Reviewerly/exHarmony huggingface dataset:
LibGuides: The Rainbow Classroom: Educational Resources on the LGBTQIA+ Community in California and Beyond: The FAIR Education Act: A Brief Explanation & Resources

This subject guide is designed to provide information on the history of the LGBTQIA+ community within the state of California for current and future educators to incorporate into their curriculum. This page is intended to outline the FAIR Education Act and related resources.
Machine Learning for Software Bug Categorization

The pursuit of flawless software is often an exhausting task for software developers. Code defects can range from soft issues to hard issues that lead to unforgiving consequences. DICE have their o ...
Knowledge Graph Empowered Entity Description Generation.

Existing works on KG-to-text generation take as input a few RDF triples or key-value pairs conveying the knowledge of some entities to generate a natural language description. Existing datasets, such as WikiBIO, WebNLG, and E2E, basically have a good alignment between an input triple/pair set and its output text. However in practice, the input knowledge could be more than enough, because the output description may only want to cover the most significant knowledge. In this paper, we introduce a large-scale and challenging dataset to facilitate the study of such practical scenario in KG-to-text. Our dataset involves exploring large knowledge graphs (KG) to retrieve abundant knowledge of various types of main entities, which makes the current graph-to-sequence models severely suffered from the problems of information loss and parameter explosion while generating the description text. We address these challenges by proposing a multi-graph structure that is able to represent the original graph information more comprehensively. Furthermore, we also incorporate aggregation methods that learn to ensemble the rich graph information. Extensive experiments demonstrate the effectiveness of our model architecture.
LibGuides: K-12 Learning at home during COVID-19: For younger kids

This library guide outlines resources used to support BC K-12 curriculum-focused learning in home settings.
LibGuides: Student Created LibGuides: Home

Senior Thesis, Internships, Directed Studies and more. All opinions within these LibGuides are those of the students, not the Institution.
A QoS-aware virtual resource pricing service based on game theory in federated clouds

Recently, federated cloud platform has become a promising paradigm to provide cloud services for various kinds of users in a distributed manner. To compete for cloud users, it is critically important for each cloud provider to select an optimal price that best corresponds to their service qualities as well as remains attractive to cloud users. In this paper, we first formulate the pricing strategy of individual cloud provider as a constrained optimisation programming problem to analyse the behaviours of both cloud users and cloud providers. Then, we present game-based model which introduces a set of virtual resource agents to help providers adjusting their prices with aiming at achieving a global optimal solution. Theoretical analysis is present to prove the validity and effectiveness of the proposed game model, and extensive experiments are conducted in a real-world cloud platform to evaluate its performance. The experimental results show that the proposed pricing model can significantly improve the resource revenue for cloud providers and provide desirable quality-of-service (QoS) for user tasks in terms of various performance metrics.
LibGuides: LIS511-Spring 2020-Music of Hawaii / Hawai‘i: Sheet Music/Musical Instruments

The Music of Hawaii / Hawai‘i LibGuide offers an overview of resources pertaining to Hawaiian music, with an emphasis on resources that are accessible online.
Photon mapping to accelerate daylight simulation with high-resolution, data-driven fenestration models

Data-driven modelling provides a general means to represent optically complex fenestration in daylight simulation by its Bidirectional Scattering Distribution Function (BSDF). Radiance employs the tensor tree as a compact data structure to store the BSDF at high directional resolution. The application of such models under sunny sky conditions is, however, computationally demanding, since the density of stochastic backward samples must match the BSDF resolution. The bidirectional Photon Map is proposed to rapidly forward-sample the BSDF, starting from the known sun direction. Its exemplary application shows a potential speed-up of ≥ 98% when compared to backward ray-tracing.
The Development of Information Systems for Measuring Student Performance at MTs Al-Azhar Paseseh Tanjung Bumi

Education becomes a compulsive program set by the government by implementing a 12-year compulsory education to improve human resources in Indonesia. A part of primary education concerns and results from measurement of student performance, that we call it school report cards. The main aim of this research is to build a school grade information system to help teacher and the homeroom teacher in input school report cards. Development of this system has built by applying the waterfall model. Data obtain to making this system, we use two elicitation techniques, questionnaire and interview technique. The advantage of this system is that our system didn’t need use online and all data will stored in a database and can print as a report. To get the data used in making this system, we used two elicitation techniques namely questionnaire and interview techniques. The advantage of this system is that our system does not need to be used online and all data will be stored in a database and can be printed as a report. Another benefit gained is that all teaching staff, both permanent teachers (PNS) or non-permanent  teachers can  use the system
Construction of Concept Graph for Education Domain

Inspired by vast applications of data graph and the ever increasing demand in education domain, we would propose a system, to automatically construct Concept graph for education domain. Concept graph is an integrated information repository that interlinks heterogeneous data from different domains. By leveraging on heterogeneous data (e.g., pedagogical data and learning assessment data) from the education domain, this technique ﬁrst extracts concepts of subjects or courses, and so identiﬁes the tutorial relations between concepts. More speciﬁcally, it adopts the Wikipedia web page crawling on pedagogical data to extract instructional concepts, and employs comparison between two chapters of the subject input data to spot the relations with educational signiﬁcance. We detail all the above efforts through an exemplary case of constructing a demonstrative concept graph for a selected subject, where the educational concepts and their prerequisite relations are derived from curriculum standards and concept based performance data of scholars. It would not only be helpful in the Education sector but anywhere where learning is a task.
Application of Particle Swarm Optimisation-R Factor Optimisation Algorithm for Efficient Resource Allocation and Scheduling in Cloud Environment

Cloud computing is a powerful technology of computing which renders flexible services anywhere to the user. Resource management and task scheduling are essential perspectives of cloud computing. One of the main problems of cloud computing was task scheduling. Usually task scheduling and resource management in cloud is a tough optimization issue at the time of considering quality of service needs. Huge works under task scheduling focuses only on deadline issues and cost optimization and it avoids the significance of availability, robustness and reliability. The main purpose of this study is to develop an Optimized Algorithm for Efficient Resource Allocation and Scheduling in Cloud Environment. This study uses PSO and R factor algorithm. The main aim of PSO algorithm is that tasks are scheduled to VM (virtual machines) to reduce the time of waiting and throughput of system. PSO is a technique inspired by social and collective behavior of animal swarms in nature and wherein particles search the problem space to predict near optimal or optimal solution. A hybrid algorithm combining PSO and R -factor has been developed with the purpose of reducing the processing time, make span and cost of task execution simultaneously. The test results and simulation reveals that the proposed method offers better efficiency than the previously prevalent approaches.
LibGuides: Pandemic Library Pedagogy: First Year Experience

Adjusted Perspectives, Outcomes, Assessment, Design, and Instruction during prolonged periods of remote work. currently in design phase
Security and Privacy in Fog Computing Based on Multiparty Computation Using Smart Grid for Privacy Protection

A smart grid is the electrical grid of the future, adding a communication network to the traditional electrical grid infrastructure. This allows bidirectional communication between the different entities and components of the grid, facilitating automated grid management. The overall aim is to make the electrical grid more reliable and efficient. This paper design a secure and privacy-preserving protocol for collecting operational metering data, which is required for calculating distribution, transmission, and imbalance fees. Our protocol uses Multiparty Computations (MPC) as the underlying cryptographic primitive and supports three different privacy-friendly data aggregation algorithms. Additionally, it supports realistic system models (with multiple data recipients of aggregates of various subsets of users' metering data); it is fault-tolerant; it is applicable to existing liberalized market models, and it also supports electricity production data generated by users. In this paper, the cloud-fog based system model is proposed to tackle delayed responses and permanent storage of consumers' data for energy demands. In the system model, the requests of energy are received on HPF to get processed and responded back in near-real-time instead of processing on the Cloud.
LA-ICPMS原位微区面扫描分析技术及其矿床学应用实例 (Laser ablation-inductively coupled plasma mass spectrometry (LA-ICPMS) elemental mapping and its applications in ore geology)

With the development of two-dimensional trace element mapping by laser-ablation inductively-coupled-plasma mass spectrometry (LA-ICP-MS), it is now possible to reveal in much greater detail any compositional interior textures of the pyrites, thus permitting the investigation of the history of pyrite crystals and providing new insight into the genesis and evolution of mineralisation. Exploiting the advantages of high spatial resolution, low detection limits, and capability of full quantification, LA-ICP-MS elemental mapping is being widely applied to imaging sulphides from various types of deposits. In this study, we applied the LA-ICP-MS elemental mapping technique on pyrites from different types of deposits from China and Canada, for the purpose of monitoring the changes of physio-chemical condition, defining ore genesis, and revealing the distribution patterns of precious metals. The interior compositional textures of pyrites show that the mineralization system of the Bayinwula roll-front U deposit in Inner Mongolia was open and continuously affected by the re-charge of oxidized groundwater, along with a periodic change of pH and Eh that affected the activities of sulphate bacteria and the associated U mineralization. The trace element maps of pyrites from the Zhenzigou Pb-Zn deposit in Liaoning Province indicate that several episodes of fluids were involved and responsible for the mineralisation, namely, an early stage of syn-sedimentary origin and a late hydrothermal mineralisation related to the Yanshanian magmatic activity. The trace element distribution patterns of pyrites from the Palaeoproterozoic placer Au deposit in Canada showed that the subeuhedral-euhedral pyrite, which s a dominant type of pyrite n the conglomerates, is detrital origin and ater modified by hydrothermal (or metamorphic) fluids, and Au is mostly associated with the detrital pyrite grains/cores, and disseminated in the porosity on the surface.
Preparation and characterisation of mango bark and mango leaf nanoparticles for lubrication

Nanoparticles are the simplest form of structures with sizes in the nanometre range (<100 nm). Suspended nanoparticles (non-bio) in base fluids (nanofluids) increase the heat transfer properties of the base fluids. However, addition of nanoparticles to the base fluid increases viscosity as well as pressure drop. It is also expensive to produce non-bio nanoparticles. Thus, mango barks and leaves were used to produce bio nanoparticles due to their natural characteristics that might lower viscosity of the nanofluid. The mango bark and mango leaf were collected and dried under hot sun to remove moisture content until constant weight achieved. Then, the materials were crushed and sieved to obtain finest powder followed by wet grinding for 1 hour at 800 rpm using FRTSCH Planetary Micro Mill PULVERISETTE 7 premium line. The particles size was determined using FESEM and particle size analyser machine. The bulk density of the nanoparticles was determined by experiment. The obtained results showed that the mango barks have lost total weight of 504g (63%) after 8 days of drying. Meanwhile, mango leaves have lost total weight of 606g (78%). The bulk density of mango bark nanoparticles is 2505.00kg/m3 and mango tree leaf nanoparticles is 2108. 00kg/m3. From image analysis using FESEM, the average size of mango bark nanoparticles is around 102 nm and mango leaf nanoparticles was around 132 nm. From particle size analyser, the average fineness of mango bark nanoparticles measured by intensity was 125.5nm and mango leaf nanoparticles was 206.1nm. In conclusion, the mango bark and mango leaf nanoparticles can be synthesised by wet grinding method.
UIC IRS 90940 - SFERA Launch – UIC - International union of railways |Events

Update 7th of July 2020: The in-person launch event is postponed to 2021. The IRS 90940 is now available for download in UIC ETF shop: https://www.shop-etf.com/en/data-exchange-with-driver-advisory-sy
On using web interfaces to analyze mobile device movements

In this paper, we consider the algorithms for using web interfaces for analyzing the movements of mobile devices, and we also developed and implemented an algorithm for such a movement analysis with a user interface. The task is to create some universal JavaScript library that can be used in mobile web applications. The library used web interfaces to access device movement data. to analyze the movement of a mobile device. An algorithm for determining displacements, based on a comparison of the similarity of time series, is proposed and implemented. The analysis of the properties of the proposed algorithm is carried out. At this stage, the algorithm can with high probability detect the movement of the telephone for predefined sets of movements. To implement the algorithm, the latest standards of web programming languages and development technologies were used. Experiments were conducted on a real mobile device and conclusions were drawn on the implementation of the constructed algorithm. Using the web interface will allow you to apply the developed algorithm both in browser applications on mobile phones and in mobile applications that use web technologies in their source code. The developed algorithm does not depend on the platform of a specific mobile device, since the web interfaces used are supported in most existing mobile web platforms.
Artificial Intelligence Oriented Security System Using Alexa

An Amazon Alexa and Raspberry Pi that enables a user to grasp World Health Organization specifically is knock at their door mistreatment biometric authentication. “Alexa, World Health Organization is at the Door?” is associate Amazon Alexa talent set that utilizes Raspberry Pi in conjunction with a biometric authentication API to allow you to apprehend World Health Organization is knock at your door. After Alexa gets the approval to require an image of the visitor’s face, it sends a command to the Raspberry Pi to require an image of them victimization the camera module. the image is then processed through a automatic face recognition that then determines whether or not or not the face is recognized, unknown, or not there in the least. when Alexa is tutored a replacement face, the person is given a reputation or ID by the user that is then saved within the information. It is re-taught many times in every occasion that the visitant involves your home. This way, the visitor’s face is recognized in numerous conditions like brightness, darkness, or a small modification in look of the individual. This conjointly improves Alexa’s speed at that she acknowledges every new friend that’s more to the information. This undertaking is planned to be an entire framework for face acknowledgment: easy to make, ease cost and compelling. Primary object is to be set as A caution for home visitors and supply information concerning the guests during a dynamic site and telephone application. It might be used in elective fields like businesses, workplaces and even air terminals for particular wished people. Among the inverse biometric strategies, face acknowledgment approach offers one decent favorable position that is ease of use.
LibGuides: K-12 Learning at home during COVID-19: Social Studies

This library guide outlines resources used to support BC K-12 curriculum-focused learning in home settings.
LibGuides: General Information Management: Background Information

This guide is for the NCU specialization General Information Management. It contains resources available in the NCU Library.
Clustering of Food Security Status in South Sumatera Using Fuzzy C-Means Algorithm

Food security is defined as the condition of food to satisfy every society which reflected in the availability of sufficient food, a good number and quality, secure, equitable, affordable, and based on the diversity of local resources.According to data from BPS South Sumatera, the percentage of poor population also half-poor family is still high.This shows existence of barriers to accessing food and there are still gaps in distribution of food as well as food consumption inequality according to socio-economic groups and regions.Clustering food security area or food insecurity area in South Sumatera is very necessary because the condition of food availability at each region varies every time, depending on the results of food production and the factors which affected it.In this research, the methods which used for data clustering is Hybrid fuzzy C-means (FCM).From the results of testing using Davies Bouldin Index (DBI), obtained data that food security in South Sumatera is suitable to be cluster into three clusters, which are food secure, enough food and food insecure, where each cluster contains: 1 (one), 8 (eight) and 5 (five) region in South Sumatera.The results of cluster are expected to be used as one of the information for the Government of South Sumatera to plan strategies which effective and efficient with conditions related to food security.
Clamshells Energy Melalui Metode Elektrolis Dalam Memenuhi Kebutuhan Listrik Masyarakat Pesisir

All activities are carried out essentially in need of human energy. The availability of energy including electricity is a very important element, as well as the need to support sustainable national development. Related problems of energy, an area that has not been much teraliri power is the coastal region. Indonesia is an archipelago geographically with two thirds of the vast ocean bigger than the Mainland. The existence of the beach at nearly every island in Indonesia (± 81,000 km) which made Indonesia as the country with the second longest coastline in the world. At UU RI No. 27 Year 2007 about management of the coastal areas and small islands, in law is intended regarding planning, utilisation, supervision, and control of the Natural Resources of coastal and small islands. People who live in the island, it is very far from the power plant, owned by PLN. Data from the Ministry of Internal Affairs of INDONESIA declared Indonesia has 17,504 Islands, of which there are 6000 island inhabited community. With the new alternative energy, expected to coastal communities can support the Nawa. Electrical energy derived from shells (Clamshells) is able to be used as alternative energy needs, overcome electrical get hooked for coastal communities. Coastal areas are likely to be met by waste shells, shells even just be discarded waste not utilized by the community around the beach and just left. Shells which is a compound of CaCO3 can be extracted through methods of electrolysis is reacted with a compound with HCl in order that formed the compound CaCl2. The compound result of the reaction of then in electrolysis to get the compound Ca. Reactions that happen to produce ions that can produce electricity with Electrodes. From the results of this research are able to create alternative energy, while reducing the pollution of waste shells on the coast are able to produce a sufficient amount of energy and marine resources to support economic development and the welfare of fishermen coastal communities.
Classification of Authors for a Recommendation Process Integrated to a Scientific Meta-Search Engine

The search for scientific production on the web has become a challenge, both in terms of volume, variety and updating speed. It requires tools that help the user to obtain relevant results when executing a query. Within these tools, this team has developed a specific meta-search engine for the area of computer science. In its evolution, it is intended to include recommendations from authors for each of its users’ queries. The generation of such recommendations requires a method capable of classifying the authors in order to define their inclusion and position in a list of suggestions for the end-user. This paper presents a method that fulfills this objective, after being evaluated and having obtained results that allow to propose its inclusion in later development of the recommendation system.
Cryptographically Enforced Dynamic Access Control and traceable group data sharing in the Cloud

Now a day’s people are using their smart phones for various purposes like uploading data, sharing data, use of online services, etc. along with their primary functions. But the problem with smart phones is that they are having limited computational and storage resources. Use of cloud computing in a mobile computing environment solves this problem which also increases the capacity of mobile devices. But the major concern about the use of cloud is the security issue which also becomes the problem in the mobile cloud computing environment. We proposed a light-weighted cryptographic mechanism a proxy re-encryption to solve the data integrity, data security issues in which users have to keep only short secret keys for all cryptographic operations in the mobile cloud without the involvement of any trusted third party. Group information sharing in cloud environments has become a boiling topic in modern decades. With the recognition of cloud computing, the way to reach secure associated economical information sharing in cloud environments is a pressing drawback to be resolved. Additionally, the way to reach each obscurity and traceability is a challenge within the cloud for information sharing. This paper focuses on sanctioning information sharing associated storage for a constant cluster within the cloud with high security and potency in an anonymous manner. By investment, the key agreement and therefore the cluster signature, a piece of unique traceable cluster information sharing theme is projected to support anonymous multiple users publically clouds. On the one hand, cluster members will communicate anonymously regarding the cluster signature, and therefore the real identities of members are traced if necessary.