Reviewerly/exHarmony huggingface dataset:
Autonomous Path Planning

Path Planning refers to the search for the most optimal path that is subjected to a certain optimization criteria or criterion (shortest walking path, shortest travel time, etc.) and could avoid obstacles from an initial state to a target state. Path planning is one of the key technologies of unmanned systems. Almost every task implementation involves path planning. At the same time, path planning involves many complex technologies and operations such as environmental model building, lane changing, cornering, intersection operations, and most importantly, obstacle avoidance. Path planning algorithms are also widely adopted in many other fields of application, not just in the field of the mobile robots. Applications in the advanced technology fields include the UAV’s obstacle-avoidance flight, the cruise missile avoidance radar search, the anti-bounce attack, and the completion of the blasting tasks. Applications in daily life include the GPS navigation, the GIS-based road planning, the urban road network planning and navigation. Applications in the field of decision management include the vehicle routing problem (VRP) in vehicular logistics management, resource management and resource allocation problems, and routing problems in the field of communication technology. Fundamentally, any planning problem that can be topologically be represented as points, edges and a network can be solved by the path planning method.
Ben-Hur: Symphonic Studies for String Orchestra

Author(s): Scott, Kevin | Abstract: This music score was submitted for the Kaleidoscope 2020 Call for Scores, an open access collaboration with the UCLA Music Library.
Oblivious tight compaction in O(n) time with smaller constant.

Oblivious compaction is a crucial building block for hash-based oblivious RAM. Asharov et al. recently gave a O(n) algorithm for oblivious tight compaction [2]. Their algorithm is deterministic and asymptotically optimal, but the implied constant is \({\gg }2^{111}\). We give a new algorithm for oblivious tight compaction that runs in time \({<}23913.17n + o(n)\). As part of our construction, we give a new result in the bootstrap percolation of random regular graphs.
Research on the Accurate Detection System Based on the Convolutional Neural Network

The purpose of this project is trying to detect tumors by computer based on deep learning techniques when a picture of a tumor is shown. In this research, a fast and accurate colon cancer detection is proposed, which means this research can dramatically increase the speed of diagnosis and can also improve the accuracy of confirming a diagnosis. During the experiment, a Convolutional Neural Network (CNN) structure akin to that of VGG Net and ResNet was built. A GPU computer with two 2080 Ti GPUs was used for training. The result of training produced 94% accuracy with a loss lower than 10%. Respectively, this result improved over 10% of accuracy compared to the detection by human eyes. Lastly, this program can be used by any computer to predict the tumor, which allows it transits to a practical tool in the future.
LiveHint: Intelligent digital support for analog learning experiences

Among the critical expectations that learning stakeholders have for K-12 curriculum providers during the current global pandemic are that they provide: (a) support to rectify students' learning loss, (b) resources to help parents support student learning, and (c) greater access to open educational resources We introduce a mobile-friendly, digital support for analog learning experiences called LiveHint, which currently supports students as they work on assignments in Carnegie Learning’s physical worktexts via a chatbot with access to thousands of context-sensitive hints In addition to expanding the number of courses supported by LiveHint, we discuss possibilities for expanding the scope of activities supported by LiveHint within Carnegie Learning’s existing content We also lay out possibilities for expanding the approach beyond Carnegie Learning’s content to teacher-created artifacts (e g , custom worksheets), hand-offs between instructional modalities, and potential research use-cases for data collected from such a platform Copyright © 2020 for this paper by its authors Use permitted under Creative Commons License Attribution 4 0 International (CC BY 4 0)
Penelusuran Informasi Lulusan Program Studi Pendidikan Bahasa Indonesia Fakultas Bahasa dan Seni

AbstractShearch for information on graduates of Indonesian Language Study Programs a the Faculty of Language and Art. Paper. Library and Archives Information Study Program, Indonesia dan Regional Language and Literature Departement, Language and Art Faculty, Padang State University. In this paper we discuss the search for graduates of the UNP Language and Arts Faculty of Indonesia Language Study Program. The purpose of this study was to determine the profile of Indonesia Education Study Program graduates and to know the competency and employment of these graduation. The research method approach used is a qualitatif method. Data was collected using questionnaires. The location of this study was carried out on the application or distributing questionnaires through social media. The object of the search was the Inodesian Language Education alumni who responded to 47 alumni. The data collection technique was by sharing questionnaires through WhatsApp media. Analyze the data used by using the google form application. First based on the results of the study, concluded the following matters. Graduates of the Indonesian Language Study program every year do not settle or go up and down, many respondents are among women with the dominant year of entry in 2014, the lenght of the waiting period for employment before graduation 1-3 months while their first job is &lt; 3 months. The two Indonesian Language Education alumni are mostly looking for work through the internet, the level, and they work in the education sector, both private and obtain the first salary of RP. 1.000.000 and the first salary of Rp. 1.000.000- IDR 2.000.000.Keyword: search; education; alumni
Guides: Edbird E-Tutoring: Home

This guide has been created to support you in your role as an Edbird E-Tutor by curating where to discover: activities, worksheets, background information, online interactives and more to use in your tutoring sessions.
How Incompletely Segmented Information Affects Multi-Object Tracking and Segmentation (MOTS)

In recent years, deep learning has made dramatic advances in computer vision field, especially in improving the performance of object detection as well as instance semantic segmentation. Still, multi-object tracking (MOT) remains a very challenging issue. Even in state-of-the-art deep learning-based object detectors, a preferred paradigm for MOT: tracking-by-detection, can only slightly improve the tracking performance. Pixel-level information is considered more precise and useful for tracking performance improvement than using conventional information, such as foreground or background content in a bounding box. However, the performance of current state-of-the-art models for automatically annotating pixel-level information is still far from the expectation of human beings. Therefore, we shall explore how multi-object tracking and segmentation (MOTS) is affected when the information obtained after applying instance semantic segmentation is incomplete. We propose a mask-guided two-streamed augmentation learning (MGTSAL) algorithm, which can be applied to TrackR-CNN to alleviate significant drop of MOTS performance when encountering incompletely segmented information. We evaluate the proposed approach on MOTS KITTI dataset, and our approach outperforms the baseline model TrackR-CNN in all our experimental settings. The promising experimental results and ablation study validate the effectiveness of the proposed approach.
Black-Box Constructions of Bounded-Concurrent Secure Computation.

We construct a general purpose secure multiparty computation protocol which remains secure under (a-priori) bounded-concurrent composition and makes only black-box use of cryptographic primitives. Prior to our work, constructions of such protocols required non-black-box usage of cryptographic primitives; alternatively, black-box constructions could only be achieved for super-polynomial simulation based notions of security which offer incomparable security guarantees.
PENGARUH PENGAJARAN REMEDIAL TERHADAP HASIL BELAJAR PENDIDIKAN AGAMA KRISTEN (PAK) PADA SISWA KELAS XI SMK NEGERI 1 LAGUBOTI TAHUN PEMBELAJARAN 2019/2020

This study aims to determine the level of remedial teaching achievement, the level of learning outcomes before remedial and the level of PAK learning outcomes of students in SMK Negeri 1 Laguboti in the 2019/2020 academic year, as well as to determine the positive and significant influence between remedial teaching on the learning outcomes of PAK XI grade students of XI SMK Negeri 1 Laguboti 2019/2020 academic year. The hypothesis of this study is: there is a positive and significant influence of remedial teaching on the learning outcomes of PAK XI grade students of SMK Negeri 1 Laguboti 2019/2020 academic year. Researchers used quantitative inferential statistical research. The population in this study amounted to 105 people and a sample of 51 people. The research instrument used was a closed questionnaire and tests.The conclusions of this study were the level of remedial teaching achievement of 64.924% with a good scale range, the level of achievement of learning outcomes before remedial to students amounted to 59.51 with the completion criteria or 70, and the level of learning outcomes after learning remedial for students is 82.12 with naotas criteria or 70. And the positive relationship test results obtained value of 0.418 tute 0.297. The result of simple linear equation is Y-62.239 + 0.303, with tnne lutei value (3,260 1,684) and futur fme value (10,626 4,08) so that it can be collected that the hypothesis is accepted.Keywords: Remedial Teaching, Student PAK Learning outcomes
Simple and Efficient FE for Quadratic Functions.

This paper presents two functional encryption schemes for quadratic functions (or degree-2 polynomials) achieving simulation-based security in the semi-adaptive model with constant-size secret keys. Prior constructions in the standard model either achieve weaker security model [CRYPTO 17] or require linear-size secret keys (in the message length) [PKC 20]. One of our proposed schemes is comparable to existing schemes in the generic group model in terms of ciphertext size. Technically, we combine Wee’s compiler [TCC 17] with Gay’s paradigm [PKC 20]. However, we avoid (partially) function-hiding inner-product functional encryption used in Gay’s paradigm which makes our work conceptually simpler.
PERANCANGAN BUSANA READY TO WEAR UNTUK TRAVEL BLOGGER MENGGUNAKAN KAIN TENUN LURIK

ABSTRACT Traveling is an activity that is currently one part of the generation Z lifestyle that was born since technology has existed and developed over time. By utilizing technology, finding and sharing information and traveling as a traveler is easier so becoming a travel blogger is a profession that is currently trending among Generation Z using social media. This can be an opportunity to design ready to wear clothing that can be used easily and comfortably for travel bloggers but still has aesthetic fashion value. In addition, the use of traditional fabrics such as lurik is developing and varies in terms of thickness, patterns, and colors as the main material for clothing so that the existence of lurik fabric is expanded by being introduced by travel bloggers through their social media. By using qualitative methods such as observing, interviewing, studying literature, and experimenting, this research aims to design a ready to wear fashion that has a sustainable fashion concept with zero waste pattern techniques and the use of traditional fabrics to support the Z generation who has the character of caring about environment and culture. In addition, this research is expected to be a useful reference to be developed further. Keywords: Ready To Wear, Traveling, Lurik Woven Fabric, Zero Waste
A Study on the Development and Validation of University Student Debate Ability Evaluation Tools Using the Ratch Model and Factor Analysis

본 연구는 대학생의 토론능력 평가도구를 개발하고 이를 검증하기 위해 실시되었다. 이를 위해서 토론능력과 토론능력의 평가요소를 구분할 필요가 있다. 선행연구 분석과 전문가 협의를 통해 토론능력 평가요소를 ‘논리적 구성력’과 ‘표현전달력’으로 추출하였다. 추출된 평가요소를 교수자가 관찰하여 평가가 가능하도록 토론자의 토론 언어와 행동을 측정하는 평가문항으로 수정하였다. 대학생의 토론능력 평가를 위해 논리적 구성력과 표현전달력에 해당하는 문항으로 평가도구를 구성하였다. 토론능력 평가도구의 객관성을 확보하기 위해 예비조사와 본 조사를 실시하였다. Rasch 모형과 탐색적 요인분석, 확인적 요인분석을 통하여 평가도구의 신뢰도와 타당도를 확보하였고 최종 13문항으로 구성된 평가도구를 개발하였다. 본 연구는 교수자가 토론 교육현장에서 대학생의 토론능력을 평가하기 위한 객관적 토론능력 평가 도구를 제시하였으며, 논리적 구성력과 표현전달력의 중요성을 재확인한데에 의의가 있다.This study was conducted to develop and verify the discussion ability assessment tools of university students. To this end, it is necessary to distinguish between the evaluation factors of debate ability. Through prior research analysis and expert consultation, the elements of the evaluation of debating ability were extracted as ‘logical composition’ and ‘expression delivery.’ The extracted evaluation elements were modified to measure the debater’s discussion language and behavior so that the professor could observe and evaluate them. To evaluate the debate ability of the university students, the assessment tools were organized with questions corresponding to logical composition and expressive delivery. Preliminary surveys and main surveys were administered to ensure objectivity of the assessment tools for discussion ability. The reliability and validity of the assessment tools were secured through the Rasch model and exploratory and confirmatory factor analysis, and the assessment tools composed of the final 13 questions were developed. This study is meaningful in that the professor presented an objective discussion ability evaluation tools to evaluate the debate ability of university students at the debate education site and reaffirmed the importance of logical composition and expressive delivery.
DETEKSI MINAT BELI PELANGGAN TERHADAP PRODUK PAKET INTERNET MENGGUNAKAN ALGORITMA NAÏVE BAYES CLASSIFIER

The need for communication technology that can find out the customer's buying interest is something that isneeded by the company, the goal is that the company can obtain consideration regarding product sales andappropriately take a policy regarding pricing of a product, the amount of product supply and so on. The naivebayes classifier method is sufficient to be able to find out how much the customer's buying interest in aninternet package product is by analyzing the results of past sales, meaning that the Naive Bayes algorithmcan predict future opportunities based on past experience, by defining each class from all attribute. The naivebayes classification is assumed that there is or not a certain feature and a class has nothing to do with othercharacteristics and classes. This study defines several characteristics, namely operator, quota, active periodand product price. From the results of this study is the author can find the value of accuracy from the resultsof calculating interest and not by comparing the results of predictions with actual results outside the trainingdata. Based on data on internet package product sales as training data, the Naive Bayes method successfullyclassifies 10 product data with 858 transaction data as training data and 10 product data with 115 transactiondata as test data. From the analysis of all test data and training data, the truth ratio is 8/10, which is 8 out of10 products with predictive values that are of true value. So that the accuracy value is 80% and to find outthe customer's buying interest by calculating the sales data that has been past with the provisions and inaccordance with the specified label, the results of this prediction are expected to be a better policyconsideration for the sales business.Keywords: naive bayes classifier, sales of internet package products.
Rancangan Kegiatan Literasi Informasi di SMA Negeri 1 Padang

AbstractBased on the results of research that has been done, the literacy activities at SMAN1 Padang are in accordance with the activities in the Master Design Movement of the School Literacy Movement, then it can be concluded as follows. First the design of information literacy activities at SMAN 1 Padang, namely: (1) reading activity 15 minutes before learning, i.e. making a literacy journal for students; (2) reading award, namely literacy ambassador. (3) Literacy corner, holding a reading corner in the park. (4) reading books by utilizing the role of the library, holding user guidance. (5) procurement of libraries as a source of literacy, making literacy bulletin boards. Second, constraints in the utilization of information literacy at SMAN 1 Padang, namely: limited implementation time in reading activities 15 minutes before learning, lack of placement of reading corners and completeness of reading collections in the literacy corner, lack of implementing reading award activities. Third, efforts to overcome obstacles in information literacy activities at SMAN 1 Padang, namely: increasing the implementation time of reading activities 15 minutes before learning, increasing collection and placement of reading corners in the school environment, continuing reading reading activities and adding prizes to students.Keywords: design, literacy
Guides: Resources for Home Learning: Parent Resources

During this time when many students are learning from home, we've complied a guide for free online resources to help children learn and play at home.
PRIVACY PRESERVING ASSOCIATION RULE MINING IN FEDERATEDCLOUD ENVIRONMENT USING SPARK

Association rule data mining provides to integrate large volume of dataset and extract information for making effectivedecisions. The extracting useful information is found large number of disjoint dataset with multiple cloud federations.Cloud federation is a collection of shared data and hosted from multiple cloud user environment. In this case theorganizations are sharing data and adopt changing environments. The privacy preserving is an important factor andallows the organization to control the cloud environments while accessing the data. In the paper, we use association rulemining in federated cloud environment using spark model for preserving privacy. In this framework set of user canallows to access the private dataset and encrypt the dataset for providing privacy. In our proposed model we considerconfidentiality, privacy and integrity major factors. We propose privacy preserving identity access mode with attributebased access control mechanism in cloud environment. The user can get access from set of policies granted by cloudenvironment. The spark model is used for testing the experiments and compares the results with existing methods.
Concerto for Vibraphone and Strings

Author(s): Quintans, Santiago | Abstract: This music score was submitted for the Kaleidoscope 2020 Call for Scores, an open access collaboration with the UCLA Music Library.
BAT algorithm used for load balancing purpose in cloud computing: an overview

Cloud computing is modern technology that has led to significant change in different fields of life by providing different kinds of servicer like hardware and software on user demands based on pay and gain rule. Due to the rapid growth of cloud computing it faces different kinds of issues, and resource allocation is one of them. For the improvement of resource allocation system in cloud computing different kinds of technique are used, and load balancing technique is one of them. In this paper we discuss resource allocation system in virtual machines (VM) because when a user sends data in VM then a situation may occur that some VM are overloaded and some become underloaded, which may lead to failure of system or request delay. For improvement of this situation different researchers used different algorithms in load balancing technique for cloud computing. This paper only focuses on BAT algorithms which are used for load balancing technique in improved resource allocation system for VM and also defines those rules which are used for improvement in load balancing technique in cloud data centre.
Design of Hazardous Waste Station in XYZ Port, Jakarta City

The design of hazardous waste station is intended to adjust the security in the XYZ port area based on the fire and leakage possibility of hazardous waste generation.The research method used primary and secondary data to determine the availability of land area, and solid waste generation including its characteristics, respectively.The design of hazardous waste station was initiated with field observations to measure the land availability, and followed by secondary data collection to identify the volume, characteristics, and dimensions of hazardous waste collection.The composition of hazardous wastes, based on the solid waste characteristics, was flammable (20%), flammable and toxic (56%), toxic (23%), and corrosive (1%).The result suggested that the recommended dimension of the hazardous waste station was 11m x 8 m.The container dimensions for leakage prevention were 2 m x 2 m x 0.6 m with a freeboard of 0.3 m.The fire extinguisher was within a range of 12 m.
GPIRT: A Gaussian Process Model for Item Response Theory

The goal of item response theoretic (IRT) models is to provide estimates of latent traits from binary observed indicators and at the same time to learn the item response functions (IRFs) that map from latent trait to observed response. However, in many cases observed behavior can deviate significantly from the parametric assumptions of traditional IRT models. Nonparametric IRT models overcome these challenges by relaxing assumptions about the form of the IRFs, but standard tools are unable to simultaneously estimate flexible IRFs and recover ability estimates for respondents. We propose a Bayesian nonparametric model that solves this problem by placing Gaussian process priors on the latent functions defining the IRFs. This allows us to simultaneously relax assumptions about the shape of the IRFs while preserving the ability to estimate latent traits. This in turn allows us to easily extend the model to further tasks such as active learning. GPIRT therefore provides a simple and intuitive solution to several longstanding problems in the IRT literature.
Cryptoanalysis of ID-based Proxy Re-signature Scheme with Pairing-free

As a significant cryptographical primitive, proxy re-signature(PRS) technique is broadly applied todistributed computation, copyright transfer and hidden path transfer because it permits that a proxy translates anentity’s signature into the other entity’s signature on the identical data. Recently, to discard time-consuming pairing operator and intricate certificate-maintenance, Wang et al. proposed two efficient pairing-free ID-based PRSschemes, and declared that their schemes were provably secure in the ROM. Very unluckily, in this investigation,we point out that Wang et al.’s schemes suffer from attacks of universal forgery by analysing their security, i.e.,anyone can fabricate a signature on arbitrary file. After the relevant attacks are shown, the reasons which result insuch attacks is analyzed. Finally, we discuss the corresponding improved method.