melainkan dikerjakan pada suatu server yang berada pada jaringan internet (cloud). Teknologi cloud membutuhkan akses internet yang cepat dan dukungan transmisi data yang cepat pula. Hal ini menjadi tantangan baru yang diangkat oleh layanan cloud yaitu manajemen Quality of Service (QoS), yang harus menjamin bahwa setiap pengguna mendapatkan layanan aplikasi atau layanan cloud computing yang selalu tersedia dan sesuai dengan kebutuhan dari pelanggan. Tulisan ini akan berfokus pada pengujian performa network antara dua penyedia layanan cloud besar di dunia, yaitu Microsoft Azure dan Amazon Web Services. Metode yang digunakan dalam perbandingan tingkat performa adalah Quality of Services dengan parameter yang diuji adalah jitter, data loss, latency, dan throughput. Hasil yang didapat dari penelitian ini adalah perbandingan performa network dari masing-masing penyedia layanan cloud berdasarkan pengujian yang telah dilakukan sehingga dapat membantu pengguna yang akan memilih layanan cloud. Kata Kunci : Quality of Service, cloud computing. Abstract The last few years have been the era of cloud services and are starting to appear shift in service usage to the cloud. The cloud application itself is based on the application of virtualization techniques so that the client is no longer a source of computing, but is done on a server that is on an internet network (cloud). Cloud technology requires fast internet access and support for fast data transmission. This is a new challenge raised by cloud services namely Quality of Service (QoS) management, which must guarantee that each users get application services or cloud computing services that are always on available and according to the needs of customers. This paper will focus on testing network performance between two major cloud service providers in the world, namely Microsoft Azure and Amazon Web Services. The method used in the comparison of performance levels is Quality of Services with the parameters tested are jitter, data loss, latency, and throughput. The results obtained from this study are the comparison of the network performance of each cloud service provider based on the testing that has been done so that it can help users who will choose cloud services. Keyword : Quality of Service, cloud computing.
DNA DB Operation and Privacy Concerns

DNA가 범죄수사에 활용되기 시작된 이래, DNA DB를 통해 많은 미제사건을해결하고 있고, 보다 많은 사건을 해결하기 위해 DNA DB의 분석마커를 확장하고자 하는 논의가 있다. 외국의 경우 범죄유형, 가족 검색 등 DNA DB의 확대 운영을 통해 많은 사건을 해결하고 있다. 우리나라는 DNA DB제도 도입 초기부터 프라이버시 침해 우려와 DNA 범죄수사의 효용성 주장의 충돌이 첨예하였다. 이에 이 연구는 향후 논의 가능성이 있는 확장된 DNA DB 운영방안에 대해소개하고, 그에 대한 일반국민의 인식을 확인해보았다. 특히, DNA DB의 수록범위 확장에 따른 개인 DNA정보(DNA신원확인정보) 침해와 관련한 우려 수준도 함께 확인해보았다. 여기에는 개인정보보호 관련 연구에서 활발하게 사용되고 있는 프라이버시 염려(수집, 오류, 허가되지 않은 2차 사용, 부적절한 접근) 개념을 활용하였다. 또, 시민의 프라이버시 염려가 DNA DB 확대 운영 인식에어떠한 영향을 미치는지를 알아보았다. 연구 결과, 프라이버시 염려의 하위개념인 수집, 오류, 허가되지 않은 2차사용이 DNA DB 운영에 통계적으로 유의미한 영향을 미치는 것으로 확인되었다. 즉, 수집과 허가되지 않은 2차 사용 염려는 DNA DB의 확대 운영에 부(-) 적 영향이 있었고, 오류 염려는 DNA DB의 확대 운영에 정(+)적 영향이 나타났다. 여기서 오류와 관련한 결과는 프라이버시 역설로 설명된다. 이러한 결과를 바탕으로 이 연구에서는 DNA DB 운영의 사회안전 기능은 물론 개인의 프라이버시 보호를 위한 각종 제도적 장치에 대한 충분한 홍보 강화를 제안하였다.Since DNA began to be used in criminal investigations, many cold cases have been resolved through DNA DB. There is a discussion to expand the DNA marker or DNA DB in order to solve more cases. In foreign countries, many crimes are solved by expanding the DNA DB such as crime type and family search. In Korea, from the beginning of the DNA DB system, the conflict between privacy concerns and the claims on the effectiveness of DNA criminal investigations has been sharp. Therefore, this study introduced an expanded DNA DB operation plan that could be discussed in the future, and confirmed the public s perception of it. In particular, we also checked the level of concern for personal DNA privacy due to the expansion of the coverage of the DNA DB. Here, the concept of privacy concerns (collection, error, unauthorized secondary use, inappropriate access), which is actively used in research related to personal information protection, was utilized. In addition, it examined how citizens privacy concerns have an impact on the perception of expanding DNA DB operations. As a result of the study, it was found that the sub-concepts of privacy concerns, such as ‘collection’, ‘error’, and ‘unauthorized secondary use’, had a statistically significant effect on the operation of the DNA DB. In other words, concerns about ‘collection’ and ‘unauthorized secondary use’ had a negative (-) effect on the expansion operation of the DNA DB, and fear of ‘errors’ had a positive (+) effect on it. Here, the consequences of ‘error’ are explained by the privacy paradox. Based on these results, it was suggested that sufficient publicity reinforcement for not only the social safety function of the DNA DB operation but also various systems for personal privacy protection.
International Workshop on Cyber Range Technologies and Applications (CACOE 2020)

The proceedings of the 2nd International Workshop on Cyber Range Technologies and Applications (CACOE 2020), held on September 7, 2020, contain seven papers and cover a variety of topics. For example, the papers present ideas on how to use cyber ranges for learning during exercises and how to design events in cyber ranges in order to test the vulnerability of computer networks. The proceedings also provide concrete examples of how cyber ranges can be used to further incident handling processes of organizations, test technical defense systems, and develop automated vulnerability testing tools. In addition, the proceedings describe tools that manage cyber security exercises in cyber ranges and specify general requirements on cyber ranges for training purposes.
Digital transformation and higher education: A survey on the digital competencies ​of learners to develop higher education teaching

The aim of this paper is to clarify the effects of digital transformation on educational institutions and to outline the challenges that arise and need to be addressed in this context.Teaching and learning processes should be continuously developed due to changes in educational requirements as well as social and technological changes.Therefore, within this paper, these technological changes are described in the first step.In the next step, the challenges facing higher education institutions, as a result of digital transformation are discussed, and strategies for the further development of higher education, regarding digital transformation, are described.In this context, a research study that focuses on the selfassessment of the digital competencies of students is outlined and the results are presented.The first results emphasize the need for further development in technology-supported teaching and learning processes at higher education institutions.The implementation of technology-supported teaching and learning settings and the rethinking of present teaching content is seen as both a challenge and an opportunity for preparing students -as well as lecturers -for digital transformation.With regard to the current COVID-19 situation, this is a challenge that must be met sooner rather than later.
Self-Embedding Watermarking Algorithm Under High Tampering Rates

A self-embedding watermarking algorithm based on a reference sharing mechanism that has recovery ability under high tampering rates is proposed in this paper. In existing methods, the image recovery ability is often limited under an increasing tampering rate. The proposed method overcomes this limitation by seeking an approximate solution for each character-bit group tampered with. Moreover, the priority assignment of such groups can enhance the accuracy of tampering recovery. Based on this, by using the method proposed in this paper, recovered images always maintain excellent visual quality even at relatively high tampering rates. The experimental results demonstrate the efficacy of the proposed method.
MENINGKATKAN HASIL BELAJAR MATEMATIKA SISWA MENGGUNAKAN PENDEKATKAN PEMBELAJARAN SAINTIFIK DI MTS RABITATUS SA’ADAH TAHUN PELAJARAN 2019/2020

Abstract: The learning process of teachers tends to use conventional models during the learning process takes place, students are only focused on listening to the delivery of lessons given by the teacher, whereas between one student and other students there is no visible communication relationship, because when learning activities take place students only listen to the teacher's explanation and note material presented by the teacher. This results in the low student learning outcomes. The purpose of this study is to improve the process and student learning outcomes of mathematics through a scientific approach to the circle material in class VIII students of MTs Rabitatus Sa’adah. This type of research used in this research is classroom action research which consists of two cycles, each cycle consisting of 4 stages including, 1) planning, 2) implementation, 3) observation, 4) reflection. This research instrument uses student and teacher observation sheets and question sheets. The results showed that in cycle 1 the classical completeness of students reached 65%. Then in the second cycle the classical completeness of students reaches 85%. Based on the results of data analysis and discussion, it can be concluded that through scientific learning can improve the activities and learning outcomes of students of class VIII MTs Rabitatus Saadah 2018/2019 academic year.
Underwater Image Enhancement Method Combining color and Luminance

Background:: Aiming at the problems of color distortion, low clarity and poor visibility of underwater image caused by complex underwater environment, a wavelet fusion method UIPWF for underwater image enhancement is proposed. Methods:: First of all, an improved NCB color balance method is designed to identify and cut the abnormal pixels, and balance the color of R, G and B channels by affine transformation. Then, the color correction map is converted to CIELab color space, and the L component is equalized with contrast limited adaptive histogram to obtain the brightness enhancement map. Finally, different fusion rules are designed for low-frequency and high-frequency components, the pixel level wavelet fusion of color balance image and brightness enhancement image is realized to improve the edge detail contrast on the basis of protecting the underwater image contour. Results:: The experiments demonstrate that compared with the existing underwater image processing methods, UIPWF is highly effective in the underwater image enhancement task, improves the objective indicators greatly, and produces visually pleasing enhancement images with clear edges and reasonable color information. Conclusion:: The UIPWF method can effectively mitigate the color distortion, improve the clarity and contrast, which is applicable for underwater image enhancement in different environments.
A Data-Driven Method for Measuring the Negative Impact of Sentiment Towards China in the Context of COVID-19

Social media is a valuable source of information that allows to study people opinions of many events that happen every day. Nowadays social networks are one of the most important communication methods that people use. Feelings towards nations can be measured today thanks to the advances in machine learning and big data. In this paper we present a method to identify if there are negative sentiments towards China as a result of the COVID-19 virus. The method is based on sentiment analysis and extracts information from the Twitter social network. This analysis was done with the VADER library, a rule-based tool that provides classification algorithms. A dataset of 30,000 tweets was built for three time windows: December 2019 (before the pandemic), March 2020 (month in which the pandemic was confirmed by the World Health Organization), and May 2020 (when some countries started the de-escalation phase). Results show that sentiments became negative towards China and social network data allows to confirm this situation.