Reviewerly/exHarmony huggingface dataset:
Retransmission Timeout Requirements

Ensuring reliable communication often manifests in a timeout and retrymechanism. Each implementation of a retransmission timeout mechanismrepresents a balance between correctness and timeliness and thereforeno implementation suits all situations. This document provides high-level requirements for retransmission timeout schemes appropriate forgeneral use in the Internet. Within the requirements, implementationshave latitude to define particulars that best address each situation.Terminology
Demo: Image Recommendation with User Intent on a Mobile

The mobile devices photographing has greatly enriched people’s interest, social and entertainment. The improvement of mobile devices processing chip and storage make the quality and quantity of pictures in mobile increased rapidly. Although mobile images can be simply categorized in existing work, there is no recommendation[5] list based on user’s mind. This situation will bring great burden and poor experience to users when selecting image. In this paper, we proposed an plug-in system, named IRI(IRI, Image Recommendation with User Intent), to create a recommendation list which follows user’s mind. In IRI, the user intent[1] can be sensed employing the text input. The multi-layer semantic relation library is used for assessing correlation between the image and sensed intent. We implement the IRI on mobile phone and test the accuracy of the intent sensing and energy consumption. The experimental results demonstrate the effectiveness and superiority of the IRI.
Estratégias de design para contextos complexos

Given the increasing complexity of the design problems, it is usual to design for complex contexts featured with inconstant variables and unpredictable prospects.In this paper we want to bring forward some proposals in the field of design methodology that try to cope with this type of challenge and that propose some changes for the traditional design paradigms.Two different fields are covered in the hope of finding convergent design elements: metadesign and the open source software development.
A Multi-Sensing Collaborative Diagnosis System for the Reliability of Industrial IoT

Accurate and continuous monitoring of large scale machinery is important for modern industries. Existing solutions are often unsuitable for large-scale and complex scenarios where a huge number of data flows that generated by hundreds of heterogeneous sensors should be considered in combination and processed simultaneously to finally judge the status of the machinery. In this paper, we propose a multisensing collaborative diagnosis system for accurate and realtime monitoring of large-scale machinery. Our proposed approach tries to capture and model the underlying temporal and spatial structure in sequential data, and use this model for more efficient prediction of machinery. Such prediction model is built on long short-term memory (LSTM) neural networks. A series of data preprocessing methods are also proposed to align the asynchronous data streams and reduce the dimension of the heterogeneous data, which improves the efficiency of the status prediction process. We implement and evaluate our system in a real-world convertor station where many large scale machines are applied for current converting. The results show that the proposed system can achieve less than 2% mean square error, which outperforms the state-of-the-art model-based and ML-based machine fault diagnostics methods.
Holistic e-resource analysis to support changing acquisition models

Presentation slides and handout for presentation given at 2019 Electronic Resources & Libraries Conference.
Data fusion, a multidisciplinary technique

In this paper, show the general concepts of data fusion, and makes a collection of some outstanding multidisciplinary works related to the existing techniques of data fusion, its objective is to make known the methods and the multiplex ways to use this technique that can be adapted for the requested requirements.
Poster: A Calibration-free Gaze based Mobile Gesture Control System

Gaze tracking is a promising human-computer interaction (HCI) technique that has multiple usage scenarios. However, calibration step is needed in most gaze-based interaction systems, which greatly affect user experience. In this proposal, we propose FreeGaze, a light-weight calibration-free gaze based gesture control system on commercial mobile devices. FreeGaze uses no delicated hardware, requires less computation overhead, does not rely on specific user behavior and most importantly, no calibration step required.
A novel approach for indoor-outdoor scene classification using transfer learning

Scene understanding and analysis has gained significant importance and widely used in computer vision and robotics field. Classification of complex scenes in a real-time environment is a difficult task to solve. Convolution Neural Networks (CNNs) is a widely used deep learning technique for the image classification. But the training of CNNs is not an easy task since it requires large scale datasets for training. Also, the construction of CNN architecture from the scratch is a complex work. The best solution for this problem is employing transfer learning which gives desired result with small scale datasets. A novel approach of Alexnet based transfer learning method for classifying images into their classes has been proposed in this paper. We selected 12 classes from publicly available SUN397 dataset out of which 6 are indoor classes and the remaining 6 are outdoor classes. The model is trained with indoor and outdoor classes separately and the results are compared. From the experimental results we found that the model exhibited the accuracy of 92% for indoor classes and 98% for outdoor classes.
Global Humanitarian Engineering Solutions: A Partnership Between Mercer University and the United Nations Humanitarian Response Depot

Mercer University's Engineering for Development (E4D) program prepares students to become leaders in implementing sustainable solutions for people and the environment, with an emphasis on improving the lives of under-served populations.The United Nations Humanitarian Response Depot (UNHRD), an entity of the World Food Programme (WFP), is responsible primarily for procurement, prepositioning, and transport of relief non-food items on behalf of the international humanitarian community, for over eighty global organizations.Since early-2015, Mercer's E4D program has been a partner with UNHRD LAB, the research and development lab that focuses on providing better solutions to UNHRD and its partners, specifically to improve logistics support equipment and provide solutions for reducing waste from relief item packaging.This paper describes: (1) background on UNHRD and Mercer's E4D program, (2) the initiation and development of the Mercer-UNHRD partnership, (3) key ways in which the partnership is advancing interests both for Mercer's engineering students and UNHRD, including through student research and design projects, (4) how UNHRD-Mercer research topics are being used to pique students' interest while they learn fundamental engineering concepts, and (5) future plans to grow the partnership.
L’ITALIANO IN EUROPA E L’ETEROGLOSSIA LETTERARIA: UNO SGUARDO SULLE TRADUZIONI (E LE AUTOTRADUZIONI) POETICHE

One aspect of the literary heteroglossia in Italian language, which was dealt with only cursorily in my book â€œLa lingua di cui si vanta Amore. Scrittori stranieri in lingua italiana dal Medioevo al Novecentoâ€ (2009), is that of the poetic translation and especially of self-translation. While the former is evidenced almost only in the XVII and XVIII centuries (Bachet and RÃ©gnier-Desmarais have translated in Italian classical poets, Jagemann and Mathias modern texts), the latter reveal significant examples during the XIX century: Shelley, Platen, Dante Gabriel and Christina Rossetti, etc. All these authors are featured in the present article.
JND-SalCAR: A Novel JND-based Saliency-Channel Attention Residual Network for Image Quality Prediction

In image quality enhancement processing, it is the most important to predict how humans perceive processed images since human observers are the ultimate receivers of the images. Thus, objective image quality assessment (IQA) methods based on human visual sensitivity from psychophysical experiments have been extensively studied. Thanks to the powerfulness of deep convolutional neural networks (CNN), many CNN based IQA models have been studied. However, previous CNN-based IQA models have not fully utilized the characteristics of human visual systems (HVS) for IQA problems by simply entrusting everything to CNN where the CNN-based models are often trained as a regressor to predict the scores of subjective quality assessment obtained from IQA datasets. In this paper, we propose a novel JND-based saliency-channel attention residual network for image quality assessment, called JND-SalCAR, where the human psychophysical characteristics such as visual saliency and just noticeable difference (JND) are effectively incorporated. We newly propose a SalCAR block so that perceptually important features can be extracted by using a saliency-based spatial attention and a channel attention. In addition, the visual saliency map is further used as a guideline for predicting the patch weight map in order to afford a stable training of end-to-end optimization for the JND-SalCAR. To our best knowledge, our work is the first HVS-inspired trainable IQA network that considers both the visual saliency and JND characteristics of HVS. We evaluate the proposed JND-SalCAR on large IQA datasets where it outperforms all the recent state-of-the-art IQA methods.
THE EFFECTIVITY OF SPRE/R APPROACH IN IMPROVING CREATIVE WRITING OF THE STUDENTS (EFEKTIVITAS METODE SPRE/R APPROACH UNTUK MENINGKATKAN KEMAMPUAN MENULIS KREATIF MAHASISWA)

This study mainly discuss about the effectiveness of the SPRE/R approach method towards the creative writing ability of the students. The goal of this study is to determine whether or not the application of SPRE/R approach method to the improvement of creative writing ability of the students. The method which used in this research is quasi experiment. The sample of the research is 66 students in semester 4 who take Creative Writing Course. The study sample consisted of 33 Regular 4A class students (experimental group) learning to write using the SPRE/R approach method and 33 other students in the Regular 4B class (control group) learning using conventional methods. Data collection techniques with creative writing tests, while data analysis techniques are statistical techniques with t-test. The data show that the average of study result of experimental group for the initial test is 43,84 and the final test is 73,21 so that the average of student learning result has increased by 29,37. The average value of the control group for the initial test was 45.33 and the final test was 60.03 so that the average student learning outcomes increased by 14.7. From the difference in value is calculated by t test at a significant level of 95% and (df = n2 + n1-2). From the results of the calculation obtained t-count of 5.644 while t-table 1.998, thus, it can be concluded that there are significant differences.In addition, the results of this study produce output products in the form of a collection of short stories.
UMP placed in 2019 QS World University Rankings by subject

Universiti Malaysia Pahang (UMP) can now stand tall among the world’s elite universities after it is listed in the QS World University Rankings by Subjects 2019 for three categories: Engineering (Chemical), Engineering-Mechanical Aeronautical and Manufacturing, and Engineering and Technology.
State recognition of circuit breaker based on machine vision

In the automatic assembly line of the disconnector, the upper cover and the base of the circuit breaker housing are separated by a separation station. If the upper cover and the base are placed too far apart or placed in the opposite direction, the separation station cannot be separated normally, and it will affect the normal operation of subsequent processes. In this paper, a machine vision recognition and detection system for the circuit breaker shell is proposed. The image of the circuit breaker casing is captured by the CCD camera. The image processing technology is used to detect the edge of the original image of the circuit breaker shell and feature extraction. The algorithm of convex hull is used to calculate the rotation angle. Then the least square method is used to calculate the center position of the largest circle, and the upper cover and the base are identified according to the quadrant of the center of the circle.
Predicting Risk: Trumping Standard Practice in Auto Insurance

This thesis presents an approach for identifying extremes in auto insurance by means of risk profiles. A standard generalised linear model serves as benchmark whereas gradient boosting and backpropagation neural networks are considered as alternatives. To handle class skew, the latter methods are combined with Multi-Minority SMOTE, an alteration of standard SMOTE presented in this thesis, as well as cost-sensitivity. Considering the Area under the ROC curve, the ability to identify the high risk class and the depth of insights provided, gradient boosting combined with MM SMOTE is deemed to be the most appropriate method for predicting risk.
U-238 in IOCG Sin Quyen deposit, North Vietnam

Summary Natural radioisotope application in earth science is used domination now day. For example: to determine timing of underground water by ratio of U-238/U-234; to observe and predict young magma or earthquake activities by radon (Rn-222) research; to mineral prospecting or geochemical mapping based on study of the behavior or distribution of natural radionuclides on surface; or investigating non-radioactive mines based on relation with radioactive field. In this topic, the distribution and 3D modeling of uranium ore bodies will be create based on study of U-238 isotope in IOCG Sin Quyen deposit, North Vietnam.
KLASTERISASI KERANJANG BELANJA TRANSAKSI PENJUALAN DENGAN MENGGUNAKAN K-MEANS CLUSTERING

Shopping cart management systems in shopping centers are still done by remembering the sales history of each member. If the members handled are still small, of course this is not an obstacle. In addition to this, the system presented cannot know for certain the member who buys goods with certain types of categories, or the combination between the categories of goods. To be able to determine the right decision in recommending an item to a member, and also to find out how many members buy goods with a certain category, the company needs enough information to be able to do further analysis. Association rules on the K-Means algorithm are used to find relationships between data or how a group of data affects the existence of another data. This method can be used to help identify certain patterns in a large data set, and can be used to improve the marketing strategy of a shopping center. Keywords: Shopping Cart, Association Rule, K-Means Clustering.
Central Sulawesi Earthquake WASH Support Program (Indonesia)

On September 28, 2018, a 7.4 magnitude earthquake struck Central Sulawesi, Indonesia, also triggering a devastating tsunami. The disaster has caused severe damage on water supply systems; therefore, the affected households have confronted water supply cris
The Use Of Story Telling Technique In Teaching Speaking At The 8th Grade Of Smpn 6 Tangerang Selatan

This study proposed to find out one of a good techniques in learning speaking because in learning process the students faced some difficulties. For that reasons the writer aimed to investigate the problem used the observation using Storytelling technique at the 8th grade of SMPN 6 Tangerang Selatan. This technique was expected to help the students easier in express themselves and feel enjoyed in practice their speaking ability. The writer used qualitative method then the writer used speaking test, interviewed the teacher and also analyzed the activities during the observation.After doing the observation, the writer analyzed all of the data, then the result of data are, there are improvement in their speaking ability, some students were more confidence and feel free to speak English. The result of their speaking test the lowest score is 31.25, the highest score is 98.75 and mean is 59.7 from 36 students and the result of questionnaires answered the questionnaires that the students enjoyed in learning using Storytelling technique. It can be concluded there is improvement in their speaking skills of students at the 8th grade of SMPN 6 Tangerang Selatan after learning using Storytelling technique.Keywords: storytelling, teaching, speaking
Come Get Your Honey : Hur spelet Red Bull Secret Gig användes i praktiken.

The purpose of this study is to analyze how the mobile augmented reality game Red Bull Secret Gig was made in practise by its users. Red Bull Secret Gig was a game that was a part of the release of ...
PENGGUNAAN METODE WEB ENGINEERING DALAM APLIKASI PENJUALAN KAIN KHAS PALEMBANG

Palembang typical fabrics have many types. For example, jumputan fabric, Songket cloth and Tajung cloth. So far the marketing of typical Palembang fabrics is still done conventionally, namely with consumers coming to the house of the typical fabric craftsman to buy it. To market the typical fabric of Palembang, the sale of typical fabrics will be made online, so as not only to increase sales, but also to promote typical Palembang fabrics in the international world and also be able to support income for Palembang's fabric craftsmen. This sale can also increase turnover for small and medium businesses in the city of Palembang. Making applications using Web Engineering software development methods. While the programming language used to make this application is PHP (Personal Homepage).
The Relationship between Women's Education with Women's Labor Participation and National Income: A Research on G20 Countries.

The purpose of this research is to reveal the relationship between women’s education, women's labor force participation and national income in G20 countries. The relationships between women's education, women's labor force participation and national income were analyzed by the panel data analysis method for the G20 countries for the period 1997-2018. Stability of series were tested by Fisher ADF and Fisher PP panel root tests and the series were determined to be I (1). Pedroni (2004) was used to test the existence of cointegration relationships between the series. The series were found to be cointegrated. The long- and short-term relationships of the series were analyzed by the Panel DOLS method and it is determined that the increase of female schooling level increase the female labor force participation rate, increase of female schooling level and female labor force participation rate increase the per capita (real) national income. A two-way causality relationship was found between the ratio of women in higher education and national income per person. In addition, two-way causality relations between women's labor force participation rates and schooling rates at all levels of women were determined. In the study, it is concluded that in G20 countries, women's schooling rate increases the women's participation in the labor market and increases of women's schooling rate and female employment increase the national income per capita in countries. Article visualizations:
Assessing the Impact of Fire Safety Training at a University’s Information and Communication Technology Unit

Over the years, the educational institutions have had fair share of unfortunate fire incidents.Although incidents of fire are rare and occasional, the chaotic and unplanned nature of responses when fire incidents occur show the extent of preparation staff and students have in dealing with these crises situations.In a computing environment within a university, even though the likelihood occurrence of fire originating from equipment such computers, cables and network devices is unpredictable, the impact on operations of a tertiary institution is greatly affected.When it occurs, it leads to loss of critical application systems which support teaching, learning and administration, damage to expensive equipment, loss of stored records and finally leading to life threatening consequences to occupants.The study employed quantitative method to evaluating impact of fire safety training.Data was obtained using survey questionnaire to gather responses from those who attended in the event hosted by Takoradi Technical University's Directorate of Information and Communication Technology(ICT) Services.Descriptive statistics was used in data analysis to give meaning to figures.Results revealed that the training program built the capacity of participants to respond to fire safety issues appropriately and knowledgeably.Based on the findings it was recommended fire safety training be organized frequently for members of the university community for them to be able respond appropriately to crises situations should it occur.
Word embedding of religious scripts

Project. M.S. American University of Beirut. Department of Computer Science, 2018. Pj:1935$First Reader : Dr. Elbassuoni, Shady, Assistant Professor, Computer Science ; Second Reader : Dr. Abu Salem, Fatima K., Associate Professor, Computer Science.
Daegu Vocational Competency Development Center

Jun, Young-Hwan.2019.Daegu Vocational Competency Development Center,Photo,[Seoul]KDI School of Public Policy and Management,Knowledge Sharing Program: KSP Modularization
Design in Education: Systemic analysis of AI-based Educational Technologies (EdTech), to design supportive tools for teachers.

Educational Technologies (EdTech) have changed teaching-learning methodologies, challenging the actors involved in education systems (government, private entities, parents, institution leaders) but especially students and teacher’s skills. During the last decades, the biggest impact has been the implementation of artificial intelligence (AI) in most of the industries innovation, but in education is still a concept with mixed opinions. Then, EdTech designers have the liability to understand the technology, the system purposes of the system, and especially the user involve on the project. The research approach was inspired by the experience obtained on CHECK project, an AI technology experimental work sponsored by the Alta Scuola Politecnica and IBM. The direction of the project was mainly an exploration from the computer science aspect, leading to the recognition of some key elements missing on the research by a designer’s perspective. Therefore, the guideline of the research on this thesis was a systemic analysis of the components inside education systems, the characteristics around pedagogic methodologies, and the implementation of new technological methods, in order to structure a research based on theoretical information and user analysis. As a result, the aim of the project is to identify the connections between all the elements of the research to hierarchically establish the components and the requirements that designers of Educational Technologies (EdTech) for teachers, specially AI-Based instruments, need to considerate. Thus, teachers will be provided with supportive tools capable of facilitating their work and parallelly willing to prepare educators to confront the challenges of AI technology, by motivating them to reinforce those skills that characterize human intelligence over any technology developed. Consequently, it is important to recognize the social and ethical responsibility of designers on the introduction of new technologies to the market, since the idea is to find solutions that answer investors desires but without forgetting to generate a positive impact on the present a future society.