Reviewerly/exHarmony huggingface dataset:
Age and Gender Based Organisation of Shelter Homes using Convolutional Neural Networks

The number of abandoned, homeless and poor people have increased drastically in the recent days. Allotting these people to different shelter home is a very difficult task because volunteers in NGO have to do all the work manually and homeless people don’t have valid documentation regarding their Age and Gender. Volunteers usually estimate the person’s Age and Gender on the basis of naked eye estimation but this estimation or prediction sometimes will not be accurate. This problematic situation can be solved by using Deep Learning algorithm like Convolutional Neural Network (CNN). So in our project, we use CNN algorithm to estimate the Age and Gender from the facial image which proves to be a challenging task for a machine due to the high extent of variability, lighting and other supporting conditions. The system proposes building a model which has multiple convolutional layers along with dropout and maxpooling layers in between. The proposed model has been trained on UTKFace dataset and Fairface dataset. The proposed system aims to produce a high accuracy in allotting the right shelter home for people under various Age and Gender. The web application also accepts donations from the users visiting the website who are willing to help the shelter home residents.
LibGuides: Library Instruction at Indiana University Northwest: Asynchronous Sessions

This is an internal LibGuide for all librarians who deliver library instruction session.Includes scheduling logistics, forms, links, help, and resources. Assessment plan for synchronous library instruction sessions (live in-person or live video)
An Efficient Bug Reports Assignment for IOT Application with Auto-Tuning Structure of ELM Using Dragonfly Optimizer

Managing bug assignments is challenging for projects that receive many bug reports, incredibly open, Web-based software, and applications relating to the IOT. These kinds of software result in many bug reports being received, and usually, it is an open bug repository that is charged with receiving them. Focusing on IOT in particular, once a bug is identified, it must be considered that the bug may very significantly affect the interaction between things and things across the Internet. This issue is made worse because of the increasing scale of IOT systems. A bug triage process attempts to assign each particular bug to the developer best able to provide a fix. Such an attempt means that a list of developers qualified to work on the bug must be constructed. This list should ideally be ranked according to the relative strengths of the developer's expertise. Research in this area primarily focuses on analyzing the bug description and the correlation of the bug's characteristics with each developer's known experience. This paper proposes AutoELM-BUGT as a bug triage method based on ELM classifiers using the Dragonfly algorithm (DA) to tune the ELM structure automatically. We extracted information from the bug reports and preprocessed them in our method, and used feature selection to identify the best features to create a developer rating template in terms of their expertise. Approximately 26,000 bug reports are used to evaluate our method. The experimental results show that the use of feature selection techniques and automatic tuning of ELM structure improves the efficiency of bug triages in recommending the appropriate developer to handle a specific bug report. Keywords : IOT software, developer template, bug report, extreme learning machine, bug assignment.
LibGuides: Electronic Resources: No Full Text?

This is an information guide about the Electronic Resources at NOVA Libraries. For more information, contact LTS@nvcc.edu
Pedagogical and psychological characteristics of speech-impaired children in preschool education

Speech disorders, limited speech, negatively affect the formation of the child’s personality, cause non-existent mental disorders, the peculiarities of the emotional sphere, its can lead to the development of negative personality traits. It’s all about literacy, mastery in general, a profession negatively affects the choice. The speech experience of such children is limited, language tools will not be perfect. The need for verbal communication is sufficient not satisfied. Conversational speech is poor, unspoken, with a certain situation is inextricably linked and incomprehensible outside of this situation.
Automatic Extraction of Semantic Roles in Support Verb Constructions

This paper deals with paraphrastic relations in Italian. In the following sentences: (a) Max strappo delle lacrime a Sara 'Max moved Sara to tears' and (b) Max fece piangere Sara 'Max made Sara cry', the verbs differ syntactically and semantically. Strappare 'tear/rip/wring' is transitive, fare ‘have/make’ is a causative, and piangere 'cry' is intransitive. Despite this, a translation of (a) as (b) is legitimate and therefore (a) is a paraphrase of (b). In theoretical linguistics this raises an issue concerning the relationship between strappare and fare/piangere in Italian, and that in English between move and make. In computational linguistics, can such paraphrases be obtained automatically? Which apparatus should be deployed? The aim of this paper is to suggest a pathway with which to answer these questions.
Blueprint : Mawar Enterprise Sdn. Bhd "Measuring Sets With Scale" / Afifah Allias

Measuring set with scale is shaped like spoon in our kitchen that provided a different size of spoon. The difference between this product compared to the existing measuring set is this product will have produced with scale at the holder. When the customer need weigh their ingredient, they need to spoon the ingredient and press the button at holder that have their specific function already. There are three simple button operation which are tare, mode, and hold. The size of this measuring set with scale is 2.5cm x 1.5cmx 11.5 cm for the holder. There are 3 type of cup will have provided with different size which is 5cm x 2cm, 6cm x 3cm and 10cm x 5cm.This product is easy to handle and able to effectively weigh ingredients in preparation for cooking and baking in kitchen and also diet purpose. Thus, this product is really user friendly since it is heat resistance, automatic use, durable and accurate in reading the scale. The measuring set will take few seconds to read the scale by the reading will auto hold when it reaches a stable weight and customer need to press the “HOLD” button to unlock the screen
Enhancement of automatic teller machine architecture using linear time algorithm

Human-Computer Interaction (HCI) refers to any interaction or association between a human or group of humans and a computer or machine. Human-computer interaction is sometimes known as chi (computer-human interaction). Human-computer interaction refers to the process of planning, designing, and developing human-computer interfaces, such as computer interfaces, web pages, ATM interfaces, and mobile interfaces. Human-computer interaction (HCI) is concerned with improving user-machine or computer interactions.Human-computer interaction also dealt with the design, evaluation, and implementation of computer monitors and other user interfaces.
Technology venture blueprint project name: Swift De' Velvet / Maisarah Abdul Rashid

My business is called Swift De’Velvet, which is inspired by the swift-style fashion, which is elegant but still perpetuates a charming and captivating modesty. The theme for this boutique is elegant but sweet. This boutique also provide the latest trend for women who wear hijab. My boutique main product is Women Clothes. This boutique is located in Bandar Baru Uda Business Centre in Johor Bahru. This boutique short-term achievement is to be recognized by all people throughout the country.It is certainly not denied that clothing-based commerce faces violent competition in the market today. There are various types of attraction and fashion created to win customer’s taste. Swift De’Velvet need to compete with the slow pace of global-level apparel trade so that this boutique is recognized throughout in the Malaysian population
An Implementation of First and Second Order Neural Network Classification on Potential Drug Addict Repetition

Back propagation (BP) neural network is known for its popularity and its capability in prediction and classification. BP used gradient descent (GD) method as one of the most widely used error minimization methods used to train back propagation (BP) networks. Besides its popularity BP still faces some limitation such as very slow in learning as well as easily get stuck at local minima. Many techniques have been introduced to improve BP performance. This research implements second order method together with gradient descent in order to improve its performance. The efficiency of both methods are verified and compared by means of simulations on classifying drug addict repetition. The results show that the second order methods are more reliable and significantly improves the learning performance of BP.
Research Guides: Social Science: Streaming video databases

Learn about CCC Library's services and resources to assist Social Science students. Access and learn about our streaming video resources.
Education with Digital Culture

This article presents the paradigm shift, especially in school education, under the conditions of current mediatization, whereby we understand education initially as a communicative system that is ...
Peter Hancock, Cameron O'Neill and Yuji Tokumasu (Geology)

ANU Reporter Photos - Prof. Graeme Max Neutze, Peter Hancock, Cameron O'Neill, Yuji Tokumasu & others
Aria - A VAE Model using Spectrogram for Music

Music travels in the form of sound waves and is incorporated into every aspect of day to day life through entertainment, advertisement, games etc., Music includes pitch, rhythm, dynamics, timbre and texture in its composition. With the rise in technology music can be created with the help of electronic devices to create new and unusual types of music. Even though music is available easily, when it comes to customizing music according to personal taste, a person without any knowledge in music composition cannot make music that is copyright free. We can solve this by deploying a Deep Learning (DL) model where the user can give certain inputs and generate music. We set out to build a Deep Neural Network (DNN) that would ultimately compose music by understanding music theory and creates something completely new. The architecture used in our research is Variational Auto Encoder (VAE) which is trained using spectrogram.
Study and Develop an Effective Interfaces to Upload Data into Enterprise Resource Planning System

In today’s fast-growing world, day-to-day several applications have specialized features that new features have failed to enhance the satisfaction of the customers in web interfaces and user interfaces. So when an organization goes for application change or database change or need of data from other system, they need to go for major data transfer without any data loss. In this paper, we proposed a target-based data transformation. The proposed work performs an efficient data transfer between source and designation system and ensures data transfer without any loss and with proper validation based on designation system data model.
Field demonstration of distributed quantum sensing without post-selection

We demonstrate distributed quantum sensing in field and show the unconditional violation (without post-selection) of shot-noise limit up to 0.916 dB with the averaged heralding efficiency of 73.88% for the field distance of 240 m.
ChiQat-Tutor and its Architecture

This chapter describes ChiQat-Tutor, a Tutoring System that was developed to explore the impact and effectiveness of several pedagogical strategies that were discovered in our previous analysis of human tutoring sessions. The architecture, user interface, modules and pedagogical strategies implemented in the system are presented and discussed.
Challenges in Lifelong Pathways Recommendation

Social services are notoriously complex to model and manage. It is essential to turn to mutualized systems that are tailored for the actors of these services. While examples of tools in the general public are legion today, there are still very few dedicated solutions in the social work and health sector, and even fewer offering long-term care for users. The objective of this thesis is to propose a multi-stakeholder and interactive recommendation system allowing to recommend social projects in the form of ordered set of actions, which we will qualify in this paper as lifelong pathways. This paper sets the basis of such a system and present preliminary results: (i) a tentative modeling of the system, by presenting the different actors and components, (ii) first experiments to show the complexity of this long-term composite items recommendation problem, (iii) a list of challenges that motivates the need for new solutions.
SISTEM INFORMASI MONITORING PERSEDIAAN SEPEDA MOTOR DENGAN METODE RATA-RATA BERBASIS WEB PADA PT NUSANTARA SAKTI SALATIGA

PT. Nusantara Sakti Salatiga or often referred to as NSS is an automotive company or dealer of two-wheeled motor vehicles with the Honda brand, which is located at JL. Cutting No. 100 Salatiga. This company has a very rapid development, this is evidenced in 2017 the stock inventory increased by 25%. Motorcycle inventory monitoring information system with a web-based average method at PT. Nusantara is an accounting information system created to overcome data processing problems which are still in the form of manual bookkeeping so that the data is less valid and less effective time to present reports and even data storage has not been recorded which results in easy data loss. Existing problems can be overcome by creating an accounting information system Monitoring Inventory and making a data storage information system that is valid and effective. Designing a good computerized system that is expected to assist officers in presenting reports quickly and accurately. Data collection methods used are the questionnaire method and Likert scale. The method of designing a motorcycle inventory monitoring information system is made using the methodology of R&D, Flowchat, DFD, ERD and Normalization. The program used to create this application uses the PHP and MySQL programming languages ​​as Database management.The results of this study indicate that the motorcycle inventory monitoring information system with a web-based average method at PT. The archipelago can be used to solve inventory processing problems that include data collection of data, supplier data collection, data entry of goods, data collection of goods out, and inventory using the average method can make reports that are valid, effective and efficient so that reports can be accounted for and risk error will be minimal.
Penerapan Algoritma A-star dan Brute Force pada Aplikasi Jakvel (Jakarta Travel) Berbasis Android

The city of Jakarta has several main tourist attractions that are interesting to visit. As the Capital of the State of Indonesia, it will certainly be ogled and visited by local and foreign tourists. However, there is limited information, tourists from outside the Jakarta area lack complete information on tourism in the city of Jakarta and the roads that must be taken to tourist sites, due to the number of roads and heavy traffic, this makes it a problem when you want to vacation in the city of Jakarta. Therefore, the author designed an application called Jakvel based on Android, this application provides information and looks for the shortest path to tourist sites for tourists who want to vacation in Jakarta. In this study using the A-star and Brute Force algorithms. The A-star algorithm will be applied to find the shortest path to tourist sites and the brute force algorithm is used to search for words (strings) in selecting tours. With this application, it is hoped that it will make it easier for tourists outside the Jakarta area to find out tourist information and help find the shortest path to locations in the city of Jakarta. After testing of 10 tourist sites to determine the shortest path by comparing the A-star algorithm with Google Maps based on Android, with a 70% success rate in finding the shortest path using the A-star algorithm and the results of string search testing using the Brute Force algorithm have a percentage of 100% accurate
The Representation of Indonesia Woman: Critical Discourse Analysis in Political Speech

This research attempts to investigate the idelogy contained in woman’s political speeches as a party leader. A lot of research has been done relating to political speeches delivered by men, but very little research addresses women's speeches, because only a few women are involved in politics. This study tries to examine the representation of women in displaying their rights that are delivered by women party leaders.  Qualitative content analysis was utilized as the research design. The sources of data were taken from speeches delivered by Grace Natalie the leader of Partai Solidaritas Indonesia (PSI) or the Indonesian Solidarity Party. The data were in the form of sentences and analyzed through the theory proposed by Van Dijk. Having been analyzed, it shows that political speeches were delivered as women’s speech representations to promote equality of women and to solve problems experienced by women. Then, it also illustrates the party struggle for the fate of women in Indonesia. In relation to the analysis of macrostructure, superstructure, and microstructure, the speeches can be used as a means for opinion formation, media for campaigning through diction, sentence structure, and style so that it is easy to influence listeners.
LibGuides: Industrial Technology & Management: Responsible Conduct of Research

A guide to Industrial Technology & Management (INTM) resources including research papers, articles, data, material properties, codes, standards, patents, & product information.
Truckxgaming / Mohamad Fakrul Hafiz Yahaya...[et al.]

Our business is TruckXGaming that started on 1st January 2021. TruckXGaming is about, we provide the gaming convenience for those people who want to play video games on the move. So, they do not need to waste their time and money to go to places that far away from their location just only for playing video games. It is because we will come to their places. We also accept offers for booking for any events at school, university and others. Our main headquarter is located at Taman Lagenda Indah,Sungai Petani, Kedah Darul AmanOur target market are those people who love playing video games regardless of adult or teenager or children. Our expectation on TruckXGaming in next five years are we will growing up and the number of gaming trucks and also branches will increase drastically. This is because the number of video gamers keep increasing day by day.
An improved denoising model for convolutional neural network

Abstract In recent years, computer vision and many other research fields have put forward higher and higher requirements for image quality, and image denoising has become an important research direction. Aiming at the problems of general image denoising effect and long algorithm convergence time, this paper makes an improvement on the original network structure of denoising convolutional neural network DnCNN model and adds channel attention mechanism in the penultimate layer. The channel attention mechanism further improves the signal-to-noise ratio (SNR) and optimizes the noise reduction effect through convolution and deconvolution neural networks. The experimental results show that, under the same noise reduction level of 25, the PSNR of the proposed DnCNN2 algorithm is 1.25dB and 1.62dB higher than that of the DnCNN algorithm after the verification of the BSD68 and SET12 test data sets. Structural similarity (SSLM) was increased by 0.0011 and 0.0103, respectively. Meanwhile, the convergence time of the algorithm becomes shorter. Compared with traditional deep learning image denoising algorithms, the noise reduction effect and operation efficiency of the proposed method are also improved, which has certain advantages.
Cryptocurrencies: A Boon or A Bane

Cryptocurrency is a form of digital money and is transmitted over the internet. Cryptocurrencies are not governed by the Reserve Bank of India and are protected by complex codes and are authenticated by encryption techniques which are used for generating the units of currency and the transfer of funds are verified. All digital transactions are stored in a digital ledger (also known as Blockchain) or in other words, a computerised database with strong cryptography to secure transaction record entries, in turn they control the digital coin records, and verify the transfer of coin ownership.Strong cryptography is a general term applied to cryptographic systems which are considered highly resistant to cryptanalysis i.e., to analyse information systems to study their hidden aspects.
REVISIÓN DE LAS APLICACIONES DE APRENDIZAJE DE MÁQUINAS SUPERVISADAS EN LA INDUSTRIA MANUFACTURERA

Machine Learning is the design and study of computer tools that use past experience to make future decisions; it is also the study of programs that can learn from data.  The main objective was to perform a document review of the state of the art of the most relevant supervised machine learning algorithms, applied in the manufacturing industry, in a systematized way. The paper shows that each algorithm differs in the area of application and no algorithm is more powerful than the other in different scenarios. The methodology used was a systematic SMS mapping study. Thirty papers were selected after applying the defined inclusion and exclusion criteria. The review indicated that the most commonly used algorithms are RF, SVM and Neural Networks, and they are mostly used for fault detection, process and quality control.
The Culture of Digital Scholarship in Academic Libraries [book review]

Digital scholarship is a growing area of service and programming at institutions of higher education, often with the academic library at the center of support. Editors Robin Chin Roemer, Interim Director of Online Learning and Innovation, and Verletta Kern, Digital Scholarship Librarian, of the University of Washington Libraries, bring together librarians and technology experts mostly from their university to provide a detailed, compelling look at the digital scholarship landscape and the many ways that the scholarly community is supported by a rich network of services developed to respond to a wide range of needs.
COVI SCAN (Face mask detection and social distancing violation detection)

COVID-19 pandemic is a great humanitarian challenge faced by the world today. The pandemic has spread widely causing the world to halt and the number of cases continues to rise. Governments all around the world are working to slow down if not completely stop the spread of this pandemic. Many protocols have been implemented, crucial ones are face masks and social distancing. Since social distancing and wearing a mask are the only monitored ways to avoid the infection till vaccinations become accessible to all. Real times mask detection and social distance violation using computer vision and deep learning techniques. For face mask detection we collected a dataset consisting of with-mask and without-mask labels.