Reviewerly/exHarmony huggingface dataset:
Rancang Bangun Sistem Pengiriman Berkas Bermasalah Berbasis Online Di Dinas Kependudukan Dan Pencatatan Sipil Kabupaten Lombok Timur

During this time, the process of sending files between the Department of Population and Civil Registration with Technical Implementation Unit is still using a manual system, it makes the process of resolving problematic files has been slow which has an impact on public dissatisfaction to government services. This study aims to assist the local office in overcoming these problems by utilizing existing internet networks and building an online-based system for sending the problem files. This research using waterfall method to develop software systems by having an ordered software life path that starts from analysis, design, coding and testing. With an online-based system, file transfers can be done quickly and the number of problem files can be recorded automatically DOI : 10.29408/jit.v3i1.1792
THE DEVELOPMENT TECHNOLOGY RESEARCH IN FUTURE TEACHERS OF ARTISTIC AND AESTHETIC COMPETENCE BY MEANS OF DECORATIVE AND APPLIED ARTS

The purpose of the study is to experimentally test the effectiveness of the technology formation in future teachers of artistic and aesthetic competence by means of decorative and applied arts. To achieve the goal, a set of research methods was used:Theoretical:– analysis of psychological, pedagogical, methodological, and special literature, educational documentation, in order to substantiate the technology of formation of artistic and aesthetic competence by means of decorative and applied arts in future teachers;– analysis, abstraction, systematization of data, comparative analysis of dissertation works in order to substantiate the content and determine the structure of artistic and aesthetic competence of the teacher.Empirical:– questionnaire, testing, independent peer reviewing method, analysis of students’ practical results with the purpose of determining criteria, indicators and levels of artistic and aesthetic competencies development;– pedagogical experiment in order to check the effectiveness of the proposed technology of formation in the future teachers of artistic and aesthetic competence by means of decorative and applied arts.Statistical: methods of mathematical statistics for the analysis and determination of the effectiveness of the proposed technology of formation in the students of pedagogical universities of artistic and aesthetic competence by means of decorative and applied arts. According to the statistical calculations, changes in the levels of artistic and aesthetic competence due to the introduction of the artistic and aesthetic competence forming technology in students by means of arts and crafts are statistically significant, which testifies to the effectiveness of the proposed technology.
Local Feature Selection

Most common feature selection algorithms are primarily oriented toward favoring features that are at least somewhat predictive over the entire domain of the feature set. This predictivity may be nonlinear, and it may interact with other features, but such a predictor will be at a significant advantage over more powerful but only locally predictive candidates if the nature of its relationship to a target variable is at least somewhat consistent across the domain of all possible values of all candidate features.
Differentiate Everything with a Reversible Domain-Specific Language

Reverse-mode automatic differentiation (AD) suffers from the issue of having too much space overhead to trace back intermediate computational states for backpropagation. The traditional method to trace back states is called checkpointing that stores intermediate states into a global stack and restore state through either stack pop or re-computing. The overhead of stack manipulations and re-computing makes the general purposed (or not tensor-based) AD engines unable to meet many industrial needs. Instead of checkpointing, we propose to use reverse computing to trace back states by designing and implementing a reversible programming eDSL, where a program can be executed bi-directionally without implicit stack operations. The absence of implicit stack operations makes the program compatible with existing compiler features, including utilizing existing optimization passes and compiling the code as GPU kernels. We implement AD for sparse matrix operations and some machine learning applications to show that our framework has state-of-the-art performance.
Research on Standardization and Scientization of Video Investigation

The collection and extraction of video data are the basic work of video investigation. When the video investigation is carried out, great emphasis should be put on the collection and extraction of video data to ensure the legitimacy and effectiveness of the whole video investigation. However, at present, the collection and extraction of video data in video investigation are not standardized and scientized, and lack of authoritative theoretical guidance. Although some books and papers on video investigation have been published, there is still a lack of systematic and precise elaboration on the collection and extraction of video data. In view of the current research situation, the standardization and scientization of video data collection and extraction are studied in this paper. It may further guide the video investigation work.
AKUISISI BAHAN PUSTAKA DI PERPUSTAKAAN SMP N 5 KOTABARU

This research is entitled Acquisition of Library Material in the library of SMP N 5 Kotabaru. The purpose of the author is to find out the procedure for the acquisition of library materials that are located in the library of SMP N 5 Kotabaru. The sample of this study in the library of SMP N 5 Kotabaru. This study applies qualitative methods. How to collect data using observation, interviews and documentation. This study directs the library to require standard documents in the written acquisition library. This acquisition includes the selection of library materials carried out by teachers, staff, librarians and students. The library acquisition system is carried out through purchases, grants and contributions. Key words: Acquisition, Library Materials, Library.
PKM Pembuatan Sistem Pengolahan Air Limbah Sederhana dan Pegelolaan Limbah Cair Tahu dengan Metode Fotodegradasi

Natural Tofu Business has been established since 1999. The Natural Tofu Business already has a Waste Water Treatment System( WWTS) but it was not in accordance with the standards. This condition can have a negative impact on the environment because the natural tofu business was located near to the river. Purpose of community service to improve knowledge about liquid waste management, training to design WWTS that was good and training in the management of liquid waste with photodegradation techniques. The methods used are lectures, discussions, questions and answers, and demonstrations (practice). The results from these community service activities were increased respondents' knowledge about tofu liquid waste, forming a good WWTS consisting of 4 wastewater storage tanks. Photodegradation techniques can reduce of Biological Oxygen Demand (BOD), Chemical Oxygen Demand (COD) and Total Suspended Solid (TSS) of tofu liquid waste after photocatalysts were added for 2 and 4 hours with sunlight irradiation so that liquid waste was safely disposed of in the river. This photodegradation technique was proven effective in decomposing liquid waste that needs to be developed in the future .
VectorTSP: A Traveling Salesperson Problem with Racetrack-like acceleration constraints

We study a new version of the Euclidean TSP called VectorTSP (VTSP for short) where a mobile entity is allowed to move according to a set of physical constraints inspired from the pen-and-pencil game Racetrack (also known as Vector Racer ). In contrast to other versions of TSP accounting for physical constraints, such as Dubins TSP, the spirit of this model is that (1) no speed limitations apply, and (2) inertia depends on the current velocity. As such, this model is closer to typical models considered in path planning problems, although applied here to the visit of n cities in a non-predetermined order. We motivate and introduce the VectorTSP problem, discussing fundamental differences with previous versions of TSP. In particular, an optimal visit order for ETSP may not be optimal for VTSP. We show that VectorTSP is NP-hard, and in the other direction, that VectorTSP reduces to GroupTSP in polynomial time (although with a significant blow-up in size). On the algorithmic side, we formulate the search for a solution as an interactive scheme between a high-level algorithm and a trajectory oracle, the former being responsible for computing the visit order and the latter for computing the cost (or the trajectory) for a given visit order. We present algorithms for both, and we demonstrate and quantify through experiments that this approach frequently finds a better solution than the optimal trajectory realizing an optimal ETSP tour, which legitimates the problem itself and (we hope) motivates further algorithmic developments.
Supporting Pre-Production in Game Development : Process Mapping and Principles for a Procedural Prototyping Tool

Game development involves both traditional software activities combined with creative work. As a result, game design practices are characterized by an extensive process of iterative development and ...
Groundwater Hot-Springs Analysis of Bakreshwar And Tantaloi Geothermal Fields For Its Industrial Application

The fluent that is accustomed in the industries mainly water plays an important function in terms of the effectiveness of a process, material’s selection and lifespan of the output. The study was initiated to judge the quality of groundwater hot springs located in Bakreshwar and Tantaloi geothermal fields based on physicochemical parameters. The groundwater samples were gathered from seven distinct fields, equipped with geothermal wells. The collected water samples were analysed for total hardness, the total amount of dissolved solids, pH factor, and quantitative study of carbonates, bicarbonates, sulphates, nitrates, sodium, magnesium, calcium, potassium and chloride contents. Durov plot, Stiffs plot and various other diagrams were also adopted for investigating the suitability of groundwater use in an industry. Moreover, the results were correlated and compared with water quality standards based on Langelier Saturation Index (LSI), Ryznar Stability Index (RSI) and Aggressive Index (AI). The values and result thus obtained proposed highly – to – aggressively corrosive in nature and with a significant amount of scale formation. The assessment of the groundwater from Tantaloi and Bakreshwar does not demonstrate a permissible industrial water category.
HEVC intra prediction mode classification by deep learning

In High Efficiency Video Coding (HEVC) standard, the best intra prediction mode is decided by choosing the smallest ratedistortion cost of actual encoding among the total of 35 modes with the MPM (Most Probable Mode) scheme for compression purpose of mode encoding with reference to the adjacent reference blocks of the current prediction unit. This causes heavy computational complexity. In this paper, a deep neural network is conceived and experimented as a probable module for the intra prediction mode decision process inside of the HEVC encoding scheme. The neural network is trained and tested with a ground-truth dataset constructed from actual HEVC Intra encoding of original images. For the performance of the test, accuracy is used as the percentage of the correct mode output by the designed neural network to the ground-truth mode. The experimental results show that the neural network does not give good accuracy for the correct mode. However, accuracy increased when similar angle mode is considered as the correct mode. Also, the special modes of DC and Planar for MPM are analyzed in this paper.
Research Guides: Library Online Resources during COVID: Home

A guide with links to how to contact the library, Coronavius updates, and several guides on Research, Tutoring and E-books.
Wellfarestate And Effectiveness In Health Care: The Internet Of Thinghs In Hospitals From Chance To Change

We live in the revolutionary era of electronic waves connecting our everyday gadget. The internet of thinghs (IoT ) allows this to happen , through which connected devices communicate each other. Gadget collect, analyze and share data coming in via their sensors, and make certain if consequence of style decisions.A confluence of forces induced healthcare's embrace of digital health, including changing consuler expectations, a new and disruptive reinbursement model, and rising health care cost. Artificial intelligence and digital assistants (both text based Chatbots and voice based devices) are key components in the smooth operation of IoT networks.The internet of medical thinghs (I o MT) is about a connected infrastructure of medical devices, software applications, wealth system, and services. However, it could extend way beyond the hospital. In the future we can imagine that a smart watch used at home will send back vital signs to a GP's. tablet about a patient, toilets with microchips similar to the MC Io Biostra MPS win monitor urine- so- you won't need to bring your urine sample to doctor any more. Sensors will log movement’s patterns, bathroom sensors will follow patterns, of water usage, or digital mirrors with measure basic vital signs, or, we could imagine connected device put in practice: it already allows monitoring patient's sleep patterns mobility and gait, it can pick up on their breathing rates or detect if someone has a fall, it can monitor heart beats and even provide information about their emotional state. What if all that information could be sent back to the hospital for control in the future?
Performance Improvements Beyond pandas

You may have heard another pandas user mention using eval and query to speed up evaluation of expressions in pandas. While use of these functions can speed up evaluation of expressions, it cannot do it without the help of a very important library: NumExpr. Use of these functions without installing NumExpr can actually cause a performance hit. In order to understand how NumExpr is able to speed up calculations however, we need to take a deep dive into the architecture of a computer.
A selective fusion module for video super resolution with recurrent architecture

As an important subtask of video restoration, video super-resolution has attracted a lot of attention in the community as it can eventually promote a wide range of technologies, e.g., video transmission system. Recent video super resolution model<sup>1</sup> achieves cutting-edge performance. It efficiently utilizes recurrent architecture with neural networks to gradually aggregate details from previous frames. Nevertheless, this method faces a serious drawback that it is sensitive to occlusion, blur, and large motion changes since it only takes the previous generated output as recurrent input for the super resolution model. This will lead to undesirable rapid information loss during the recurrently generating process, and performance will therefore be dramatically decreased. Our works focus on addressing the issue of rapid information loss in video super resolution model with recurrent architecture. By producing attention maps through selective fusion module, the recurrent model can adaptively aggregate necessary details across all previously generated high-resolution (HR) frames according to their informativeness. The proposed method is useful for preserving high frequency details collected progressively from each frame while being capable of removing noisy artifacts. This significantly improves the average quality of the super resolution video.
DGSAC: Density Guided Sampling and Consensus

Robust multiple model fitting plays a crucial role in many computer vision applications. Unlike single model fitting problems, the multi-model fitting has additional challenges. The unknown number of models and the inlier noise scale are the two most important of them, which are in general provided by the user using ground-truth or some other auxiliary information. Mode seeking/ clustering-based approaches crucially depend on the quality of model hypotheses generated. While preference analysis based guided sampling approaches have shown remarkable performance, they operate in a time budget framework, and the user provides the time as a reasonable guess. In this paper, we deviate from the mode seeking and time budget framework. We propose a concept called Kernel Residual Density (KRD) and apply it to various components of a multiple-model fitting pipeline. The Kernel Residual Density act as a key differentiator between inliers and outliers. We use KRD to guide and automatically stop the sampling process. The sampling process stops after generating a set of hypotheses that can explain all the data points. An explanation score is maintained for each data point, which is updated on-the-fly. We propose two model selection algorithms, an optimal quadratic program based, and a greedy. Unlike mode seeking approaches, our model selection algorithms seek to find one representative hypothesis for each genuine structure present in the data. We evaluate our method (dubbed as DGSAC) on a wide variety of tasks like planar segmentation, motion segmentation, vanishing point estimation, plane fitting to 3D point cloud, line, and circle fitting, which shows the effectiveness of our method and its unified nature.
Journey Through Time

Learning is a process in which we acquire some new information that we can later use in new situations. There are several different learning styles; auditory, visual and mobile. Only few learners accept new knowledge in one way. Teachers are constantly trying to use all the senses in the learning process. In the fifth grade, at the subject society pupils get introduced with the overview of history. Since this is a very challenging topic for students, we created a timeline with them. We have attached pictures of the most important objects, events and people of each period to the timeline. With the help of the timeline, students strengthened their knowledge of historical periods. Describing, reading, listening, observing pictures, sorting... All these learning modes allow pupils the best possible understanding of the selected content. In the paper I will present various options of consolidating the chosen topic.
역대 대통령의 광주민주화운동 기념사에 대한 텍스트언어학적 분석

In this study I analyzed the Korean presidents’ speeches on the May 18 Democratic Uprising, d.h. speeches of President Lee Myung-bak, President Park Geun-hye, and President Moon Jae-in. Their speeches have similar text structures (d.h. macro strctures) which can be generalized as a common text pattern (Textmuster), in spite of the differences due to their political position and opinion. The speech on the May 18 Democratic Uprising can be regarded as a ‘speech on the past history’ in the perspective of text linguistics, especially the text typology.
Review of the year in English patent litigation 2019

Review of the year in English patent litigation 2019 Trevor Cook Trevor Cook Email: trevor.cook@wilmerhale.com Search for other works by this author on: Oxford Academic Google Scholar Journal of Intellectual Property Law & Practice, Volume 15, Issue 6, June 2020, Pages 419–428, https://doi.org/10.1093/jiplp/jpaa050 Published: 01 June 2020 Article history Received: 21 February 2020 Published: 01 June 2020
Debugging and Profiling

As a developer, you are going to spend a large part of your time debugging code. Not your code, naturally. Your code is completely covered by unit tests and has no bugs whatsoever. But other people’s code. People who don’t have the benefit of your many years of experience, or your skills in crafting bulletproof solutions. Or maybe third-party or open source code. Sometimes there are bugs in those too.
A New Measurement for Japanese Consumer Confidence Index

The Consumer confidence index (CCI) has long centered on the psychological aspect of consumers. This paper proposes using Jiji Press poll data for Japan's newly defined CCI instead of the conventional Cabinet Office (CaO) survey. This allows for an additional 40 years of monthly data. Examining the similarity of conventional indices by time series cluster analysis with the derivative dynamic time warping method, this paper demonstrates that the monthly CCI has been consistent with the conventional CaO index since 1963.
LibGuides: Shakespeare's Life and Times: Home

This guide is useful for high school students studying the life and times of William Shakespeare. Teachers may also use this guide to conduct a WebQuest or smaller research assignments before studying one of Shakespeare's plays.
An Image Restoration Method for Outdoor and Its Application to Under Water Using Improved Transmission Map and Airlight Estimation

Dehazing is an important image restoration technique to remove the presence of Haze from a hazy image. Recent dehazing algorithm is not sufficient to remove Haze from the given outdoor or underwater hazy images. Therefore, an efficient dehazing algorithm is needed for the removal of Haze. Initially, multiple image dehazing methods are used to remove Haze and these dehazing methods have many drawbacks such as, multiple image methods cannot be applied to dynamic scenes and cannot provide results instantly. In order to overcome drawbacks of multiple image dehazing methods, Single image dehazing methods are introduced which are based on some important observations or priors. One such single image dehazing technique is dark channel prior. The thickness of Haze and airlight is estimated using dark channel prior. Guided Filter technique is used to refine the transmission map. But the estimated Haze thickness is inaccurate because of the usage of minimum operator in dark channel prior method. To improve the estimation of Haze thickness, the edge collapse based repair is used after dark channel prior and guided filter technique. This paper presents the time-efficient dehazing of outdoor images with patch size of 25 × 25 and airlight of 3% and this principle is applied to remove Haze in underwater images. The experimental result shows a better result for both outdoor and underwater images.
Tool support for architectural decision making in large software intensive projects

Software architecture is a set of architectural design decisions (ADDs). Due to time constraints, these decisions are not explicitly documented. We present a tool (ADeX) to manage ADDs and support the decision-making process. Using ADeX, one can answer: “What decisions have been made?”, “Which elements and quality attributes are affected by a decision?”, “Who should make a new decision?”, “Which similar decisions have been made?”, and “What alternatives to consider while making a decision?”.
Pengaruh Penggunaan Media Macromedia Flash terhadap Kemampuan Bercerita Siswa

Abstract. The research is threaded to know the effectiveness of Macromedia based Flash Learning in Bahasa Indonesia, so it can improve the retelling skills of students. Learning to use Macromedia Flash allows effective and innovative learning in schools, as students can play while learning. The research method used in this research is quasi experiment. The population in this study was the V-class student at SDN 007 Sidodadi, with the simple random sampling technique obtained by the VA class samples as experimental classes and the VC class as the control class. The instruments used in this study were the test of student learning results that were given before and after the study was conducted. The analysis of the data used in this research is the Independent sample T-Test. Based on the results of analysis and discussion, it can be concluded that there are significant differences in the learning of storytelling my experience sharing between students who use Macromedia Flash and without using Macromedia Flash on students Class V SDN 007 Sidodadi. It is shown the value of P value 0.001 < 0.05, then Ho is rejected.