Reviewerly/exHarmony huggingface dataset:
Efficient registration of aerial video to geo-referenced images

Airborne surveillance and reconnaissance play an increasingly crucial role in military operations. Aerial video can perceive dynamic events, track active targets and provide the real-time location of targets, but the poor accuracy of geographical coordinates limits its usefulness. Registration of aerial video to geo-referenced images is an effective means to improve the location accuracy. Generally, the aerial video and the geo-referenced images to be registered were taken at different times, from different viewpoints and by different cameras. Due to these differences, registration of aerial video to geo-referenced images is a challenging task. This paper discusses the essential issues of the problem, analyzes the characteristics of the images, and shows what features work better. Then, this paper presents a two-stage image registration algorithm, which is based on decomposition of transformation space. The first stage estimates the rotation parameter by matching histograms of weighted edge orientation between aerial image and geo-referenced image. The second stage determines the translation parameters by comparing partial images using partial Hausdorff distance. This approach is computationally efficient and robust to significant differences between the images to be aligned. Experiments have been conducted on real-world data, and the results have shown the good performance of the algorithm.
An Analysis Of The Difficulties Faced By The Students In Learning Simple Past Tense In Eight Grade Of SMP N 1 Baki In The Academic Year Of 2018/2019

This research was conducted to investigate The difficluties faced by the students in learning simple past tense in eight grade of SMP N 1 Baki. The objectives of this study were to describe the difficulties faced by the students in learning simple past tense. The study used descriptive qualitative research in the form of case study. The subject of this study was the eight-grade students E, F, H of SMP N 1 Baki 2018/2019 academic year who had good score under and above the minimum passing grade. There were 3 males and 9 females. The technique of collecting data in this research was questionnaire, interview and class observation. , the results of this study indicate that there are 4 the difficulties faced by the students who have the score under the minimum passing grade in learning simple past tense, such as difficulties in memorizing formulas, difficulty memorizing irregular verbs, difficulties in using auxiliary 'Did' or 'Was / Were 'and difficulties in interpreting the questions and command while the results of research the difficulties faced by the students who have score above the minimum passing grade in learning simple pas tense there are 3 difficulties, namely difficulty in memorizing formulas, difficulty in memorizing irregular verbs and difficulties in using auxiliary' 'or' / Were '. The results of this study can be concluded that there are 3 difficulties are most faced by students, namely difficulty in memorizing formulas, difficulty in memorizing irregular verbs, difficulties in auxiliary use Did or Was / Were.
CLUETECTIVE Create Hunt Subsystem

Cluetective is an interactive mobile app which allows individuals and organizations to create customized treasure hunts, and treasure hunters (players) to participate in the treasure hunt in a unique way by utilising their smartphones. The treasure hunt creators can choose to have people participate in the treasure hunt as either individual players or in teams. Cluetective is suitable to be used by event organisations or any organisations (college, company, society/club, charity association and so on) wanting to hold a treasure hunt event. Cluetective is a tool that aids in the preparation of a treasure hunt session. All the missions and clues can be set up by just a few clicks on the smartphone. The organiser does not need to travel to the exact location to set up a station for the treasure hunt session. Cluetective even takes care of troublesome preparations such as maps and scores booklet. In addition,, there are a variety of interesting and challenging clues available in Cluetective, such as Question/Quiz, Scan QR Code, Image Matching, Image Guessing, Audio Guessing, Video Guessing, Fast Fingers, Math Challenge, Memory Test, Guess What I Am, Sudden Clue, and Find the Marshal.
Analytical Study of Instructor Needs for the Development of Korean Proficiency Assessment Tools

The purpose of this study is to propose directions for the development of Korean language proficiency assessment tools based on the analysis of instructor needs for such tools. In conducting this study, the needs of a subject group of 257 domestic and overseas instructors were observed regarding the language proficiency evaluation system and evaluation components of the current TOPIK. According to the results of the study, instructors considered the TOPIK, for the most part, to be an adequate tool for language proficiency assessment. However, the study results also showed that, regarding the TOPIK I, instructors found the lack of a writing section to be an issue. As for the TOPIK II, results showed that instructors found the reading section too difficult and the allocated time for the writing section to be somewhat short. When asked about the development of proficiency assessment, the majority of instructors emphasized the need for the development of new tools that would be appropriate for a new type of assessment. They also expressed that proficiency assessment should be applied for each of the four evaluation areas - speaking, listening, reading, and writing - and that the evaluation system should be divided into intermediate and advanced levels to take difficulty into consideration. Lastly, instructors mentioned that test results should show performance rankings and scores for each of the four aforementioned language evaluation areas. Based on the results outlined above, this study proposes the following directions for the development of Korean language proficiency assessment tools: first, adequate evaluation tools should be developed for the purpose of language proficiency assessment; second, all four language evaluation areas should be included from the beginner level; third, the evaluation system should take difficulty and practicality into consideration by providing two separate tests, one for the beginner and intermediate levels, one for the advanced level; fourth, evaluation components such as allotted question times, number of questions, difficulty, and answer choices, should be similar to that of existing evaluation method, with slight adjustments made to the difficulty of reading and allotted time of writing for the advanced level; fifth, the assessment results should offer performance rankings and scores for each of the four language evaluation areas.
Images Travelling from Rock Art to SouthSaami Drums : A Comparative Study

This study of resemblances in form between images in rock art in northern Sweden and theimagery on South Saami drums has three results. The first is that some images had basiccriteria in common tha ...
Criterios para evaluar la calidad de la participación en foros virtuales

The results of a systematic literature review on criteria and recommendations to assess the quality of participation in virtual forums are presented. The objective was to find solid bases to guide the teacher and take advantage of the potential offered by the forum as a teaching tool. The study was carried out by consulting various recognized authors on the subject: Ornelas (2007), Mora (2011), Gros and Silva (2006), Roing (2011), Zerpa and Ramirez (2010), among others. The main findings coincide in insisting that the quality of participation in virtual forums should focus on promoting and motivating argumentative, reflective and critical interventions by students, in order to favor the construction of knowledge. The virtual forum is conceived as a means to promote learning, not as an end in itself, but to the didactic strategy which it is designed and developed. It is suggested that instructional designs in the virtual modality consider criteria that guide the best use of virtual forums to encourage and promote better learning.
Open APK File: Available for Android, IOS, and Windows

Open APK files in Android, MAC, IOS, and Windows. An APK file is a file used to install apps for Android and Google’s mobile operating system. Some ...
Teachers' authority in a primary school

The purpose of the master's thesis is to address the authority of a teacher in school. Teacher´s authority is crucial for transferring knowledge to students. Teachers build authority up in a different way, relying on different factors. The student also plays an important role in establishing the authority of the teacher. A transfer relationship should be established between teacher and student. This attitude enables the transfer of knowledge from teacher to student. The student from the teacher's side is not intimidated or humiliated, but perceives the teacher as someone who is knowledgeable, honest, who can teach something. Establishment of authority is influenced by the subject matter, the teacher's personality traits, subject, work methods, etc. The authority is not given to the teacher, but must be acquired by the teacher him/herself and must be preserved through his/her work. I have conducted an empirical research among teachers and pupils of the selected primary school, where I have distributed a questionnaire, which has examined the emergence of four types of authority at school and which factors, in the opinion of the teachers, have a significant influence on the establishment of authority. The results of the factor analysis in the survey revealed the existence of four types of teacher authority in the selected primary school The analysis of the teachers' responses, however, has showed that the key factors in establishing authority are the factors that influence the teacher-student relationship (respect, justice, trust) and pedagogical and professional knowledge. According to the surveyed teachers, the family and the authority of other teachers at the school also have a significant influence on establishing authority. Teachers attributed less influence to the factors that only indirectly influence their authority, than to the factors they themselves can influence significantly.
환경동화책 읽어주는 활동이 초등학생의 환경소양에 미치는 영향

The purpose of this study was to find out the effect of activities of reading out environmental fairy tales to elementary students on the environmental literacy. The study was conducted 48 third graders of H elementary school located in Anyang city. They were divided into the experimental group of 24 students and the comparative group of 24 students. For this study, the researchers read 20 environmental fairy tales twice a week to students in the experimental group. The general fairy tales during that period was provided for the comparative group. As a result of the application of the program, in the domains of knowledge and sentiment among the environmental literacy, the experimental group appeared to be a significant improvement over the comparative group (p<0.05). But, in the domains of function and behavior among the environmental literacy, there was no significant difference between two groups. This means that the activities of reading environmental fairy tales have contributed to making students think about the importance of the environment, but not to the practical context. Therefore, to enhance the function or behavior of environmental literacy, we could see that the program should be designed to carry out a practical action program in addition to reading.
Supervised Discovery of Unknown Unknowns through Test Sample Mining (Student Abstract)

Given a fixed hypothesis space, defined to model class structure in a particular domain of application, unknown unknowns (u.u.s) are data examples that form classes in the feature space whose structure is not represented in a trained model. Accordingly, this leads to incorrect class prediction with high confidence, which represents one of the major sources of blind spots in machine learning. Our method seeks to reduce the structural mismatch between the training model and that of the target space in a supervised way. We illuminate further structure through cross-validation on a modified training model, set up to mine and trap u.u.s in a marginal training class, created from examples of a random sample of the test set. Contrary to previous approaches, our method simplifies the solution, as it does not rely on budgeted queries to an Oracle whose outcomes inform adjustments to training. In addition, our empirically results exhibit consistent performance improvements over baselines, on both synthetic and real-world data sets.
LibGuides: Toolbox for the SJC Higher Ed Community: Collaboration & Meeting Tools

Guide to a wide variety of free or low-cost tools and resources useful to the Higher Education Community
A FIRST EDUCATIONAL APPROACH TO CONNECTING KNOWLEDGE AND SKILLS

This article through a search for contemporary research studies, raises a contemporary educational concern in the context of innovative approaches and new pedagogical practices in the field of education sciences. The aim is to make clear an educational philosophy that promotes the development of knowledge and attitudes in relation to the development of skills for a sustainable model of school living. Article visualizations:
Geostatistical-based geophysical model of electrical resistivity and chargeability data applied to image copper mineralization in the Ghalandar deposit, Iran

This research aims to construct 3D geophysical models of electrical resistivity and induced polarization by interpolating 2D inverted physical models through the geostatistical approach. The applicability of the method was examined for the Ghalandar porphyry-skarn copper deposit in the Agh-Daragh region, northwest of Iran. The 3D geophysical properties and block models of Cu grades were prepared by implementing the kriging interpolation method, whereby the recovered electrical models were closely linked to the Cu-sulfide mineralization. In order to evaluate the efficiency of the applied technique, the variogram models were validated using a cross-validation analysis of the kriging operation, proving the accuracy of data interpolation for each model. For the sake of meaningful correlation between geophysical models and Cu grades, the mineralization zones were extracted and subsequently propagated in the 3D space according to the generated physical properties. Meanwhile, the evaluation matrix was utilized to assess the performance of acquired results, where it confirmed that simultaneous consideration of physical models could much better determine the location of the copper mineralization. Also, the Swath plot was used as a second validation way to compare the anomalous zones.
‘중국 신문읽기’ 수업의 PBL적용 사례 연구

As a case applying the Chinese newspaper reading class to the PBL, the purpose of this study is to help comprehensive understanding of basic knowledge and Chinese society required by Chinese local studies and commerce studies, going one step further from the existing focus on language education. This study aims at presenting solutions to problems related to the actual job of understanding the linguistic aspects and seeking ways to enter the Chinese market, and improving the information gathering ability, knowledge acquisition ability, self-directed learning ability and cooperative learning ability. Through the process of raising questions, designing lessons, and evaluating, this study will be able to examine the positive effects of PBL classes in enabling learners to increase motivation for class by inducing interests in Chinese language, and understanding the overall part of politics, economy, society, and culture of China based on fundamental text of Chinese newspaper.
Personalised gesture recognition based on tri-axis accelerometer using Gabor filters

Human gesture is one of the most important ingredients of context information. In this paper, a novel gesture recognition framework based on tri-axis accelerometer mounted on a cell phone is proposed. Since the length of acceleration signals is variable according to different gestures and different subjects' input speed, most of recognition algorithms cannot be used. To solve this problem, we propose a novel resampling method by combining decimation and interpolation. After that, we propose 1D Gabor coefficients of acceleration signals as features. However, the dimensionality of Gabor feature space used in gesture recognition is very high. We adopt Boosting and a two-stage method PCA plus LDA to select and compress the Gabor feature. The classifier we used is fast multi-class support vector machine. The average recognition results of 17 complex gestures using the proposed Gabor feature are effective. The performance of experimental results shows that gesture-based interaction can be used as a novel human computer interaction for consumer electronics and mobile devices.
KOMUNIKASI IJIC: PROFESIONALISME SEBAGAI MODAL AKREDITASI JURNAL

In today's digital era, publication of scientific works is a standard for the progress of universities and even the State. Publication of articles in journals both nationally and internationally is a standard for the development of science and technology which is loved by many people including Indonesians. Therefore, IJIC is present as a scientific journal to contest in the standard of higher education progress. To support the management of online journal system journals and arouse the spirit of writing scientific articles, IJIC held a workshop on reputable article writing techniques and management of Online Journal System journal management, by presenting two reliable resource persons namely Al Khanif, SH, MA, Ph.D as Editor in Chief Journal Of Southeast Asian Human Rights and Director of the center for human rights, multiculturalism and migration (CHRM2) Chair Persons of the Indonesian Consortium for Human Rights Lectures, SEPAHAM Indonesia and Dr. Abdul Muhid, M.Sc as Editor In Chief Engagement: Journal of Community Service Kopertais Region IV Surabaya that has been accredited by Sprott 3. ID Scopus 57209454955. The results obtained from the workshop were at least three things namely First; the author is a writer who studies deeply, is written and then published. Second; the writing style of the IJIC article is seven in general namely the title. Ownership lines (byline), Abstracts, Keywords (keywords), Body of writing, references, and completeness of articles. Third; the editorial board of IJIC has an extraordinary passion for serving science, even though it is not supported by various things such as facilities and finance. Even though the journal management agency must have the ability to organize journal publishing. This is based because the institution must have the capital to publish a journal and have an IP address network device and have an online journal publishing information system or better known as an online journal system (OJS).
LibGuides: Toolbox for the SJC Higher Ed Community: Presentations, Graphics & Video

Guide to a wide variety of free or low-cost tools and resources useful to the Higher Education Community
Multi-frame deep learning models for action detection in surveillance videos

Visual surveillance technologies are increasingly being used to monitor public spaces. These technologies process the recordings of surveillance cameras. Such recordings contain depictions of human actions such as running, waving, and aggression. In the field of computer vision, automated detection of human actions in videos is known as action detection. Recently, deep learning models have been proposed for the task of action detection. Deep learning models for this task can be grouped into single-frame models and multi-frame models. Single-frame models detect actions using individual frames of videos whereas multi-frame models detect actions using sequences of frames. This thesis proposes to use multi-frame models as compared to single-frame models for action detection in surveillance videos. To compare multi-frame and single-frame models, we implement the ACT-detector. The ACT-detector is a deep learning model that takes as input a sequence of K frames and outputs tubelets (labeled sequences of bounding boxes). We train and evaluate ACT for various values of K on the VIRAT dataset. In our comparison, K=1 serves as the single-frame model and Kg1 as the multi-frame models. When compared qualitatively, we find that multi-frame models have less missed detections. When compared quantitatively, we find that multi-frame models outperform single-frame models in performance measures such as classification accuracy, MABO, frame-mAP, and video-mAP. To assess whether the improvements of multi-frame models yield purely from the increased number of frames, or also from the temporal order encoded by those frames, we experiment with training multi-frame models on unordered sequences of frames, i.e., sequences for which the frames are shuffled in time. When compared qualitatively, we find that multi-frame models have less precise localization when trained on unordered sequences. When compared quantitatively, we find that multi-frame models perform worse when trained on unordered sequences, indicating that multi-frame models learn temporal dynamics of actions. Nevertheless, even when trained on unordered sequences, multi-frame models outperform single-frame models for action detection in surveillance videos.
LB951 Interpretable pathologist-level classification of melanoma disease pathologies with a convolutional neural network pipeline

For diagnosing melanoma, hematoxylin and eosin (H&E) stained tissue slides remains the gold standard. Accurate diagnosis of melanoma pathology images plays an important role in early diagnosis and successful treatment for melanoma. Deep convolutional neural networks (CNNs) show strong discrimination power for complex medical image recognition tasks. However,the black box nature of CNNs limits their role in clinical settings, where interpretable diagnosis is indispensable. In this paper, we build a deep learning pipeline to precise diagnosis of melanoma using CNNs and localize possible malignant melanoma tissue by the gradient-weighted class activation mapping (Grad-CAM). First, we have built the largest multi-center melanoma database that contains 2241 digital whole-slide images from 1321 patients (1806 melanomas and 435 nevus). Further, CNN model was trained and tested on our database.The CNN model achieved AUC of 0.985, sensitivity of 93.6% and specificity of 95.9%. The accuracy of the algorithm was compared with that of 20 pathologists (0.933 vs 0.732). Finally, Grad-CAM was used and accomplished accurate localization of the melanoma salient feature area. The salient area agrees with the regions of interest detected by the pathologists. The method would help doctors understand how the model makes decisions based on the patient's pathological data. This study is the first work that combines interpretability with a deep learning model for the classification of nevus and melanoma in histopathology. These findings suggest that our approach can provide experts with an explainable, rapid, and accurate diagnosis of melanoma.Thus have a great influence on the deep integration of deep learning technology with clinical practice.
Building Subject Domain Ontology on the Base of a Logical Data Mod

The technology of automated construction of the subject domain ontology, based on information extracted from the comments of the TATNEFT oil company relational databases, is considered. The technology is based on building a converter (compiler) translating the logical data model of Epicenter Petrotechnical Open Software Corporation (POSC), presented in the form of ER diagrams and a set of the EXPRESS object-oriented language descriptions, into the OWL ontology description language, recommended by the W3C consortium. The basic syntactic and semantic aspects of the transformation are described.