Reviewerly/exHarmony huggingface dataset:
Analisis Perilaku Informasi Mahasiswa Universitas Lampung: Suatu Kajian pada Proses Penelusuran Koleksi Karya Ilmiah dan Koleksi Sirkulasi

Information and communication technology in its development has an effect on human life covering social, economic, cultural aspects, including libraries.Libraries are required to provide up to date information and in diverse forms. There are differences in information behavior of University Students of Lampung on searching collections of scientific paper and circulation collections. The aims of this research are to find out the information behavior of students of Lampung University in the process of tracing collections of scientific works and circulation collections, and mention the similarities and regulations of information behavior in the search of collections of scientific works and searches of circulation collections. This research methode uses qualitative descriptive with data collection techniques through observation, documentation data and literature study. The results obtained are : information behavior University Student of Lampung on searching collections of scientific papers are: most students of Lampung University on searching collection of scientific papers using a laptop to access on the link: digilib.unila.ac.id., log in, search the faculty, study programs, published years and titles of scientific paper, do the citation, and save cited to file work. Information behavior University Students of Lampung on searching circulation collections are: most University Student of Lampung on searching circulation collections using the computer library provided, access on the link: opac.unila.ac.id (online catalog), write down the name of the author or the title of book, record the call number of the circulation collections of interest, to the circulation collection shelves, take circulation collections to read or borrow to take home. But there are also similarities in the behavior of information in the process of disseminating the collection of scientific works and tracing the circulation collection, namely both the search process is done online and search for information by writing the title of the work both books and scientific works.Keywords: information behavior, University Student of Lampung, scientific paper collections, circulation collections, University Library of Lampung
JUSTIN sings: adding a musical-style narration generator to an APGWAP that collects ukiyo-e artworks descriptions

This study improves JUSTIN (Japanese Ukiyo-e Streaming That Improves Narrative), an audience participation game with a purpose (APGWAP) designed for promoting ukiyo-e artworks and collecting descriptions about them from a group of people over a game live streaming platform, by adding a musical-style TTS that narrates the best description made by the player for each image in each round. It is expected that narrating the best descriptions for each image will make the winner feel more rewarded and encouraged to make better descriptions in the upcoming rounds. The narration is provided to players in a musical fashion considering evidences that music has several therapeutic benefits, including stress relief and mental health promotion.
Conclusion

We are now in our fifth year of our API Marketplace implementation. It is remarkable that the pace and energy of the platform is more vibrant and stronger today than it has ever been. I honestly believe that the platform is now a living, breathing, almost self-sustaining entity. As I glance at my to-do list, there are still several areas that I have identified for optimization. One of the factors which this could be attributed to is technology options that were previously not available. We are on a constant quest to streamline performance and execution – possibly a perpetual one as new avenues and approaches appear with each iteration of the platform. Another significant factor is that backend product teams are now extremely keen to publish their service for external consumption, and we have a growing list of APIs scheduled for delivery.
Collision-Free Path Planning Applied Robotic Arms Using Homotopy Continuation Methods for Embedded Systems

Robotic arms are used in multiple disciplines, in structured and unstructured workspaces, solving a diversity of problems, which has allowed its incorporation in collaborative activities with human beings To solve these types of scenarios, it is necessary to have an efficient path planning method that obtains a collision-free path that is easy to apply and that the necessary resources to implement it are the minimum. For this reason, this paper presents a new proposal that guarantees the obtaining of path, it is capable of working in narrow corridors, it does not need path smoothing, it is deterministic (it is based on homotopy continuation methods). In addition, the memory and computation time required to obtain the path is in the order of milliseconds and KB, allowing it to be implemented in embedded systems and this paper will show it.
Application research of computer database technology in information management

Aiming at the lack of dynamic interaction in the application of computer database technology in information management, this paper completes the data processing and calculation of information controlled by remote intelligent technology. Based on computer database technology, information management forms a series of system models and personalized processing patterns. Database technology studies and solves the problem of the effective organization and storage of a large amount of data in the process of computer information processing, reduces the redundancy of data storage in the database system, realizes data sharing, guarantees data security and efficiently retrieves data and processes data. And computer database is also divided into distributed database, parallel database, engineering database, deductive database, knowledge base, fuzzy database and so on. Database technology is an important part of modern information science and technology, and also the core of computer data processing and information management system
SGAT: Semantic Graph Attention for 3D human pose estimation

We propose a novel gating mechanism applied to Semantic Graph Convolutions for 3D applications, named Semantic Graph Attention. Semantic Graph Convolutions learn to capture semantic information such as local and global node relationships, not explicitly represented in graphs. We improve their performance by proposing an attention block to explore channel-wise inter-dependencies. The proposed method performs the unprojection of the 2D points (image) onto their 3D version. We use it to estimate 3d human pose from 2D images. Both 2D and 3D human poses can be represented as structured graphs, exploring their particularities in this context. The attention layer improves the accuracy of skeleton estimation using 58% fewer parameters than state-of-the-art.
Image compression technology based on picture complexity and blocked graded wavelet transform

In order to make a trade-off between the ratio of compressed images and the sparsity of high-frequency coefficients, and optimize the wavelet transform image compression method, this paper proposes a blocked graded wavelet image compression method based on image complexity detection. Based on the image characteristics, the block complexity detection is defined. The row and column complexity map of the compressed image is calculated by color difference, and the decision of wavelet classification is made according to the content of the block. Through the system test, the blocked graded wavelet image compression has made a good choice among compression ratio, compressed image quality and wavelet high frequency coefficient sparsity.
Information and Communication Technologies and the Organization of Distance Learning in a Modern University (based on Materials from the Kabardino-Balkarian University)

The main task of the study is to analyze the role and the level of the load that falls on the electronic information and educational environment of the university in conditions of distance learning format; to analyze the perception of KBGU students of distance learning format; to present an assessment of individual factors of the educational process implementation and used standard and additional communication technologies. In the course of the study methods of comparative, structural and system analysis, a survey of students of higher and secondary vocational education programs and teachers of KBGU were used. The study revealed new opportunities for academic cooperation; identified problems arising in the process of transition to a distance learning format, reserves and opportunities for further improvement of the learning process using information and communication technologies.
Voice of the Customer: Feedback Strategies for Libraries and Vendors

Reliable customer feedback data is vital to all service organizations, including libraries and subscription vendors. Quality should be defined by the customer, not by the service organization’s specifications. A subscription vendor and a library administrator provide an overview of various methods for capturing useful, and usable, information with discussions of quality service dimensions and issues, strategies to foster effective customer feedback, and methods to develop better communication between libraries and their vendors. [Article copies available for a fee from The Haworth Document Delivery Service: 1-800-342-9678. E-mail address: getinfo@haworth.com]
Low-Light Image Enhancement with Artificial Bee Colony Method

Images taken in low-light environments tend to show incomplete detail because most of the information is masked in low-visibility areas, which is the major part that deteriorates the image quality. Improving the clarity of the image to reveal the complete detail in the image remains a challenging task for researchers. Moreover, a good quality image is essential for image processing tasks in various fields such as medical imaging, remote sensing, and computer vision applications. To improve the visual quality of low-light images, an effective image enhancement technique based on optimizing gamma correction by using the artificial bee colony algorithm is proposed in this work. Quality evaluation methods for enhanced images obtained from the proposed technique are detailed, and comparisons of the proposed technique with other recent techniques are presented. Experiments show that the effectiveness of the proposed technique can be serving as an alternative method for low light image enhancement.
Reducing the Risk of Flood Disasters in Lamongan Regency Using the Geographic Information System (GIS)

Flood disasters cause negative impacts, such as damage to facilities to the onset of fatalities. Reducing the risk of flooding needs to be done to reduce the impact caused by this disaster. Lamongan Regency is one of the regencies in East Java affected by floods every year in most of its areas. This study aims to reduce the risk caused by flooding by using GIS (Geographic Information System). Mitigation is done by determining areas with a high potential risk of being affected by flooding. The study used spatial analysis functions in ArcGIS. Supporting variables used rainfall, land cover, slope, soil texture, and watershed area, and it becomes important in determining flood-prone areas. From the results, the largest soil classification is the Kpl soil type. Litosol Gray Grumosol, The wide distribution of rainfall from 1500-1750 mm has the widest distribution is 66,67 ha. The slope of 0-8% has the widest distribution of 92,257 ha, making Lamongan a very vulnerable high flood area. Laren District is the District with the greatest flood potential, and Irrigated Field is the dominant land cover type affected by the flood. With the flood disaster map generated from this research, local governments can seek prevention in areas with high flood potential. They can carry out socialization based on disaster mitigation, especially for districts with potential flooding.
Object Tracking Algorithm Based on Channel-interconnection-spatial Attention Mechanism and Siamese Region Proposal Network

The target tracking algorithm based on the Siamese network has become one of the most mainstream and best tracking algorithms because of the balance of accuracy and speed. However, target tracking algorithms based on the Siamese network are affected by factors such as occlusion, illumination changes, motion changes, size changes and other factors in natural scenes, making designing a robust tracking algorithm a challenging task. In order to improve the feature extraction and discrimination capabilities of the algorithm in complex scenes, a tracking algorithm combining channel-interconnection-spatial attention mechanism was proposed. First a Siamese tracking framework with a deep convolutional network ResNet-50 as the backbone network was built to enhance feature extraction capabilities, then the channel-interconnection-spatial attention module was integrated to enhance the adaptability and discrimination capabilities of the model, then the multi-layer response maps were weighted and fused to make results more accurate, and finally the largescale datasets were used to train the network, and tracking tests on the benchmark OTB-2015 and VOT2016 and VOT2018 were completed. The experimental results show that the proposed algorithm is more robust and better adapt to complex scenes such as target appearance changes, similar distractors, and occlusion than the current mainstream.
Implementasi Sistem Evaluasi Formatif Berbasis Game "Kahoot dan Quizizz" untuk Meningkatkan Motivasi Belajar Mahasiswa di Masa Pandemi (Studi pada Mata Kuliah Ekonomi Islam)

This study aims to implement an innovative and fun learning strategy, namely a formative evaluation based on the game "Kahoot and Quizizz" to increase student learning motivation during the Covid-19 pandemic period. The study was conducted for Islamic Economics courses at Sekolah Tinggi Ilmu Ekonomi Lhokseumawe. Mixed-method research was employed in collecting data on students during the teaching-learning process for one semester. Quantitative data were obtained and analyzed from students' tests or formative evaluations and through questionnaires. Meanwhile, the qualitative data were obtained from personal in-depth interviews with several students from the experimental class. The results of this study indicate that the employment of the Kahoot and Quizizz game platforms has a positive impact on student achievement and motivation. This can be recognized from the results of the formative assessment data analysis and the responses from the questionnaire. The qualitative data also confers a positive value from the use of the Kahoot and Quizizz game applications. Four positive values emerged from the results of interviews with students regarding the application of these two applications, namely: fun, nothing boring, innovative assessment methods, and active classes.
Noise Management in Homomorphic Encryption Scheme: Analyzing of Algorithm

Homomorphic encryption is the Swiss army of cryptography. It allows to perform computations on encrypted data. this conjecture of processing on encrypted data was stated by [RAD78]. Until Gentry breakthrough in 2009, only partial solutions were offered. They deal with encrypted data with bounded functions in operations.Gentry raised the bound of number of operations by introducing a new method called the bootstrapping. This method allows to reduce the noise in the ciphertext and to perform more computing on it. Since Gentry's breakthrough, several improvements and several alternatives to the bootstrapping technique have been proposed to improve execution time and reduce resource consumption. This article studies the growth of noise and the noise management strategy in homomorphic encryption. It also presents the trend of hoping strategy from 2009 to 2016. Through the DGHV, it shows the management of noise on a one-bit encrypted message.
Capstone Keynote: Daniel Weiskopf

The ninth IEEE Working Conference on Software Visualization (VISSOFT 2021) builds upon the success of the previous eight editions of VISSOFT, which in turn followed after six editions of the IEEE International Workshop on Visualizing Software for Understanding and Analysis (VISSOFT) and five editions of the ACM Sympo0sium on Software Visualization (SOFTVIS). In 2021, VISSOFT will take place and be co-located with ICSME.
McCulloch, Gretchen, Because Internet: Understanding the New Rules of Language

Reseña
Alliance Formed to Set Standards for Data Science

Abstract “Our objective is to assure the public's trust”, says group
On Location Privacy Protection Algorithm Based on Edge Computing and Caching

Abstract To resolve the communication overhead problem of anonymous users, we propose a location privacy protection method based on the cache technology. In particular, we first place the cache center on edge server nodes to reduce interaction between servers and users. In this way, the risk of privacy leaks can be reduced. Furthermore, to improve the caching hit rate, a prediction system based on Markov chain is designed to protect the trajectory privacy of mobile users. Simulations show that the algorithm can protect the privacy of users and reduce the transmission delay.
Quantum Cryptography

A summary is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
Unspecified Category Image Foreground Subject Segmentation Based on U2-Net And Transfer Learning

Aiming at the problems of the existing image segmentation methods in the image foreground subject segmentation, such as unclear subject definition, inaccurate edge segmentation, application to specific scenes and poor generalization ability, this paper proposes a image segmentation method based on transfer learning and U2-Net. First of all, in response to the above problems, in the downsampling and upsampling process of U2-Net, an effective channel attention mechanism is introduced to increase the feature weight of the effective area without increasing the network parameters. And migrate the VGG series network pre-trained on ImageNet to the U2-Net network to realize feature migration and parameter sharing, improve the generalization ability of the model, reduce the dependence of the training effect on the data set, and reduce the training cost. The FocalLoss function is introduced in the training process, which increases the difficulty Mining the weight of the sample to increase the degree of attention to the difficulty to the difficult sample. Finally, the segmentation result is obtained through the decoding network. Tested on data sets such as ILSVRC2012, ILSVRC2013, SUN dataset, etc., compared with the original algorithm, the performance indicators have been significantly improved.
Degree of awareness of teachers of chemistry and physics for the preparatory stage of the requirements of sustainable education

The objective of the current research is to identify the degree of awareness of the teachers of physics and chemistry for the preparatory stage with the requirements of sustainable development. The sample consisted of (49) including (29 ) teachers and ( 20) randomly selected schools and (97) teachers and schools of physics, including (64) teachers (33) schools The researchers also committed themselves to preparing a tool for their research consisting of two cognitive and practical aspects, five axes for each side and (71) sub-paragraphs representing a triangular scale in the form of paragraphs to be answered by teachers and teachers with options that represent the degree Practice, and who has experience (6) years The results showed that the degree of awareness of the teachers and teachers of physics and chemistry was moderately aware of both the cognitive aspect and the practical aspect of sustainable education and with a mean (2.01) And (1,99) respectively, while the awareness of the sub-axes of the knowledge and applied sides between the low and medium, except the axis of visions and concept of sustainable education of the cognitive side was high awareness and the research presented a set of recommendations and proposals.
SIGNIFICANCE OF IDA , PINGLA AND SUSUMNA ACCORDING TO SAINTS

Yog is very important and played vital role in ancient India. Yog is full of mystery and curiosity. Our ancient Sages and Munis wrote so many books and literatures (shastras and granthas) on this subject. Yog is the supreme science and very beneficial to mankind. To reach the highest peak of Yog; three Nadi (flow veins) are very important which are IDA, PINGLA and SUSUMNA; whose importance can be seen in each and every Yog shastra. According to Yog without help or dependence of these three Nadi no one can get liberation or release from cycle of birth and death (MOKSHA). We can see the importance of these three Nadis in Yog’s explanation in various Shastras.
Enhancing Cloud Availability via Intelligent Monitoring using Time Series Database and Machine Learning

Every cloud provider, wishes to provide 99.9999% availabil- ity for the systems provisioned and operated by them for the customer i.e. may it be SaaS or PaaS or IaaS model, the availability of the system must be greater than 99.9999%.It becomes vital for the provider to mon- itor the systems and take proactive measures to reduce the downtime.In an ideal scenario, the support colleagues (24*7 technical support) must be aware of the on-going issues in the production systems before it is raised as an incident by the customer. But currently, there is no effective alert monitoring solutions for the same. The proposed solution presented in this paper is to have a central alert monitoring tool for all cloud so- lutions offered by the cloud provider. The central alert monitoring tool constantly observes the time series database which contains metric val- ues populated by HA and compares the incoming metric values with the defined thresholds. When a metric value exceeds the defined threshold, using machine learning techniques the monitoring tool decides &amp; takes actions.
The maximal coin-walker entanglement in quantum walks with ballistic transports

We experimentally show the first realization of the maximal entanglement under a ballistic quantum transport. An inhomogeneous ordered quantum walk is introduced to generate the maximal entanglement meanwhile maintaining the quadratic speedup, wherein the coin operations keep unchanged with time evolution but are varied according to positions in a deterministic way. Using a reconfigurable time-bin encoded optical network, we implement a 11-step ballistic quantum walk and obtain a maximal entanglement in which the von Neumann entropy of the coin state is close to 1. The construction of the maximal entanglement and the speedup of spreading signify a quadratic acceleration in producing entanglement with fast expansion of the Hilbert space, thus may stimulate the engineering of entanglement and the design of quantum algorithms.
Design and Research of Distributed Data Acquisition System for Small Waste Incineration Power Plant

Aiming at the characteristics of small waste incineration power plants, a distributed data acquisition system based on SOA (Service-Oriented Architecture) is proposed, which decomposes various business function units in the form of services, so that different business function units of the system are loosely coupled and easy to expand. Adopting a protocol analysis method based on the event inquiry response mechanism, the data acquisition subsystem is developed to realize the data acquisition and transmission based on the Modbus communication protocol. The system data service, human-computer interaction subsystem and database are developed to realize the data visualization, completed the design and development of the entire system.