Reviewerly/exHarmony huggingface dataset:
Dimensional control non-contact mechanical parts based on Hough transformation in image processing

Currently with the evolution of manufacturing technology such as high speed machining additive manufacturing... where mechanical parts are mass produced in industrial production, and the workload of traditional manual control is heavy and imprecise, the control efficiency is low, a contactless control system based on image processing is presented. The control system hardware includes a light source, optical microscope and computer, the control system adopts the transmitted illumination to highlight the contour function of mechanical parts. The pretreatment is first done to the image captured by the Matlab software, then threshold segmentation and edge contour extraction are conducted; and finally, to improve geometric element detection accuracy, which is based on the Hough transformation algorithm. The results show the validity of the method and the feasibility of the algorithm in the system, it improves the efficiency of the measuring system and performs the measurement in line without contact of mechanical parts.
Prediction of University Students Academic Level based on Linear Regression Model

Aiming at the problems of the prediction results by using the existing methods for university students' academic level prediction, such as large error and long time-consuming prediction, this paper proposes a method based on linear regression model to predict the academic level of university students. In order to improve the accuracy and real-time of prediction, Firstly, the students' academic related information is denoised, and then the denoised academic level information is classified. Finally, the linear regression model is used to predict the academic level of university students. The experimental results show that compared with other methods, the prediction error rate of the proposed method varies from 1% to 8%, and the prediction accuracy rate is higher. The predicted duration of the students academic level is in the range of 1 minute to 5 minutes, and the prediction speed is faster.
The Implementation of Linguistic Functional Systemic Approach on the Reading Comprehension to Improve Students Reading Ability

This research is conducted to improve the students reading comprehension ability in French Department of State University of Medan.The specific objective of this research is to improve the process as well as the result ability in reading French texts through the Linguistic Functional Systemic approach.The type of this research is action research, conducted on 48 students of French education in academic year 2014-2015.This action research refers to the cycle of action research of Kemmis and MC Taggart which consist of four steps, planning, acting, observing, and reflecting.The results indicate that the ability of reading comprehension of students for each cycle shows satisfaction.Cylce 1 refers to the aspect lexicogrammar in text, cycle 2 the aspect of discourse semantic, and cycle 3, the register.This research shows that the linguistic functional systemic approach can be applied as an alternative to improve the students French reading comprehension.
Uji Kemampuan Tumbuh Isolat Bakteri dari Air dan Sedimen Sungai Tallo Terhadap Logam Timbal (Pb)

The stretch of the Tallo River which stretches across the Makassar city area, and not far from the Makassar Industrial Area, causes contamination of various heavy metals. Some bacteria grow in the presence of toxic properties on heavy metals. The purpose of this study was to obtain bacterial isolates that were able to grow at several concentrations of lead (Pb).Bacteria were isolated by using Nutrient Agar has been added Pb (NO)3 10 ppm. Resistance test was conducted by turbidimetry using a spectrophotometer. Based on research that has been done, the result of isolation of resistant bacteria lead from Tallo River showed that 5 isolates from samples of sediment with code isolates SM3, SM5, SM6, SM9 and SM10, while for the water samples obtained 3 isolates by code isolates AR1, AR2 and AR3. Ability to resist bacteria ie until the concentration of 50 ppm, while the highest growth ability of each different isolates, the highest growth capability isolates SM3, SM6 SM10 and AR3 at a concentration of 10 ppm. SM5 isolates had the highest growth capability at a concentration of 15 ppm. AR2 isolates had the highest growth capability at a concentration of 20 ppm. Isolates SM9 and AR1 has the highest growth capability at a concentration of 25 ppm.
Hardware Accelerator for Nuclei Detection in Histopathology Images

In pathology based Computer Aided Diagnosis, accurate detection of cell nuclei is an important step. Accurate and efficient detection of cell nuclei in high resolution histopathological images is a highly compute intensive task. Hence, nuclei detection algorithms take a significant amount of processing time on general purpose processors. To reduce the processing time and assist the doctors in real-time, a special hardware accelerator which can process the complex computational tasks in parallel can be helpful. In this paper, we propose an FPGA based accelerator architecture for nuclei detection in Whole Slide Images using generalized Laplacian of Gaussian filters. The experimental results show that the implemented architecture provides a significant improvement in processing time without losing detection accuracy.
Research and Practice on Individualized Training of Teaching Ability for Young Teachers

The construction of teaching staff is the premise to ensure the quality of education and teaching.Young teachers are the fresh force of teaching and educating people.Strengthening the cultivation of young teachers' teaching ability is the key to improve the level of education and teaching.This paper first analyses the predicament of young teachers' development, and then systematically expounds the path of individualized cultivation of young teachers' teaching ability from three aspects, finally puts forward the planning and development trend of young teachers' team construction from six aspects, which provides a useful reference for the growth of young teachers' teaching ability and practical innovation ability in our school.
Proposal of an interactive projection mapping using seats of multiple chairs

In this paper, we propose an interactive projection mapping using multiple chairs. In this content, images are projected from the celling to the seat of the chairs. The projected image would change depending on the arrangement of the chairs interactively. When the chairs are placed apart, a small image is projected on the seat of each chair. When the chairs are gathered, a large image is projected on the entire set of the chair seat. We implemented a miniature prototype system and experimented.
Eksplikativni markeri u nastavi akademskog čitanja na italijanskom jeziku

Metadiscourse, as a specific form of writer-reader interaction, implies a set of linguistic and rhetorical devices indicating text organisation, the author's presence in the text, his/her relationship with the content and the readers, all of which can be very helpful in terms of the text reception and interpretation. The aim of this paper was to investigate to what extent the students of the Humanities who learn the basics of the Italian academic language are able to identify and use one of the commonest types of metadiscourse signals, namely explicative markers, also known as code glosses in Hyland's taxonomy (Hyland, 2005: 102). Their function is to clarify and determine more closely specific segments of a text, which in turn improves readers' understanding and reception of the text. Descriptive-analytical method and survey as a technique were used in the research. A reading comprehension test and a questionnaire were the research instruments. A convenient sample included 40 second-year students of the Faculty of Philosophy, University of Belgrade, whose CEFR level of Italian Language ranged from level A2 to level B2. The obtained results indicated that, after a brief and explicit instruction on this type of markers, the majority of the respondents were able to identify the markers in the text. However, only a few were very successful in understanding and using receptively the metadiscourse tools in question. These findings can be explained by the respondents' under-developed linguistic competencies for this type of task, as well as by the complexity of the academic discourse in Italian, its nonlinearity, a considerable lexical density, and the prevailing hypotaxis. The obtained results give room to a conclusion that students would be able to use this type of linguistic and rhetorical tools efficiently if the curricula focused more on a systematic and extensive training and practicing of the explicative markers which help readers to read and understand academic texts more easily.
Research Guides: Tips for Using Library Search: Searching

Provides some tips and strategies for effectively using the University of Michigan Library search engine.
H.761 Support of a New Syntax to Refer NCL-Node-Properties Instead of the Current "Take It From There" Syntax

Every NCL link relates two or more Node interfaces. When an NCL developer defi ne a link bind, however, it should always use BOTH component and interface attributes. This leads to two problems: (a) require defi ne two XML elements, which is tedious and error- prone; (b) require bad "Take It From There" workaround to access an interface from a Node participating in the link. We propose that component is optional. Then each interface can be accessed by an id which must be unique regarding the events of the same type in its container object. We propose a naming convention for identifying interfaces within a Document
Online dis-trust? Relationships between Cybersecurity and Online Transactions

This paper explores different relationships among various cybersecurity aspects and online transactions. Particularly, we focus on three online security aspects: (1) perception of network security, (2) being victim of a cyberattack, and (3) engaging in risky online activities. Using a Structural Equations Model (SEM) and the After Access 2017-2018 dataset (for six Latin American countries), we characterize the relationships between each of these three aspects, along with the importance of other structural variables. The main results are: (1) user’s perception of security plays a key role in e-commerce activities adoption - individuals who report feeling insecure in the Internet tend to engage in significantly fewer online transactions; (2) there is a strong positive relationship between e-commerce use and the likelihood of being a cyberattack victim - this group of e-commerce users would be more vulnerable; (3) individuals with lower educational and socioeconomic levels, and females, are in greater disadvantage in the adoption of e-commerce activities.
Use of risk-management as a new technology in the system of education management

Actuality of material, stated in the article, is conditioned by the necessity of maintenance and increase of competitiveness of higher educational establishments at the market of educational services.Implementation of risk management in activity of higher educational establishments is rather new direction in the system of higher educational institutions government in Ukraine, that will give an opportunity to correct strategy of development taking into account the degree of risk, to promote effectiveness of functioning of educational institutions and provide development in the conditions of uncertainty, overcoming negative and following positive tendencies.
An Epistemic Simplified Interval Temporal Logic of Moszkowski for Fuzzified Justification

In 1983, B. Moszkowski introduced a first intervally-interpreted temporal logic system, the so-called Interval Temporal Logic, denoted by ITL. ITL forms the modal-temporal system suitable to represent temporal relations between intervals and their subintervals and it found a broad application area in system specifications. This paper is aimed at proposing a kind of an epistemic extension of a simplified propositional version of ITL in order to express fuzzified justifications in it. This newly introduced system is also semantically interpreted in an interval-based fibred semantics. The theoretic considerations are exemplified in some epistemic situation extracted from the classical Traveling Salesman Problem.
Pupils' self-regulated learning of technology and engineering contents

Nowdays, we can access various information fast and easy. The real challenge lies in solving complex problems. Therefore there is more emphasis put on metacognitive strategies even in educational system. The aim is towards students developing the skills of selfregulative learning (SRL) during their active schooling period. They should know different approaches to learning (learning strategies), have set a clear goal (learning achievement), and direct their learning process until the final goal. Based on the findings of research papers of various authors, that students interest towards design and technology in recent years is on the descending curve, some are mentioning that the reasons lie in bad SRL, so in this paper we researched just that.We described the span of SRL, the subject of design and technology and the students attitude towards the latter. We set up a questionnarie, measuring the SRL skills and attitude towards design and technology. It was presented to 6th, 7th and 8th grade students, who are participating in competitions in the design and technology field, as well as to others. In this way we made a comparative study of these two groups, grade and gender based.The largest gaps were between the group of students who participate in competitions and others. Differences came out in SRL skill set, as well as in attitude towards design and technology. It was clear that their self – efficiency is better developed (moderate effect), they have higher intrinsic value (moderate effect), they meet with higher test anxiety (weak to moderate effect), they are more skillful in self – regulation (moderate effect). Other than that, they have stronger technological career aspirations (strong effect), have higher interest in design and technology (strong effect), have lesser resilience towards design and technology (moderate effect), are more aware of the consequences and importance of design and technology (moderate effect), are more satisfied with design and technology than other students (moderate effect) and are more satisfied with the class itself (moderate effect). In this way we can see the interrelation of these two subjects. Based on the literature and on the research we therefore presented some guidelines for improvement of those two. Shortly, we can mention the importance of a qualified teacher who is educated in cultivation of SRL skills and is implementing them in design and technology classes as well as possible. According to the given situation (students, problem, other circumstances) he should choose the strategies, not just implementing them in class, but teach the students about them also. This will have a positive effect on the students attitude towards design and technology.
초급 한국어 교실 담화에서의 ‘맞장구' 양상 연구

The purpose of this study is to examine the types of back-channel used by teachers in the beginning level Korean classroom discourse. The results of this study are summarized as follows: Firstly, the back-channel of teachers in classroom discourse are classified into three types: discourse mark(basic type, affirmative type, conversion type), repetition and substitution expression (repetitive type, substitution type), emotional expression (surprise type, regrettable type, gladness type, disappointed type), and examined its frequency and function. Secondly, the most frequently used were the basic type and the repetitive type. The basic type of falling tone expresses the listen and agreement of the learner 's previous utterance with 'ah', 'uh', 'um' etc.. The repetitive type of rising tone expresses that the learner's previous utterance was wrong and falling tone expresses that the learner' was successful. Lastly, emotional expressions that could be caused emotional misunderstandings were rarely used. Since this study is based on the recorded material, couldn't be examined nonverbal back-channel. Nonetheless it shows meaningful result that the teachers use different types of back-channel in the classroom discourse on purpose.
Remarkable point extraction from overlapping analysis of view fields in multiple smartphones shooting environment

In this paper, we propose a method of object tracking using viewing directions of multiple spectators' cameras. Attitude sensors in a smartphone can measure its shooting direction on time. By collecting the directions and analyzing the overlapping situation of multiple view fields, a remarkable part of the scene situation can be extracted as the most overlapped area of them. We implemented the analysis by using the blending function with a configuration of interested degree map in the view fields. We adopted it to actual sport scene situations, also, we got good estimation results close to the ground truth.
Estimation of objective understanding measure based on student’s nonverbal behavior recognition in a person-to-person teaching situation

In this paper, we propose using image recognition techniques to estimate the “understanding measure” in person-toperson teaching situations. The phrase “understanding measure” refers to how strongly a teacher feels a student understands a topic. First, we extract a student’s nonverbal behavior (head movement, gazes, and blinking) as the features for the estimation process. Next, we calculate the subspace from the aforementioned feature by using principal component analysis (PCA) and linear discriminant analysis (LDA). Finally, we classify unknown data as either “understood” or “did not understand” by using a kNN classifier in subspace. Our experiments confirmed that the Fmeasure of the classification “understood” by our method was 0.75 and “did not understand” was 0.60, indicating that our method improved F-measures 0.38 and 0.11, respectively, compared with previous methods.
What is in those compact shelves? Auditing and quantifying a government documents collection

As academic libraries evolve, the complexity and breadth of federal government documents collections pose challenges to librarians. These materials are often shelved under the Superintendent of Documents classification system (SuDoc) and, depending on the library, may be only partially cataloged. The collection’s monolithic nature may complicate projects to catalog, promote, move, or deaccession materials. Using a collection inventory to define mini collections by SuDoc area helps quantify these large collections for academic librarians. The collection inventory system described in this article can be customized and applied beyond the scope of government information. Its approach informs how we assess and build collections, how we inherit collections, and how we work within established systems.
DWSpyder: a new schema extraction method for a deep web integration system

The deep web is a huge part of the web that is not indexed by search engines. The deep web sources are accessible only through their associated access forms. We wish to use a web integration system to access the deep web sources and all of their information. To implement this web integration system, we need to know the schema description of each web source. The problem resolved in this paper is how to extract the schema describing an inaccessible deep web source. We propose our DWSpyder method as being able to extract the schema describing a deep web source despite its inaccessibility. The DWSpyder method starts with a static analysis of the deep web source access forms in order to extract the first elements of the associated schema description. The second step of our method is a dynamic analysis of these access forms using queries to enrich our schema description. Our DWSpyder method also uses a clustering algorithm to identify the possible values of deep web form fields with undefined sets of values. All of the information extracted is used by DWSpyder to generate automatically deep web source schema descriptions.
FRIEND RECOMMENDATION FOR EFFICIENT NOVEL SECURE COMMUNICATION USING ONLINE SOCIAL NETWORK

Recommendation system (RS) plays a vital role for the online data users. But most of the approaches based on the RS in online public networks are not reliable with the interest of data users. In order to overcome the untrustworthiness and uncertainty of user based RS in public network. We have proposed a Novel Secure Key Distribution based Recommendation System (NSKD-RS) for preserving the privacy of the data users using neural networks. Data User (DU) send request to other DU through the Trusted Third Party (TTP). TTP will search the similar interest DUs based on the received search request. The DUs interest is placed in terms of tag. If the DU interest matches with other DU interest then two DU’s will become friends by using neural networks. The cloud has the collection of the data user’s files, here the neural networks are used for the data classification based on the data user’s interest in addition to neural networks provide the recommended users based on the similar interest. We have proposed the secure recommendation system based key distribution mechanism for the tag decryption as well as to have secure communication between the DUs. The secure tag matching process is developed in order to reduce the computation complexity as well as to have the secure data sharing between the DUs. By using our proposed NSKD-RS the commutation as well as the communication complexity is reduced.
Penanganan Anak Kesulitan Berbahasa Melalui Media Handpuppet Pada Kelompok B Di TK Aisiyah Pabelan Kartasura Tahun Ajaran 2018/2019

Alya Husna/A520150019. PENANGANAN ANAK KESULITAN BERBAHASA MELALUI MEDIA HANDPUPPET PADA KELOMPOK B DI TK AISIYAH PABELAN KARTASURA TAHUN AJARAN 2018/2019. Essay. Teacher Training and Education Faculty, Muhammadiyah University Surakarta. August, 2019.This study aimed to deal with childeren with language difficulties using handpuppet media in groub B at Kindergarten of Aisyiyah Pabelan Kartasura. This type of research is descriptive qualitative. Data collection techniques used were observation, in-depth intervie, and questuonnaires. Handpuppet media is used to help reduce children’s language difficulties while interviews with class teachers and parent to complete the data and history of disorders experienced by children. This research was conducted in april 2019 at Kindergarten of Aisyiyah Pabelan Kartasura with 15 children in groub B. Data validity techniques used in this study were the persistence of filed observations and triangulation techniques. The results of the study indicated that handling using handpuppet media in teaching and learning in the class could handle children with difficulties on three subjects in groub B Kindergarten of Aisyiyah Pabelan. At the beginning of the observation before the research and the handling, the three subjects found difficulties to answer questions from others or the teacher in the class. When talking to the three objects, listening well and looking at the expression on their lips were nedded. However, after the handling and the research of telling stories using handpuppet media during one week continously, the children were able to answer questions and wanted to play handpuppet in a clear voice and were able to answer questions from others clearly