Reviewerly/exHarmony huggingface dataset:
Analysis of a new Cardinality Estimator -- ExtendedHyperLogLog

We discuss the problem of counting distinct elements in a stream. A stream isusually considered as a sequence of elements that come one at a time. An exactsolution to the problem requires memory space of the size of the stream. Formany applications this solution is infeasible due to very large streams. Thesolution in that case, is to use a probabilistic data structure (also calledsketch), from which we can estimate with high accuracy the cardinality of thestream. We present a new algorithm, ExtendedHyperLogLog (EHLL), which is basedon the state-of-the-art algorithm, HyperLogLog (HLL). In order to achieve thesame accuracy as HLL, EHLL uses 16% less memory. In recent years, a martingaleapproach has bean developed. In the martingale setting we receive betteraccuracy at the price of not being able to merge sketches. EHLL also works inthe martingale setting. Martingale EHLL achieves the same accuracy asMartingale HLL using 12% less memory.
LibGuides: 2021 Reading Challenge: One-Word Titles

A guide of book recommendations designed for readers completing MPL's annual reading challenge!
ENVIRONMENTAL GRAPHIC DESIGN (EGD) TO STRENGTHEN THE IMAGE OF SANAN VILLAGE AS A THEMATIC VILLAGE IN MALANG

Kampung Sanan is one of the MSME Centers in Malang City, in 2016 Kampung Sanan was named as one of the Thematic Villages of Malang City which focuses on the economic sector which has begun to be developed into the educational tourism sector. Kampung Sanan already has several educational tourism objects, but their distance from each other makes it difficult for visitors to find their location.The purpose of this design is to strengthen the image of Sanan Village. Beside that Educational Object of Sanan Village, which has a separate location, needs an EGD to make it easier for visitors to find the place of the tourist object to be addressed. EGD can organize the Sanan village environment to make it more exciting and have unity between tourist objects. EGD Village Sanan was designed using the Bruce Archer method, which includes the process of formulating problems based on briefs, collecting data, then analyzing and concluding, then proceeding with synthesis, as well as developing designs that are translated into verbal and visual concepts to communication or final system designed as a solution. The results of this design are 1) Welcome Sign applied at the entrance of Sanan Village, 2) Identification Sign used at every tourist attraction and public facilities, 3) Direction Sign applied at the crossroads, 4) Regulation Sign applied at places prone to illegal parking and garbage disposal, 5) Supporting Media in the form of brochures, stickers, billboards, IG feeds, and vertical banners. With the EGD, it is expected that Sanan Village is not only known as a souvenir centre, but visitors are also interested in visiting Sanan Village Tourism Objects. The following EGD design is expected to be developed to adapt current technology by the next Visual Communication Design Student.
CUED_SPEECH at TREC 2020 Podcast Summarisation Track.

In this paper, we describe our approach for the Podcast Summarisation challenge in TREC 2020. Given a podcast episode with its transcription, the goal is to generate a summary that captures the most important information in the content. Our approach consists of two steps: (1) Filtering redundant or less informative sentences in the transcription using the attention of a hierarchical model; (2) Applying a state-of-the-art text summarisation system (BART) fine-tuned on the Podcast data using a sequence-level reward function. Furthermore, we perform ensembles of three and nine models for our submission runs. We also fine-tune the BART model on the Podcast data as our baseline. The human evaluation by NIST shows that our best submission achieves 1.777 in the EGFB scale, while the score of creator-provided description is 1.291. Our system won the Spotify Podcast Summarisation Challenge in the TREC2020 Podcast Track in both human and automatic evaluation.
Context-Based User Typicality Collaborative Filtering Recommendation

A B S T R A C TSince contextual information significantly affecting users' decisions, it has attracted widespread attention.User typicality indicates the preference of user for different item types, which could reflect the preference of user at a higher abstraction level than the items rated by user, and can alleviate data sparsity.But it does not consider the impact of contextual information on user typicality.This paper proposes a novel context-based user typicality collaborative filtering recommendation algorithm (named CBUTCF), which combines contextual information with user typicality to alleviate the data sparsity of context-aware collaborative filtering, and extracts, measures and integrates contextual information.First, the items are clustered and classified into different item types.For different users, the significance of contextual information for different item types is defined and measured via knowledge granulation.Then, the contextual information is combined with user typicality to measure the context-based user typicality; subsequently, the 'neighbor' users are determined.Finally, the unknown ratings under a single context are predicted, and the unknown ratings under multi-context are predicted according to the weighted summation of the significance of contextual information.The experimental results demonstrate that CBUTCF can effectively improve the accuracy of recommendation and increase coverage.
Automized Driver Personalization using Computer Vision

&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;All safety features built-in cars do not necessarily ensure safety automatically. In the driving position, the driver should be able to reach the steering wheel, gear shifter and other relevant car controls comfortably. This paper proposes an automated system that works on camera-based computer vision technology which identifies the person's attributes such as height using the motion sensor camera to adjust the seat including head restraint while the person enters the car and various other controls such as steering wheel position, adjustment of gear shifter in a linear motion. Once they start driving, the position of side-view mirrors and IRVM mirrors will be adjusted based on eye movement. By this system, a comfortable and safe ride can be created for the driver making our roads safer.&lt;/div&gt;&lt;/div&gt;
Beauty is in the eye of the beholder: Improving the human-computer interface within vrad by the active and two-way employment of our visual senses

Whether it is via traditional methods with pen and paper or contemporary techniques such as 3D digital modelling and VR drawing, the eye typically plays a mostly passive or consuming role within the design process. By incorporating eye-tracking deeper within these methods, we can begin to discern this technology's possibilities as a method that encompasses the visual experience as an active input. Our research, however, developed the Eye-Tracking Voxel Environment Sculptor (EVES) that incorporates eye-tracking as there design actor. Through EVES we can extend eye-tracking as an active design medium. The eye-tracking data garnered from the designer within EVES is directly utilised as an input within a modelling environment to manipulate and sculpt voxels. In addition to modelling input, eye-tracking is also explored in its usability in the Virtual Reality User Interface. Eye-tracking is implemented within EVES to this extent to test the limits and possibilities of eye-tracking and the Human-Computer Interface within the realm of Virtual Reality Aided Design.
LibGuides: Summer Reading: Community Resources

This summer take a break from your studies by reading for pleasure! This guide provides you with recent titles you can access right from home! Happy Reading!
LibGuides: OneSearch: The Library Discovery Tool: Get Help or Report a Problem

This guide is here to help the Cal State LA campus become more familiar with the library discover tool and how it works.
Research Guides: Student Curated Digital Exhibits: Adding Items & Metadata

This guide includes information for students curating digital exhibits using Special Collections materials
All guides: Using Videos in Canvas: Referencing videos

This guide provides instructions on linking and embedding Library videos, including playlists and clips, in your Canvas course and Reading List.
Best Gaming Graphics Card Under 100

Just like the CPU, the graphics component of the computer termed the GPU is another essential aspect of the computer that must be taken into account, ...
LibGuides: Online Learning Resources: Voice Lecture Recording

The resources on this guide were compiled by the Online Learning Resources subcommittee of the Campbell University Faculty Senate.
LibGuides: TeenSpace: Volunteer

Your guide to all things teen at the Huntington Beach Public Library! Volunteer @ your Library
LibGuides: Sustainability for Kids: Home

Resources for teachers, parents and caregivers to share with children and teens. Together we can build a more sustainable world.
THE DESIGN OF THE BUILDING RENTAL INFORMATION SYSTEM USES THE PROTOTYPE METHOD

Currently, most of the building leasing is done manually; that is, the activities from ordering to leasing must be done at the office where the building is leased. In the ordering process, the clerk records all the ordering data in the book. The problem that often occurs is that office staff need time to view customer data and see the building schedule used. The second problem occurs to consumers. Consumers have to come to the office to see the building and place an order, so it takes a long time; with this problem, a building rental information system is needed to make it easier for the community. The method used in designing this information system uses the prototype method and software testing using a black box with the help of maze design for testing correspondents; with the design of this building, the rental information system can run effectively and efficiently and help people find and rent buildings. The result of this research is that the building rental information system design can be designed with a prototype method supported by creating a user interface from the proposed application.
PEMBELAJARAN PEMAHAMAN KONSEP MATEMATIKA SISWA KELAS 5 SEKOLAH DASAR MENGGUNAKAN MEDIA ULAR TANGGA BERKARTU DI MASA PANDEMIC COVID-19 MELALUI PEMBELAJARAN DARING

The background of this research is the low understanding ability of elementary students, especially in mathematics. This is accompanied by a lack of interactive mathematics learning media that can facilitate children in learning mathematics in a fun and meaningful way. For this reason, it is very important to improve the understanding ability of elementary school students by creating and implementing interactive mathematics learning media. Media made from simple but meaningful materials to make students more familiar with the mathematics material being taught. We can also apply this in online learning during the Covid-19 pandemic. The long-term objective of this research program is to develop innovative learning through the preparation of Cardboard Snakes and Ladders learning media for mathematics learning in grade 5 elementary schools. Specifically, the specific targets to be achieved are as follows: (1). Improve the ability of 5th grade students to understand mathematics through the application of Carded Ladder Snake Media. (2). Compilation of Cardboard Snake and Ladder Learning Media for Mathematics learning. (3) Compilation of Teaching Materials based on Carded Ladder Snake Media. The research method is descriptive qualitative method. Learning was carried out online during the Covid-19 pandemic. The research instrument used was Written test with indicators of mathematics comprehension ability and teacher and student observation sheets.
Corrections to “Seismic Signal Analysis Using Empirical Wavelet Transform for Moving Ground Target Detection and Classification”

In the above article <xref ref-type="bibr" rid="ref1" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[1]</xref> , the second and third paragraphs of footnote should be read as follows:
Attr2Style: A Transfer Learning Approach for Inferring Fashion Styles via Apparel Attributes.

Popular fashion e-commerce platforms mostly provide details about low-level attributes of an apparel (for example, neck type, dress length, collar type, print etc) on their product detail pages. However, customers usually prefer to buy apparel based on their style information, or simply put, occasion (for example, party wear, sports wear, casual wear etc). Application of a supervised image-captioning model to generate style-based image captions is limited because obtaining ground-truth annotations in the form of style-based captions is difficult. This is because annotating style-based captions requires a certain amount of fashion domain expertise, and also adds to the costs and manual effort. On the contrary, low-level attribute based annotations are much more easily available. To address this issue, we propose a transfer-learning based image captioning model that is trained on a source dataset with sufficient attribute-based ground-truth captions, and used to predict style-based captions on a target dataset. The target dataset has only a limited amount of images with style-based ground-truth captions. The main motivation of our approach comes from the fact that most often there are correlations among the low-level attributes and the higher-level styles for an apparel. We leverage this fact and train our model in an encoder-decoder based framework using attention mechanism. In particular, the encoder of the model is first trained on the source dataset to obtain latent representations capturing the low-level attributes. The trained model is fine-tuned to generate style-based captions for the target dataset. To highlight the effectiveness of our method, we qualitatively and quantitatively demonstrate that the captions generated by our approach are close to the actual style information for the evaluated apparel. A Proof Of Concept (POC) for our model is under pilot at Myntra (www.myntra.com) where it is exposed to some internal users for feedback.
Introducing AIDE: a Software Suite for Annotating Images with Deep and Active Learning Assistance

&amp;lt;p&amp;gt;Ecological research like wildlife censuses increasingly relies on data on the scale of Terabytes. For example, modern camera trap datasets contain millions of images that require prohibitive amounts of manual labour to be annotated with species, bounding boxes, and the like. Machine learning, especially deep learning [3], could greatly accelerate this task through automated predictions, but involves expansive coding and expert knowledge.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;In this abstract we present AIDE, the Annotation Interface for Data-driven Ecology [2]. In a first instance, AIDE is a web-based annotation suite for image labelling with support for concurrent access and scalability, up to the cloud. In a second instance, it tightly integrates deep learning models into the annotation process through active learning [7], where models learn from user-provided labels and in turn select the most relevant images for review from the large pool of unlabelled ones (Fig. 1). The result is a system where users only need to label what is required, which saves time and decreases errors due to fatigue.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;lt;img src=&amp;quot;https://contentmanager.copernicus.org/fileStorageProxy.php?f=gnp.0402be60f60062057601161/sdaolpUECMynit/12UGE&amp;amp;app=m&amp;amp;a=0&amp;amp;c=131251398e575ac9974634bd0861fadc&amp;amp;ct=x&amp;amp;pn=gnp.elif&amp;amp;d=1&amp;quot; alt=&amp;quot;&amp;quot;&amp;gt;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;lt;em&amp;gt;Fig. 1: AIDE offers concurrent web image labelling support and uses annotations and deep learning models in an active learning loop.&amp;lt;/em&amp;gt;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;AIDE includes a comprehensive set of built-in models, such as ResNet [1] for image classification, Faster R-CNN [5] and RetinaNet [4] for object detection, and U-Net [6] for semantic segmentation. All models can be customised and used without having to write a single line of code. Furthermore, AIDE accepts any third-party model with minimal implementation requirements. To complete the package, AIDE offers both user annotation and model prediction evaluation, access control, customisable model training, and more, all through the web browser.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;AIDE is fully open source and available under https://github.com/microsoft/aerial_wildlife_detection.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;References&amp;lt;/strong&amp;gt;&amp;lt;/p&amp;gt;
Luening’s invention in twelve tones: transcription and max patch for performance by the contemporary flutist

The purpose of this project was to provide a transcription and Max patch for Otto Luening’s Invention in Twelve Tones. Composed in 1952, Invention in Twelve Tones was presented at the first public concert of electroacoustic music in the United States at the Museum of Modern Art in New York. Luening’s original work was prerecorded without a score, and he presented the premiere to the audience via audiotape. The transcription and Max patch are used in conjunction for performance of Invention of Twelve Tones. This project serves to make Invention in Twelve Tones accessible for live performance by a trio of flutists on piccolo, C flute, and bass flute. Included in this dissertation is information about Otto Luening, a Max patch to be used in performance, a performance guide to set up the patch, and a printed transcription of Invention in Twelve Tones. Background information for the project was collected primarily through readings on Otto Luening, the history of electroacoustic music, and study of the original manuscript and subsequent recordings.
R tutorial: subsetting data, random numbers, and selecting a random sample

In working with datasets, we often want to look at a subset of our data. This may be to make our data more manageable or just to focus on a specific subgroup. In this chapter, we look at how we are able to look at individual subjects or individual variables using R. This can be done in a variety of ways, including looking at individual rows within a data frame or subsets of an individual variable. Further, we discuss how numbers are randomly generated in R and how these values can be used to help select random samples from data frames.
Investigating The Influence of Virtual Reality Technology in Teaching and Learning: From Perception of Nigerian Junior High School Students

It was relevant to investigate integrating virtual reality technology and education teaching, claiming that VR technologies are essential for teaching and learning.Therefore, the study was conducted in Abuja, Nigeria, to assess how much VR technologies could be practical tools to improve teaching and learning at the junior high school level from learners' perspective.Fifty-six students were randomly selected from 5 public junior high schools to use VR goggles to play games, watch videos, and see photograph contents based on virtual environments.As a result, it was discovered that the participants expressed a high level of appreciation of VR applications which could be attributed to the fact that more than three-quarters of the participants had never previously tried them either for educational or entertainment purpose.Moreover, based on their experience, an overwhelming majority of the participants ultimately agreed that VR technologies as instructional tools would be very effective in visualizing abstract concepts for practical understanding, making learning more interactive, encouraging active participation rather than passivity, and making learning more exciting and fun.
LibGuides: Digital Academy: Podcasts

A series of Podcasts from the Library Team on various aspects of the service with helpful tips and practical advice.
Why exceptions are a bad programming feature

Exceptions are an outgrowth of lack of knowledge, that counter the essence of design, and needlessly add complexity. What they purportedly address in their general usage can be handled by simpler, more basic, means. (1266 words)
Research Guides: Library and Learning Commons (LC) Item Requests: User Agreement

This guide provides information on requesting, picking-up, setting-up, and returning borrowed items from the Library and Learning Commons.
Metallogeny of the Zahedan-Nehbandan magmatic belt and implications to porphyry Cu exploration in southeastern Iran

&amp;lt;p&amp;gt;The Late Cretaceous to Eocene Sistan suture zone in southeastern Iran separates the Lut continental block in the west from the Afghan continental block in the east. A major belt of Oligocene to Miocene igneous rocks occurs between the cities of Zahedan and Nehbandan, stretching for ~200 km from south to north parallel to the border with Pakistan and Afghanistan. Known porphyry Cu mineralization is associated with the intrusions and intrusive complexes at Kuh-e Janja (16.5+2.0 Ma), Kuh-e Seyasteragi (19.2+ 1.4 Ma), Kuh-e Assagie (27.5+2.0 Ma), and Kuh-e Lar (32.8+3.0 Ma).&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Small intrusions and intrusive complexes in the Zahedan-Nehbandan magmatic belt are mostly intermediate to felsic in composition and have calc-alkaline or shoshonitic affinities. Associated volcanic and volcaniclastic rocks are common. The igneous rocks are hosted by deformed late Cretaceous to Eocene flysch sequences that formed in the Sefidabeh forearc basin developed during the subduction and closure of the Sistan ocean. The geochemical composition of the intrusive rocks and their ages suggest that igneous activity and related mineralization in the Zahedan-Nehbandan magmatic belt may have formed as a result of post-collisional processes. The locations of the intrusive centers in the Kuh-e Assagie and Kuh-e Lar may be controlled by strike-slip faults, which are major post-collisional structures.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The recent discovery of the Janja porphyry Cu-Au-Mo deposit below Quaternary alluvial terraces highlights the exploration potential of the Zahedan-Nehbandan magmatic belt. In addition to post-collisional porphyry deposits, other deposit types such as skarns, polymetallic veins, or epithermal deposits may be hidden below the regionally extensive Quaternary cover.&amp;lt;/p&amp;gt;
Masjid Al-Musannif: Lambang Keberagaman di Kota Medan

This article discusses the architecture of the Al-Musannif Mosque which is located in the Cemara Asri complex, Medan. Al-Musannif Mosque is one of the most famous mosques in Medan City. This study uses a qualitative research method with a descriptive approach. Al-Musannif Mosque is a mosque founded by one of the well-known businessmen in the city of Medan named H. Anif Shah. This mosque was founded after H. Anif Shah experienced a spiritual incident during the pilgrimage. This mosque comes with a domed architectural design, which combines various cultures in its architecture, such as: Malay, Arabic, and European. This mosque has a large courtyard, and is often used as a place to carry out religious and social activities. Until now, the Al-Musannif Mosque is one of the mosques that is often visited by residents of the city of Medan.