Reviewerly/exHarmony huggingface dataset:
An Efficient Weighting Method for Human Face Identification

Face recognition technology is getting broadly used in different security applications. Face detection from a photo picture and face identification to search a correct person from a face database are the 2 major steps in face recognition technology. Retrieve facial characteristic points after a serious image processing during face detection phase.In this paper, an efficient weighting method for face identification on the retrieved facial characteristic points is proposed for matching the correct person from a human face database and it is proved that the time complexity is O(log N), where N is the number of faces in the database. The experimental results are presented with accuracy rate more than 91% with only one face picture exists and over 94% for existing two face pictures.
Faster Gradient-based NAS Pipeline Combining Broad Scalable Architecture with Confident Learning Rate.

In order to further improve the search efficiency of Neural Architecture Search (NAS), we propose B-DARTS, a novel pipeline combining broad scalable architecture with Confident Learning Rate (CLR). In B-DARTS, Broad Convolutional Neural Network (BCNN) is employed as the scalable architecture for DARTS, a popular differentiable NAS approach. On one hand, BCNN is a broad scalable architecture whose topology achieves two advantages compared with the deep one, mainly including faster single-step training speed and higher memory efficiency (i.e. larger batch size for architecture search), which are all contributed to the search efficiency improvement of NAS. On the other hand, DARTS discovers the optimal architecture by gradient-based optimization algorithm, which benefits from two superiorities of BCNN simultaneously. Similar to vanilla DARTS, B-DARTS also suffers from the performance collapse issue, where those weight-free operations are prone to be selected by the search strategy. Therefore, we propose CLR, that considers the confidence of gradient for architecture weights update increasing with the training time of over-parameterized model, to mitigate the above issue. Experimental results on CIFAR-10 and ImageNet show that 1) B-DARTS delivers state-of-the-art efficiency of 0.09 GPU day using first order approximation on CIFAR-10; 2) the learned architecture by B-DARTS achieves competitive performance using state-of-the-art composite multiply-accumulate operations and parameters on ImageNet; and 3) the proposed CLR is effective for performance collapse issue alleviation of both B-DARTS and DARTS.
The Library: IT & Digital Skills: Academic IT skills

Leeds Beckett University Skills for Learning Topic Guide covering IT and digital skills Leeds Beckett University Skills for Learning guide covering IT and digital skills. This page is about digital literacy, IT self-study booklets, Excel, Word, Word dissertation guide, Powerpoint, Publisher, posters with Publisher and MindView.
CHILDREN’S STORIES: REALITY AND CULTIVATION

CHILDREN’S STORIES: REALITY AND CULTIVATION  Abstract: The purpose of this study is to examine the reality and cultivation of children's stories by children and adults. Children's stories used in this study are children's novels. The method used is literary analysis in the form of a mimetic approach. Data sources are in the form of text excerpts from children's novels by children and adults. The results of the study are a comparison of reality and story development in children's novels by children and adults. In terms of reality, it is found that children's stories are imitations of children's real life interpretations as reviewed in children's characteristics. When viewed from the perspective of cultivation, children's stories written by children have simpler storyline, use many conversational texts and tend to use simple sentences. On the other hand, the storylines and sentences in children's stories written by adults are more complex, although the vocabulary used is still simple. Keywords: Children's stories, Reality, Storylines CERITA ANAK: REALITAS DAN PENGGARAPAN Abstrak: Tujuan artikel ini mengkaji realitas dan penggarapan pada cerita anak karya anak-anak dan orang dewasa. Cerita anak yang digunakan yakni novel anak. Metode kajian menggunakan analisis sastra berupa pendekatan mimetik. Sumber data berupa kutipan teks dari novel anak karya anak-anak dan orang dewasa. Hasil penelitian berupa perbandingan realitas dan penggarapan cerita pada novel anak karya anak-anak dan orang dewasa. Segi realitas ditemukan bahwa cerita anak merupakan tiruan interpretasi kehidupan nyata anak, ditinjau dari karakteristik anak-anak. Ketika dilihat dari sudut pandang penggarapan, cerita anak yang ditulis oleh anak-anak memiliki alur cerita lebih sederhana, banyak menggunakan teks percakapan dan cenderung menggunakan kalimat sederhana. Untuk cerita anak yang ditulis orang dewasa memiliki alur cerita dan kalimat lebih kompleks meskipun kosakata yang digunakan masih sederhana. Kata kunci: Cerita anak, Realitas, Alur cerita
Rancang Bangun Aplikasi Pemanggilan Pemadam Kebakaran Dilengkapi Navigasi Global Positioning System (GPS) Berbasis Android

A firefighters or commonly abbreviated to Damkar is an army in charge of fires, rescue, and overcome disasters or other events. As a helper needed in the event of a fire disaster, but not infrequently contact the firefighters is very difficult. Many of the people are struggling because they find it difficult to contact the firefighters. And not infrequently also firefighters have difficulty to get to the point of location because it is not clear the location information provided. Therefore, the firefighters application is equipped with Global Positioning System (GPS) navigation to facilitate the community in carrying out a firefighters call in the event of a fire disaster or other incident and facilitate the firefighters to get to the point where they are intended quickly and precisely. This firefighters application is built using Android Studio and uses the Google Maps Api to display maps and routes from somewhere, using the Global Positioning System (GPS) to determine the position of the user who performs the calling right now. This research generates a server that can transmit information to the firefighters that there are residents who need their help. Generate an Android application that can make calls to firefighters and display map locations as well as provide navigation to get to the point of the intended location.
Design of robust, ergonomic myoelectric handwriting prosthesis

Myoelectric prosthesis is considered as a powerful solution in solving daily life issues with upper limb amputations, since they're backed by Electromyographic technology which turns muscular activity signals into functional movements. However, picking up these signals requires electrodes attached to the surface corresponding muscles. This presents a lot of problems such as slipping and discomfort, further making positioning the sensors harder. This paper aims to design an adaptive myoelectric prosthesis, specifically dedicated for writing capable to generate handwriting from recorded forearm muscles activities using surface electrodes. It also conserves good signal quality through firm but comfortable and customizable binding to fit the amputated forearm. The proposed Myoelectric prosthesis design allows an intuitive and smooth control of the writing movement while keeping an aesthetic, human-like look.
Ontology-Based Crime Investigation Process

Crimes have been existing since the dawn of human evolution. Its existence has been a threat to the society. The ever-changing nature of crimes in the world is creating challenges to the police department as well as the investigating agencies of various wings. To keep up with the dynamic nature of crimes and the complexity of the crimes committed are being surfaced every day, and solving them became an entanglement to an investigative officer. Due to the lack of perception or human error in judging an object in the crime scene as a potential evidence, many crimes over the decades took so many years to solve and some remained a mystery. The paper presents state of the art for ontologies-based approaches that will try to help certain investigative officer in not only piling up the evidences collected but also draw out a pattern that might suggest him the approach to solve the case in no time. This system focusses mainly on organized crimes due to most of the unsolved crimes that were being a part of it.
Can students be the catalyst in digital education in agriculture and allied fields for food and nutrition security

Today in the age of Information and Technology, students of the College are usually found using social sites in their daily living. A study conducted with 200 college students (100 boys and girls each) from College of Agriculture and College of H012ome Science respectively by stratified random sampling by Drawing sample of 25 college students from each year (1-4th year). An questionnaire designed to elicit information on the profile of the college students and their social networking behaviour was studied. The data analysed on Microsoft excel found that the parents of the students were literate with majority of the parents being higher secondary educated, monthly income below 25000 (38.5%). The social sites used by college students were What’s app (43%), Facebook (36%), Twitter (16%). Students used the social sites for socialization i.e., maintaining relationship (18%), for career (26.5%), connect with friends (20.5%), Post political opinions (16.5%). The frequency of use of sites reported to be permanently connected (33.5%), Several times a day (29%), 1-3 times a day (15.5%), 4-5 times a week (9.5%), Rarely (12.5%). The findings of the study suggest that the interest of college students towards the utilization of digital media to be connected with the community and the world should be well utilized to promote and educate rural youth and women. The behaviour and inclination of the College students towards use of social media frequent and wider connectivity can be tapped to provide digital education to rural people and farming community to enhance food security through promoting benefiting activities in agriculture and allied field.
Beneficios de las TIC en educación presencial pregrado y posgrado

It is important that face-to-face university education uses other tools as a teaching method for the teacher that generates educational innovation in the classes, where their students feel engaged in the development of the work and that, at the same time, they can provide advice or feedback. of these in virtual form, making good use of the times for mutual benefit, where the approach and availability is total, coordinating spaces and more flexible schedules for both students and teachers.
Correcting Polarization Degradation in Free-Space QKD Systems

Prepare-and-measure quantum key distribution (QKD) schemes with polarization encoding require the minimization of polarization degradation, i.e., undesired variations in the state of polarization, in the transmitter and receiver designs. In particular, the polarization extinction ratio (PER) should be maintained as high as possible to reduce the quantum bit error rate (QBER). In this paper, we analyze the polarization degradation and its correction in the design of free-space QKD systems. The polarization of a wavefront can be degraded in two different ways: uniformly, or non-uniformly; the latter known as polarization aberrations. While uniform polarization degradation of the beam wavefront can be easily corrected with standard retardation plates, polarization aberrations are more complex and require a different correction approach. BB84 diagonal linearly-polarized states are especially affected by polarization degradation as they are reflected off certain optical elements, and its correction is essential to achieve a low QBER. We have experimentally characterized the polarization degradation in a QKD transmitter and its impact in the QBER and achieved an almost perfect correction of the diagonal linearly polarized states when choosing a specific optical design.
Implementation and evaluation of a trust model with data integrity-based scheduling in cloud

To address the cloud challenges, data integrity plays a vital role and provides accuracy and consistence of the stored data without modified. This work suggests a trust based min-min and max-min heuristic scheduling algorithms as several unknown parties or enterprises provide various services. The min-min and max-min is based on the completion time and execution time only. Hence, the trust factor is added to the conventional min-min and max-min algorithm along with the completion and execution time to support security and integrity in cloud. The specific characteristics of security within the cloud environment are assured using trusted third party (TTP). A trust evaluation model is presented as a solution which makes use of security mesh inside which the required trust is maintained.
Program algebra for QIF

One of our principal aims in this work is to extend the reliable derivation of implementations from specifications –so long pursued in other areas like functionality, concurrency and probability– to include security as well, and in particular quantitative security.
A study on role of information and communication technology (ICT) in agriculture development of Patan district

Today India is passing through the phase of communication revolution, which has brought about a significant growth of media in mass communication. It has become an important part of development initiatives in health, nutrition, agriculture, family planning, education, community economy and world empowerment. There are many ways in which Information Technology can be used to exchange the information rather effective communication like information kiosks which provide not only the basic services like email, helps in education, health services, Agriculture and Irrigation, online trading, community services etc. The present study aims to study the agriculture development with the emergence of the new communication technology. The study is being undertaken to know how agriculture development is possible through an effective communication tools that is ICT (Information and Communication Technology). ICT includes communication device or application, encompassing cellular phones, computer, internet and network hardware and software, satellite systems and so on, as well as the various services and applications associated with them, such as videoconferencing and distance learning. Therefore, the present investigation was undertaken to study about how the use of ICT helps in agricultural development in rural areas. For the present study for knowing the use of ICT among the farmers, Patan district of Gujarat is being chosen. The study was conducted on local farmers and agents of seeds company ICT experts and age group from 20 years to 55 years.
Research on Team Strategy Based on Data Mining and Visualization

Football is known as “the world's number one sport”.  The victory of a football game requires the tacit cooperation of the team in addition to the individual's outstanding performance.  We analyze the passing data from the perspective of time and space. First, we set up a passing network, describing network parameters with network density, grid distance, and degree centrality.  Second, we use the weights of edges in the network and the centrality weights of nodes to identify network patterns, and pass nodes that exceed the threshold to identify whether the team configuration is dyadic or triadic. From the perspective of time, the number of passes per minute represents the rhythm of the game, and the number of consecutive passes per minute represents the degree of interference from the opponent. We analyze the rhythm and opponent’s influence to Huskies in games. From the perspective of space, we plot the passing trajectories of the first half and the second half in 2 games, and use clustering to obtain the habitual passing area of the Huskies. Finally, we analyze Pass flexibility to the team.
LibGuides: NYCDOE High School Science Research Pathways LibGuide: Club Operations: Club Guide, Marketing & Recruitment, and Logistical Planning

This is the LibGuide for the High School Science Research Pathways Program. This page contains Word and PDF versions of the High School Science Research Pathways Program Club Guide.
Embedded Design of Human Motion Physiological Parameter Collector

In the real-time acquisition of human body motion physiological parameters, the data will be collected back to the processor, guiding the exercise physiological parameters for adaptive correction. A method of human motion physiological parameter acquisition system is proposed based on embedded design. TMS320VC5409A DSP chip is used as the core processor. The hardware modularization design of the human body motion physiological parameter collector is carried out in embedded ARM. The collector is mainly divided into sensor module, signal processing module, embedded integrated control module and human-computer interaction module. A realistic geometric model of human motion is generated in 3DS Max software. In the forward channel, various signals are converted into electrical signals, and the sensor nodes are arranged under the embedded Linux kernel. The information sampling of human motion physiological parameters is realized, and the man-machine interaction and interface design based on PCI VXI ISA bus interface are carried out, and the embedded integrated design of human body motion physiological parameter collector is realized. The test results show that the designed collector can collect human body motion physiological data, the reliability of the system is high.
Activating Students to Speak English by Using ELTIS Resource Pack

Students are mostly talkative outside the classroom, but in English class, they are more apathetic. This research aims to examine how English Language Training for Islamic Schools (ELTIS) resource pack is able to activate students’ to speak English. This research is designed as Classroom Action Research (CAR) which is specific to collaborative action research. The subjects of this research are 25 students of the eighth class of MTs Pacongan Pinrang in the academic year 2019/2020. Instruments of the research test, observation checklist, and interview. The test aims to gain quantitative data, while the observation checklist and interview aim to gain qualitative data. The result finds that the use of various media available in ELTIS Resource Pack activates students to speak English. A variety of learning media reduces students’ boredom and engages students during the learning process enthusiastically.
Motion Behavior Feature Segmentation Based on Intelligent Vision

In order to improve the ability of 3D virtual reconstruction and recognition of motion behavior features, human motion behavior features are extracted and segmented. A motion behavior feature segmentation algorithm based on intelligent vision analysis is proposed. The motion behavior feature image is collected and analyzed under multimedia vision, and multi-scale Retinex corner selection is carried out for the acquired motion behavior feature image. The method of 3D dynamic tracking recognition is used to analyze the dynamic image of motion behavior feature, and the histogram distribution feature fuzzy learning method is used to realize the 3D dynamic tracking recognition of motion behavior feature. The motion behavior feature segmentation is realized by analyzing the dynamic characteristics of the motion behavior feature combined with the three-dimensional motion manifold feature. The simulation results show that, this method can improve the intelligent judgment and detection ability of the moving image, and the feature expression ability of image segmentation is strong, and the performance of template matching is better.
Penggunaan Algoritma Support Vector Machine (SVM) Untuk Penentuan Kelayakan Pemberian Kredit Koperasi Serba Usaha “Daruzzakah Zakah” Desa Rensing Kecamatan Sakra Lombok Timur Nusa Tenggara Barat

Credit is the main product of savings and loan cooperatives to increase profitability. The greater the credit issued, the greater the benefits obtained by cooperatives. Each cooperative will package credit products in such a way as to attract the attention of every customer. However, cooperatives can find problems in the process of lending, such as the "Daruzzakah Rensing" Cooperative located in "Desa Rensing, Kecamatan Sakra Barat, Lombok Timur-NTB-Indonesia". The main products of the Cooperative "Daruzzakah Rensing" are savings and loans. In distributing credit, the cooperative always decides based on statistical data. This data is sometimes not useful if the supporting methods used to predict and classify the data are not appropriate. Therefore, this research requires a method that can classify and predict problematic and non-problematic customers. To answer this question, using the SVM (Support Vector Machine) algorithm to find out the level of accuracy in analyzing creditworthiness proposed by prospective debtors. The SVM algorithm is used to predict, classify, evaluate, and analyze credit. From the results of data processing carried out using the SVM algorithm (Support Vector Machine), it can be categorized as an excellent method, with an accuracy of 90.42% and AUC at 0.957. Accuracy of 90.42% means the SVM algorithm can provide decisions about feasible or not feasible in granting credit to customers who apply for loans. DOI : 10.29408/jit.v3i1.1814
ВИЗНАЧЕННЯ ОБЛАСТІ КЕРОВАНОСТІ ПОТОКІВ В АВТОНОМНИХ ПІДГРАФАХ ДЕКОМПОЗОВАНОЇ ІНЖЕНЕРНОЇ МЕРЕЖІ

One of the most effective approaches to the solution of problems of mathematical programming in the context of a large dimensional-decomposition approach is considered, according to which the solution of the main problem is replaced by the solution of subtypes of smaller size. Democratic methods in solving problems of large size give an opportunity to provide a rational mode the exchange between the operational and external memory (when solving each individual subtask, only part of the input or intermediate data is used). As a rule, the solving of smaller tasks the size is less laborious from the calculated point of view, because the decomposition methods provide the dismemberment of the input problem to a number of simpler tasks, which allows to increase the efficiency of solving large-dimensional problems by conventional methods, using them within the framework of decomposition. The proposed decomposition algorithm for calculating the domain controllability of network flows, which decomposes into two subsystems, connected by one arc.
Predicting

We explore the use of real-time clinical information, i.e., text messages sent between nurses and doctors regarding patient conditions in order to predict transfer to the intensive care unit(ICU). Preliminary results, in data from five hospitals, indicate that, despite being short and full of noise, text messages can augment other visit information to improve the performance of ICU transfer prediction.
T-S fuzzy observers design and actuator fault tolerant control applied to vehicle lateral dynamics

In this study, we present a method for estimating actuator faults along with a technique of fault-tolerant control (FTC) based on fuzzy observers for continuous Takagi-Sugeno (T-S) fuzzy models, which are affected by modelling disturbances and actuator faults. The stability analysis is based on the quadratic function of Lyapunov and resolving a convex set of linear matrix inequalities (LMIs). The purpose is to ensure the asymptotic stability of the system states and to compensate for the impact of disturbances and actuator faults. Ultimately, numerical simulations on the vehicle lateral dynamics model exemplify the efficiency of the proposed control and the fuzzy observers' design procedure.
LibGuides: LibrarySkills@UCL: Pre-arrival

Our guides, training and support enable you to develop your library and information literacy skills and make the best use of UCL’s libraries and resources.