Reviewerly/exHarmony huggingface dataset:
REKONTRUKSI MODEL 3D DARI BANYAK GAMBAR MENGGUNAKAN ALGORITMA STRUCTURE FROM MOTION (SFM) DAN MULTI VIEW STEREO (MVS) BERBASIS COMPUTER VISION

With the development of the field of Information and Computer Technology (ICT), three-dimensional technology (3D) is also growing rapidly. Currently, the need to visualize 3D objects is widely used in animation and graphics applications, architecture, education, cultural recognition and virtual reality. 3D modeling of historical buildings has become a concern in recent years. 3D reconstruction is a documentation effort for reconstruction or restoration if the building is destroyed. By using a 3D model reconstruction approach based on multiple images using the Structure From Motion (SFM) and Multi View Stereo (MVS) algorithm, it is hoped that the 3D modeling results can be used as an effort to preserve 3D objects in the cultural heritage area of Penataran Temple. This research was conducted by taking an object in the form of photos as many as 61 pictures in the area of ​​the Blitar Penataran Temple. The resulting photos are reconstructed into a 3D model using the Structure From Motion algorithm in the meshroom. In this study, a test was carried out on the original image with the compressed image for reconstruction to be compared to the 3D reconstruction process from the two input data. From 61 images processed using the Structure Form Motion algorithm, 33 camera pose and 3D point data were obtained, both original and compressed images. For the number of iterations the compressed image is 1.4% less than the original image and takes 43.53% faster than the original image.
Automatic Detection of Violent Incidents from Video Footage of CCTV Cameras

In the current era, the majority of public places such as supermarket, public garden, malls, university campus, etc. are under video surveillance. There is a need to provide essential security and monitor unusual anomaly activities at such places. The major drawback in the traditional approach, that there is a need to perform manual operation for 24 ? 7 and also there are possibilities of human errors. This paper focuses on anomaly detection and activity recognition of humans in the videos. Computer vision has evolved in the last decade as a key technology for numerous applications replacing human supervision. We present an e?cient method for detecting anomalies in videos. Recent applications of convolutional neural networks have shown promises of convolutional layers for object detection and recognition, especially in images. Experimental results on challenging datasets show the superiority of the proposed method compared to the state of the art in both frame-level and pixel-level in anomaly detection task.
Research on the Financial Aid Work for College Students Based on Big Data under the Concept of Targeted Poverty Alleviation

Abstract Although the economy of our country has been in the stage of rapid deelopment and the living standard of the people all over the country has been greatly improved, there are still many poor families, the children of these poor families have the problem of "difficult to go to school" due to economic problems. Fortunately, our government has been very concerned about the financial assistance for poor students, the state has put forward an accurate poverty alleviation policy, the financial assistance to college students as an important part of accurate poverty alleviation. This article analyzes the problems and methods of funding for college students based on big data under the concept of targeted poverty alleviation.
Security Analysis of a Truck Hiring Application in Bangladesh

In this study, system architecture and security of a newly developed online truck hiring platform have been evaluated. The result of this study shows the extent to which the system is secured against different kinds of cyber-attacks. The research follows a three-step approach comprising analyzing a truck hiring application, running some tests on the platform in order to find security flaws and suggesting necessary changes for better security. The chosen platform provides connectivity between shippers and carriers of goods in Bangladesh. We have run several security tests on the application and categorized the problems found. Addressing the security flaws and fixing those will help improve overall user experience along with system security.
Korelasi Antara Kualitas Sistem Informasi Terhadap Efisiensi Pemanfaatan Sistem Informasi Media Informasi Lowongan Kerja Pada PT. Sentra Karya Sentosa Purwokerto

In this day and age, technology is needed by companies around the world, including in Indonesia. One of the technologies needed and has been widely used is the Internet. Internet has an important role for companies to support their work. Work can be completed faster without being hindered by space and time. At PT. Sentra Karya Sentosa Purwokerto, the work application process used is still manual and the promotional media used is still simple. Therefore the authors conclude the problems in the field of job application and the media for job promotion. With this, it is hoped that it can help make it easier for job applicants to find job vacancy information and make it easier for job providers to promote job vacancies.Information Systems Media Information Job Vacancies For Job Applicants At PT. Sentra Karya Sentosa Purwokerto based on the website has been tested with a correlation test. The correlation value of the quality of information systems on efficiency is Sig. 0.002 <0.05 indicates that there is a significant relationship. From the results of these tests, it is concluded that the Information Media Information System for Job Vacancies for Job Applicants at PT. Sentra Karya Sentosa Purwokerto has a significant effect on the efficiency of job applications.
Research on the Problems and Countermeasures of Network Distance Teaching for College Students

With the arrival of the information age and the rapid development of network information technology, certain changes have taken place in the way of education. Network Distance Teaching brings opportunities for the development of college students' education. In particular, it can narrow learning space, lift geographical restrictions, improve the educational personnel training quality, and it is of constructive significance to promote the all-round development of students. Meanwhile, the development of Network Distance Teaching brings some challenges to college student education. In terms of the problems existing in the Network Distance Teaching of college student education, this paper puts forward that the Network Distance Teaching system of college students should be student-centered. The achievement of studying requirements of online learning is as same as the classroom learning; Compliance with teaching management and classroom discipline; The stimulation of learning potential and improvement of self-management; The measures to combine balanced and healthy work and rest.
Person Re-identification with Global-Local Background_bias Net

Person Re-identification (Re-ID) is an important technique in intelligent video surveillance. Because of the variations on camera viewpoints and body poses, there are some problems such as body misalignment, the diverse background clutters and partial bodies occlusion, etc. To address these problems, we propose the Global-Local Background_bias Net (GLBN), a novel network architecture that consists of Foreground Partial Segmentation Net (FPSN), Global Aligned Supervision Net (GASN) and Background_bias Constraint Net (BCN) modules. Firstly, to enhance the adaptability of foreground features and reduce the interference of the background, FPSN is applied to perform local segmentation on the foreground image. Secondly, global features generated by GASN are purposed to supervise the learning of local features. Finally, BCN constrains the background information to reduce the impact of background information again. Extensive experiments implemented on the mainstream evaluation datasets including Market1501, DukeMTMC-reID and CUHK03 indicate that our method is efficient and robust.
A GESTÃO DE MULTIMEIOS EM BIBLIOTECAS UNIVERSITÁRIAS DE INSTITUIÇÕES DE ENSINO SUPERIOR PRIVADAS EM PORTO VELHO – RO

Estudo sobre a colecao de multimeios em bibliotecas universitarias. Objetiva avaliar a forma de cuidados, conservacao e gestao dos materiais nao convencionais e/ou multimeios, contidos nas bibliotecas das Faculdades Integradas Aparicio de Carvalho (FIMCA), Faculdade de Rondonia (FARO) e Faculdade Catolica de Rondonia (FCR). Realiza pesquisa exploratoria e qualitativa para melhor compreensao da tematica. Para o levantamento de dados efetivou tres entrevistas com as respectivas bibliotecarias junto as instituicoes secionadas. Desta forma, como uma das atribuicoes, foi possivel oferecer sugestoes quanto aos aspectos que podem ser aprimorados, em comum acordo com as responsaveis pelas quatro bibliotecas objeto da pesquisa. Conclui que os multimeios sao um tipo de material informacional que deve coabitar com os materiais tradicionais, enquanto opcao agregadora e complementar no processo de educacao das clientelas dessas instituicoes. Palavras-chave : Gestao de multimeios. Materiais nao convencionais. Instituicoes de ensino. Unidades informacionais. MULTIMEDIA MANAGEMENT IN UNIVERSITY LIBRARIES OF PRIVATE HIGHER EDUCATION INSTITUTIONS IN PORTO VELHO – RO  Abstract Study of the collection of multimedia in university libraries. It aims to evaluate the form of care, conservation and management of unconventional and / or multimedia materials, contained in the libraries of Faculdades Integradas Aparicio de Carvalho (FIMCA), Faculdade de Rondonia (FARO) and Faculdade Catolica de Rondonia (FCR). Conducts exploratory and qualitative research to better understand the theme. For data collection, three interviews were conducted with the respective librarians at the sectioned institution. In this way, as one of the attributions, it was possible to offer suggestions as to the aspects that can be improved, in common agreement with those responsible for the four libraries object of the research. It concludes that multimedia is a type of informational material that must coexist with traditional materials, as an aggregating and complementary option in the education process of the clients of these institutions. Keywords : Multimedia management. Non-conventional materials. Educational institutions. Informational units.
EMODnet: FAIR and open source marine data, digital products and services

&amp;lt;p&amp;gt;Unlocking the potential of big ocean data relies on Findable, Reusable, Interoperable and Reusable (FAIR) data. This is a core principle of the European Marine Observation and Data network (EMODnet), a leading long-term marine data service provider, funded by the EU. Over 150 organizations deliver harmonized data through seven portals spanning bathymetry, geology, physics, chemistry, biology, seabed habitats and human activities, with a central portal. Recent data and data products include a high-resolution digital terrain model bathymetry product, digital&amp;amp;#160; vessel density maps, marine litter maps and products on geological features. International use cases include sustainable fisheries management and offshore wind farm development. The EMODnet Data Ingestion Service enhances data sharing and the EMODnet Associated Partnership Scheme offers benefits for industry and wider stakeholders. Increasingly, EMODnet is interacting and collaborating with other key marine data initiatives in Europe and globally. This include collaborations with Copernicus Marine Service (CMEMS), SeaDataCloud and others to develop the pilot Blue Cloud as a marine component of the European Open Science Cloud (EOSC), as well as with China, USA and international organisations such as IODE/IOC. This presentation/contribution will provide an update on EMODnet developments, with a future outlook considering main challenges and opportunities and touch upon key collaborations with other marine data initiatives in Europe and globally.&amp;lt;/p&amp;gt;
Evolution of Higher Education Institution Websites in India: A Longitudinal Study

This paper undertakes a longitudinal study to assess the evolution of Indian higher education institutions (HEIs) websites over three years. In December 2015, websites of the top 300 higher education institutions in India were analysed to understand their maturity level: informational, interactional, transactional. The same websites were revisited and analysed in June 2019. The source code of these academic websites was studied as well. A significant shift has been noticed. In three years, universities have moved from low-level interactional websites to a transactional level, viz., stakeholders can make the payment on the institutional website. Demonetisation in India in November 2016, played a vital role. 40% of higher education institutions have attached web analytic tools to their websites. Implications are indicated. The study provides academics with useful insights to better meet their user needs by effectively applying digital technologies.
Repeated-root bidimensional (μ, ν)-constacyclic codes of length 4pt.2r

Let p be an odd prime. The main concern of this article is to study all the repeated-root bidimensional (μ, ν)-constacyclic codes of length 4pt.2r over the finite field &#x1d53d;pm. Here, we provide all th...
Blockchain-based Options for Physical Settlement of Commodity Futures

On April 20, the negative price in the last trading session of the Chicago Mercantile Exchange (CME) West Texas Intermediate (WTI) oil futures shocked many traders and investors globally. It caused much potential risk exposure for commodity futures trading and impacted pricing and valuation models in many derivatives. One of the essential hidden risks of commodity futures exposed by this event is high storage and delivery cost of their physical settlement, which reduces the hedging functionality of commodity futures during high volatile market periods, such as the coronavirus (COVID-19) pandemic. This chapter proposes options to hedge the risk by the fluctuation of physical settlement cost. Since both listed and over-the-counter (OTC) options may take a long time to be issued in the market, we propose to use blockchain technology to issue physical settlement rights by tokens. The transportation and storage provider can make profits by this covered-call like options strategies. At the same time, commodity futures traders can get proper insurance for this kind of recent unexpected risk for sky-rocketing high physical delivery cost. Blockchain technologies such as smart contract and decentralized settlement system can be more flexible to offer these options rather than traditional derivatives exchanges. And the premium can be paid by the commodity itself to the transportation and storage provider to link token value closely to physical goods and reduce inflation caused by currency over-issue. The simulation and scenario analysis are done to demonstrate the risk hedge functionality of these options for the April 20 event. And we show that based on economic theory, the combined price of commodity futures and its physical settlement options should be larger than zero if the economics is to keep moving forward. © 2021 World Scientific Publishing Company.
IRIS Observational Seismology - Looking Back and Looking Ahead

Over the past third of a century the Incorporated Research Institutions for Seismology (IRIS) has facilitated observational seismology in many ways. At the beginning of IRIS in 1984, and with the support of the National Science Foundation and in partnership with the US Geological Survey, IRIS embarked on deploying the Global Seismographic Network (GSN). Key characteristics of the GSN are its use of high-performance digitizers, very broad band seismometers, strong motion accelerometers, and high frequency sensors to provide multi-decadal observations across a wide frequency band and dynamic range. The IRIS Portable Array Seismic Studies of the Continental Lithosphere (PASSCAL) program has also operated since 1984. PASSCAL’s extensive inventory of seismic equipment has been used by scientists to make observations on every part of the globe. The number and breadth of observations made with this equipment has fueled thousands of research papers and contributed to the education of hundreds, if not thousands, of students. More recently, the IRIS-operated EarthScope Transportable Array (TA) provided a breakthrough in the systematic collection of data using an array of unprecedented size. The success of the TA has ushered in a new era of “Large N” seismology, focused on dense spatial coverage of sensors to reduce aliasing and provide more complete recording of the full wavefield. The TA highlighted the power of survey mode data collection, where systematic, spatially-dense, and high-quality data fuel data-driven discovery, as opposed to deployments made to test a specific hypothesis. Key future directions in observational seismology include an increasing emphasis on wavefield measurements. Deploying instruments in large numbers requires reductions in the size, weight, and power of units, as well as a focus on dirt-to-desktop data management strategies that merge data and metadata while minimizing human intervention with the data flow from the sensor in the dirt to the scientist’s desktop. Other critical frontiers include pervasive seafloor observations to enable studies of key structures like subduction zones, more accessible satellite telemetry to enable ubiquitous sensing of the environment, and new sensing technologies such as MEMS and Distributed Acoustic Sensing.
Reading habits of College students: A study

Reading plays a significant role in the overall improvement of a student. Substantial reading is a major necessity for the purpose of education, general knowledge, and creation. This study is carried out to examine the reading habits of undergraduate students (Bachelor of Education) of Tau Devi Lal Memorial College of Education (TDMCOE) and Lakshay College of Education (LCOE) Panipat, Haryana, India. A survey for research design has been adopted to collect the primary data from the respondents. The response rate of this survey is 71.5 percent and the results are based on the responses made in the questionnaire returned by the respondents. In this study, the frequency of library visits, the purpose of reading, enjoyment of reading has been discussed.
MULTIDIMENSIONALITY OF CONSCIOUSNESS AND THE PROBLEM OF ITS CONCEPTUALIZATION

It is investigated the problem of the construction of the integral concept of the consciousness, whose multidimensionality caused multivariance and, as a result, the fragmentariness of its philosophical interpretations. In this regard recognized heuristic concepts are, developed by representatives of anthropological school. It is substantiated the productivity of the idea of natural uncertainty of man, which allows to represent consciousness as a way of self-building of man.
Secure and Privacy-Preserving Identity and Access Management in CREDENTIAL

In an increasingly interconnected world, establishing trust between end users and service providers with regards to privacy and data protection is becoming increasingly important.Consequently, CREDENTIAL, funded under the European Union's H2020 framework programme, was dedicated to the development of a cloud-based service for identity provisioning and data sharing.The system aimed at offering both high confidentiality and privacy guarantees to the data owner, and high authenticity guarantees to the receiver.This was achieved by integrating advanced cryptographic mechanisms into standardized authentication protocols.The developed solutions were tested in pilots from three critical sectors, which proved that high user convenience, strong security, and practical efficiency can be achieved at the same time through a single system.
Improving Unsupervised Sparsespeech Acoustic Models with Categorical Reparameterization

The Sparsespeech model is an unsupervised acoustic model that can generate discrete pseudo-labels for untranscribed speech. We extend the Sparsespeech model to allow for sampling over a random discrete variable, yielding pseudo-posteriorgrams. The degree of sparsity in this posteriorgram can be fully controlled after the model has been trained. We use the Gumbel-Softmax trick to approximately sample from a discrete distribution in the neural network and this allows us to train the network efficiently with standard backpropagation. The new and improved model is trained and evaluated on the Libri-Light corpus, a benchmark for ASR with limited or no supervision. The model is trained on 600h and 6000h of English read speech. We evaluate the improved model using the ABX error measure and a semi-supervised setting with 10h of transcribed speech. We observe a relative improvement of up to 31.4% on ABX error rates across speakers on the test set with the improved Sparsespeech model on 600h of speech data and further improvements when we scale the model to 6000h.
ANALISIS RISIKO PENYEBAB KEBAKARAN DI MUSEUM RANGGAWARSITA DENGAN METODE LOSS CAUSATION MODEL

The number of fire cases that hit museums, cultural heritage, and other historical buildings that are not known the main cause shows the lack of anticipating losses. Causation is a theory of the causes of accidents which contains points and instructions used to understand the cause of an accident. The purpose of this study is to analyze the risk of fire in the Ranggawarsita Museum with the Loss Causation Model method. This research is a qualitative studied by conducting in-depth interviews with three  main informant and one triangulation informant. The results of this studied was indicated that the controlling factors in fire analysis were the unavailability of specific programs or program standards regarding fire. Basic cause in fire analysis were the lack of skills of workers that used of fire extinguisher for non-security and the lack of regular training that used of fire extinguisher for security. Immediate cause in the fire analysis was related to insecurity which consists of the average ignorance of workers on the policy both the efforts made by the museum in tackling fire emergencies, then unsafe condition in the form of a lack of attention in the installation of APAR and no other facilities of actived fire protection. The incident in the fire analysis was the occurrence of an electrical short circuit which can be handled appropriately by workers so as not to cause losses. received in this fire analysis was absent. There was no fire at the Ranggawarsita Museum because the museum was able to deal with incidents quickly and precisely, but there was a small loss experienced by the museum that was damage to the museum facilities. There are weaknesses at every point in the Causation theory that leads to the cause of an accident (fire).