Reviewerly/exHarmony huggingface dataset:
Recent Trends in Person Re-identification from Videos

The purpose of Person re-identification is to locate a targeted person from a given image or video obtained from different camera feeds. There is a lot of research going on in the field of computer vision especially on Person re-identification. The conventional method used were template matching techniques. Due to the availability of high-end computing systems and large datasets, the person re-identification system works very well as the features extracted after the images are pre-processed, which almost solve the problems related to illumination variation, pose variation and occlusion. This paper discusses the related work and recent techniques used for person re-identification such as Histogram of Gradients, Scale Invariant Feature Transform, Local Binary Pattern, and deep learning methods.
Bayesian semiparametric long memory models for discretized event data

We introduce a new class of semiparametric latent variable models for long memory discretized event data. The proposed methodology is motivated by a study of bird vocalizations in the Amazon rain forest; the timings of vocalizations exhibit self-similarity and long range dependence. This rules out Poisson process based models where the rate function itself is not long range dependent. The proposed class of FRActional Probit (FRAP) models is based on thresholding, a latent process. This latent process is modeled by a smooth Gaussian process and a fractional Brownian motion by assuming an additive structure. We develop a Bayesian approach to inference using Markov chain Monte Carlo and show good performance in simulation studies. Applying the methods to the Amazon bird vocalization data, we find substantial evidence for self-similarity and non-Markovian/Poisson dynamics. To accommodate the bird vocalization data in which there are many different species of birds exhibiting their own vocalization dynamics, a hierarchical expansion of FRAP is provided in the Supplementary Material.
MAGMATISM DURING FLAT SLAB SUBDUCTION – METALLOGENIC IMPLICATIONS FOR UTAH’S GREAT BASIN

The Thompson Knolls exploration project is located in the Kings Canyon District, west-central Millard County, 60 miles southwest of Delta, Utah, and 4 miles south of State Route 6. The area has been known for sediment-hosted gold potential since the 1980s, having grades of up to 0.63 oz/t Au in a drill hole by Centurion Resources in 1996. Despite a drill-indicated resource of ~200,000 oz Au at the Kings Canyon deposit, this district has never been in mine production. Based on a subtle magnetic anomaly interpreted from historical USGS aeromagnetic survey data, Inland Exploration and BCM Resources began developing Bingham-style porphyry copper and sediment-hosted gold targets in 2015 and 2016. Using modern geophysics, geochemistry, and nearby sediment-hosted gold and skarn mineralization to vector, the target was refined to a 3-square-mile area under pediment cover to the west of the Confusion Range. One hole was drilled in 2018 that intercepted quartz monzonite porphyry (QMP) under 595 ft of fanglomerate cover. The QMP continued until the hole was lost at 1108 ft, and exhibited argillic and sericitic alteration and zones of weak pyritic copper mineralization. An initial U-Pb age based on 36 zircon grains indicates that this intrusion is early Paleocene (62.2 +- 0.7 Ma) and also has an inherited Jurassic population (n = 11). Not only is this age older than the assumed Eocene (Bingham) age, it represents the only known Paleocene and Laramide intrusive age in Utah, and the only known Paleocene age in the Utah-Nevada Great Basin (the Cortez district in Nevada contains rare Cretaceous dikes). The Laramide period is well known for prolific porphyry copper mineralization in Arizona, but magmatism during this time in Utah has been believed to be inactive due to the flat slab subduction of the Farallon plate. This new data calls for a more nuanced understanding of magmatism during the Laramide in Utah and an evaluation of implications for the metallogenic evolution of the eastern Great Basin.
EXPLORING THE USE OF COLLABORATIVE STRATEGIC IN READING CLASSROOM

The study was concerned to investigate the students’ reading comprehension students of SMA Negeri 3 OKU which was taught by using Collaborative Strategic Reading. The objectives of this study was to find out the students’ reading comprehension to the eleventh grade students of SMA Negeri 3 OKU which was taught by using Collaborative Strategic Reading. The population of this study was the whole of the eleventh grade students of SMA Negeri 3 OKU. The total number of the population was 258 students; and 30 students were taken as the sample through purposive sampling. The pre-test and post-test and observation were used as the techniques for collecting the data. The researcher concluded Based on the data analysis in chapter IV, the researcher found the students’ pre test score and post-test cycle I was improved from 60,89 to 72.94. Then the students’ post-test cycle I score and post-test cycle II was improved from 72,94 to 79.74. The researcher can be concluded that Collaborative Strategic Reading worked effectively and efficiently in helping the student’s reading comprehension at the eleventh grade students of SMA Negeri 3 OKU 2018/2019 and this learning has applied successfully and able to increased students’ ability in reading comprehension. The students were more active and participated in the teaching-learning process of reading comprehension. Therefore, Collaborative Strategic Reading can be alternative strategy for teacher in teaching reading which can improve their reading comprehension ability.
Professor Pia Borlund: 5th Tony Kent Strix Annual Memorial Lecture

UKeiG would like to inform you that the 5th Tony Kent Strix Annual Memorial Lecture 2019 is to be delivered by Professor Pia Borlund, Department of Archivistics, Library and Information Science at Oslo Metropolitan University and will take place on the afternoon of Friday, 29th November 2019 at The Geological Society, Burlington House, Piccadilly, London. Professor Borlund was nominated for the award by Diane H. Sonnenwald, Emerita Professor of Library & Information Studies at University College Dublin and received unanimous praise and support from the Strix judging panel. “Similar to the memorable Dr Tony Kent, the work by Borlund is original and innovative, and has had a significant impact on information retrieval (IR) research and applications. Her approaches are analytical and practical, and her devotion and dedication to users and interactive information retrieval (IIR) are outstanding. Within the IR community, Borlund is known for her innovative contributions to IR user studies, evaluations and test design, including strong, novel methodological contributions to IIR evaluation. In particular, she is recognised for the development of her IIR evaluation model which uniquely employs simulated work task situations. Borlund developed the IIR evaluation model as a doctoral student by taking up the challenges of the calls put forward by Professor Stephen Robertson (recipient of the first Tony Kent Strix Award in 1998) and Micheline Hancock-Beaulieu, in their iconic 1992 paper on IR systems evaluation.Keywords: Information Retrieval, Search, Tony Kent Strix, Awards
Annual Nuffield Summer Research Projects and Nuffield Summer Research Project Celebration Event at DMU Venue

Other groups and departments involved in this research:DMU Library TeamGabriel Egan – Department of Textual StudiesRichard Smith – School of Computer ScienceFarukh Farukh – School of Engineering and Sustainable DevelopmentRusi Jaspal – EGLS
TEXT SUMMARIZING SYSTEM OF ENGLISH SUBJECTS AND TEXT MINING SUBJECTS FOR COMPUTER SCIENCE STUDENTS

The development of text data is the birth of text mining, one of the techniques of managing text in order to summarize text is called text summarizer. in this study the text summarization uses the TF-IDF method. Text summarizing system is used in increasing students' interest in learning English, especially the ability to read news in English, where learning English in Indonesia experiences obstacles at various levels of formal education, from elementary schools, junior high schools, senior high schools to tertiary institutions. Text summarizer have created, used to demonstration method in English and text mining subject in departemant of informatics. Text summarizing system is also used as a demonstration method when entering text summary lecture material as a sub subject of text mining course material. stemming process, word tabulation, idf calculation and determination of word weight and sentence weight, the system is summarized with a summary of activities performed by a number of twenty English teachers and testing by ten online text summaries. Calculated the value of recall, the value of precision and f-measure. Text summarizing system is used in English learning activities as a medium of learning in order to present learning motivation, and demonstrated in the text mining course during the initial lecture on sub text summarizing material. Testing system by twenty English teachers that Text Summarizing System using TF-IDF in this study obtained a recall value of 0,687 precision value of 1,00 and f-measure test value of 0,814. Testing By online text summarizing systems using TF-IDF, in this study obtained a recall value of 0,675, precision value of 1,00 and f-measure test value of 0,8059 which means that the summarizing system has reliability and can be used as a medium for learning English courses and text mining. The future research is determining the steps to use text summarizing media and evaluating the benefits of learning optimization and also assessing perceptions from lecturers as well as students on more respondens.
Language Model Co-occurrence Linking for Interleaved Activity Discovery

As ubiquitous computer and sensor systems become abundant, the potential for automatic identification and tracking of human behaviours becomes all the more evident. Annotating complex human behaviour datasets to achieve ground truth for supervised training can however be extremely labour-intensive, and error prone. One possible solution to this problem is activity discovery: the identification of activities in an unlabelled dataset by means of an unsupervised algorithm. This paper presents a novel approach to activity discovery that utilises deep learning based language production models to construct a hierarchical, tree-like structure over a sequential vector of sensor events. Our approach differs from previous work in that it explicitly aims to deal with interleaving (switching back and forth between activities) in a principled manner, by utilising the long-term memory capabilities of a recurrent neural network cell. We present our approach and test it on a realistic dataset to evaluate its performance. Our results show the viability of the approach and that it shows promise for further investigation. We believe this is a useful direction to consider in accounting for the continually changing nature of behaviours.
Multi-Criteria Decision Making for Solar Panel Selection Using an Integrated Analytical Hierarchy Process and VIKOR approach: A case study

A solar panel forms an integral part of a photovoltaic (PV) system and many works are reported to reduce its material costs with better efficiency. Solar panel for PV system includes both tangible and intangible criteria which affects the selection of suitable solar panel. In this paper, a multi-criteria decision-making (MCDM) approach that includes analytical hierarchy process (AHP) and VIKOR is developed for the assessment and ranking of solar panels. The AHP method is utilised to fix compromise solution with incommensurable and contradictory criteria, consisting of five potential solar panels and eight selection criteria such as performance test conditions (PTC) power rating, standard test condition (STC) power, peak efficiency, temperature coefficient, energy density, weight, quality and service support, chosen for solar panel selection. The relative importance of all criteria is measured and the AHP method is applied for the calculation of the weights. Subsequently, VIKOR method is used for ranking and selecting the solar panel alternatives among the presence of conflicting criteria.
On Estimation of Model Error by an Adaptive Filter

This paper presents an optimal filtering approach to state and model error (ME) estimationproblem, with a deterministic or stochastic ME. The approach is based on the adaptive filtering (AF)algorithm which is aimed at overcoming the difficulties in the filter design with very high dimensionalityof the dynamic systems. The objective is to design a filtering algorithm offering potential for improvementof numerical accuracy and reduction of computational burden. A hypothesis on the structure of ME isintroduced. The improvement of the AF performance is achieved by tuning some pertinent parameters ofthe filter gain as well as bias parameters to minimize the prediction error of the system output. Numericalexperiments are presented to illustrate the performance of the proposed approach.
Messy Data in the Real World

Author Chai uses three artificial examples to make a point about cleaning data (“The Importance of Data Cleaning: Three Visualization Examples,” CHANCE 33(1):4–9). Here is a real instance.In 1971, ...
Analyzing Motivations for Study Exchange: A Case Study on European Exchange Students at a University in Korea

이 사례 연구를 통해 유럽 학생들에게 한국의 언어와 문화에 대한 관심의 촉매제로서의 역할을 한 것은 비단 한류 문화와 한류 상품만이 아닌 중국, 일본 등 동북 아시아문화와 언어에 대한 학생들의 기존 경험들과 관심, 그리고 유럽에 진출한 한국기업에의 취업 가능성 등이 또한 중요하게 작용했음을 확인할 수 있었다. 실질적으로 한국 유학을 온 학생들의 최종 결정을 이끌어내는 동기요인은 학생들의 출신국가 및 전공분야에 따라 종류 및 정도가 다양하였다. 이 의사 결정과정에서 가장 중요한 요소는 친구의 추천, 한국에 대한 이국적인 인상과 이미지, 문화적 차이에 대한 학습 욕구, 자국 또는 유럽 내 한국계 회사의 취업 전망 등이 있었다.Analyzing data from in-depth interviews with European exchange students at a Korean university this study illustrates that students’ motivation to participate in study exchange programs in Korea is not simply caused by the impact of Hallyu. Initial interest of the students in Korea was triggered by Hallyu but also by previous curiosity in China and Japan and by good job prospects with Korean companies in Europe. The final decisions to study in Korea was shaped by several motivational factors whose degree of influence depended on the home country and study major. The most significant motivational factors in the decision-making process were friends’ recommendations, the imagined exoticness and cultural difference of Korea and promising job prospects with Korean employers back home.
Socialization of foreign university students through the formation of reading literacy

The article considers the concept of reading literacy as a means of successful socialization of foreign students of Elabuga Institute of Kazan Federal University. As a prerequisite for the research served the growth of number of foreign students in the Institute. That in its chain caused the problem of socialization of foreign students in the Russian society. The authors analyze the process of reading literacy formation at three levels (baseline, functional, multiple). Each level corresponds to a certain stage of learning a foreign language (the language of the host country). The first stage presumes a digital educational resource “Russian as a foreign language (RuStart)”. At the second stage students’ study at preparatory courses of studying Russian as a foreign language on the basis of university. The third stage of socialization of foreign students (multiple literacy) is characterized by formation of students' professional socialization by means of studying the English language.  The level of socialization of students at each of the considered stages is determined. Besides, the influence of reading literacy on the process of socialization of foreign students is revealed. The aim of the paper is to reveal and analyse value of reading literacy in the course of socialization of students from Central Asia in the Republic of Tatarstan (Russia). To meet the aims of the research the authors use cross sectional research design. To reveal a relationship between reading literacy levels and students' socialization, the authors track changes at every stage of the study through testing, questioning, and interviewing foreign students. Thus, correlation characteristics are determined. The impact of the development of reading literacy on the socialization of foreign students becomes evident through the analysis of the results of interviews. The analysis is performed using the method of correlational analysis. The conducted research revealed the integral role of reading literacy in socialization of foreign students in our higher education institution.
Job Analysis of Master Gardener Coordinator Based on Developing a Curriculum (DACUM) Method

To analyze and development job such as Master Gardener Coordinator, the Development a Curriculum (DACUM) method was used to analyze the Master Gardener Coordinator job. The analysis identified seven key duties; 1) understanding of garden culture, 2) understanding of gardening skills, 3) understanding of voluntary service, 4) curriculum development, 5) curriculum implementation, 6) follow-up after education, and 7) professional development. The analysis also identified, 41 tasks related to the job: four tasks in duty 1, four in 2, six in 7 and seven in 7. Moreover, 173 sub-task elements were identified. The implication of this study was that the job model of Master Gardener Coordinator was suggested through DACUM method analysis. This role and its scope of activity were established to prepare the ground for further research on standards of job performance and job analysis of Master Gardener Coordinator in the future.
Design of a telemedicine robot using behavior-based control architecture

A telemedicine robot is an interesting task to develop. The difficulty, incomplete prior knowledge of the environment, and unexpected situations set strict necessities for both the hardware and software components of the robot. The robot should also have the ability to perceive and to handle inaccurate and imprecise sensors. Finally, the robot needs also to achieve high level and complex goals with an imperfect actuator at a limited time and fast response. Several robotics architectures have been proposed that try to cope with the above problems. Most of the architectural style described in the technical literature can be classified into four categories: reactive, deliberative, hybrid, and behavior-based control architecture. The behavior-based method has been established as a modern robot control architecture. The paper will propose the design and prototype of a telemedicine robot using behavior-based control architecture. The main purpose of this robot is to handle some action of medical processes and carriage several resources within the hospital to reduce risks in the hazardous zone. Several behaviors will design to assist the robot, namely: camera control behavior, robot control behavior, and obstacles avoidance behavior. Modeling and simulation of the robot with those behaviors have been performed and tested. After that, a prototype of a real robot also designed. The robot is built using ATmega2560, ESP01, motor drivers, and three ultrasonic sensors. Then the reading sensor results are processed to get the PWM value that corresponds to the distance of the legible barrier. Internet communication is used to control the robot remotely with Graphical User Interface (GUI) on computer devices. Based on some experiments performed, the behavior-based control architecture has a good performance for the telemedicine robot. The robot can do their tasks well, able to control remotely, seeing the situation with camera, and maneuver according to plan with velocity control to avoid colliding.
[Generality and specificity of cognitive control: research logics and debates].

As a high-level cognitive function of actively regulating human behaviors, cognitive control plays essential roles in conflict processing, working memory, decision making and so on. However, it is still under debate whether a universal cognitive control mechanism underlies the processing of various conflicts. Many existing theories tend to hold that cognitive control is domain-general; however, this view has been challenged by recent empirical studies. The logics of studying generality/specificity mainly include transferability, parallel comparison, correlation and resources competition, etc. Current empirical findings support that cognitive control is domain-general, domain-specific or both, respectively. To tackle this controversy, future studies about cognitive control can be performed from the perspectives of life-span development, the dynamic brain network, combination of multiple logics, causal relationship from brain injury, computational modeling, cognitive flexibility and functional connectivity.
An Interpretation of Qos-Aware Web Service Composition Using Metaheuristics Method

Web has become the most distributed, largest and well-accepted computing platform ever since web services existed while service composition giving ways to many more value-added services by aggregating the sets of new with the existing services. There are many candidate services with the same functionality but different quality of service (QoS) properties in satisfying the needs of requirements from the users. QoS-aware web service composition is concerned to select those candidates that best fit with the expected composition focusing on optimizing the overall QoS value of the composition. Current literature has emphasized that using bio-inspired metaheuristic methods such as Particle Swarm Optimization (PSO), Simulated Annealing (SA), Genetic Algorithms (GA), Ant Colony Optimization (ACO), Bee Algorithms (BA) and Firefly Algorithms (FA) is a promising approach in QoS-aware composition. The metaheuristic approach is very useful to the user with the diversification of the requirements that is intensified to be a near-optimal solution. Thus, this paper provides a crucial review of existing web service composition works that using the metaheuristics approach to overcome the needs and different kind of features. The reviews develop a classification of approaches based on QoS-aware web service composition using metaheuristics and discuss the future research directions.