Reviewerly/exHarmony huggingface dataset:
Secondary Screening Detection optimization Method for Electronic Components Based on Artificial Intelligence

In view of the problem about low components code recognition accuracy, low detection efficiency, long detection time and high detection cost in electronic components secondary screening detection, this paper proposes an optimization method of electronic components secondary screening based on artificial intelligence model. Firstly, use the gradient-based decision tree model to calculate the relationship between the detection items, find the optimal secondary screening combination scheme for electronic components, then complete electronic component code recognizing based on CTPN+Tesseract-OCR deep learning model, improve the accuracy of electronic component code recognition. The cases analysis shows that the proposed method in this paper has a higher digital recognition rate, fewer detection times in the same batch of products, indicating the effectiveness and applicability of this method.
Towards Efficient Alignment for Electromagnetic Side Channel Attacks

Side Channel Attacks (SCAs) reveal secret information from cryptographic algorithms implemented on embedded systems by exploiting its physical leakages. In order to defeat SCAs, hiding is one of the methods used as a protection against such attacks. The idea of hiding is to obtain a non-predictable offset of the attacking point in terms of time dimension. In order to cancel/defeat such countermeasure, the measured leakages are often desired to be well aligned. Pre-processing techniques are widely used to increase the success of the attack. This work investigates previous methods of alignment techniques used for electromagnetic traces. In addition to the comparison between them, we also propose combining filtering by wavelets with envelope detectors in order to improve the success rate of the elastic alignment technique which depends on Dynamic Time Warping (DTW) algorithm.
A multiscale mathematical morphology to enhance contrast, preserve brightness, and improve detail in the image

Contrast is defined as the difference in luminance between an object and its surroundings. The higher the contrast, the better the differentiation between the background and the object. Contrast enhancement allows images to be more suited to human visual perception. Contrast enhancement is important for its applications in different areas of science, such as medicine, engineering and geoscience [2]. Specifically, the multiscale top-hatransform has been shown efficient in improving different types of images, such as: medical images, visible images, infrared images, among others [1]. In this work, a new contrast enhancement algorithm based on the multiscale top-hat reconstruction transformation is presented. [...]
Rapid and accurate identification of newly emerging infectious pathogens using bio-optical sensor in clinical specimens (Conference Presentation)

Here, we report a bio-optical sensor based isothermal, label-free DNA and RNA detection assay for rapid and accurate identification of newly emerging infectious pathogens in clinical specimens. This bio-optical sensor shows rapid (<20min) and high limit of detection (10-100 copies/reaction) without any labeling in a real-time manner. We validated it with various samples infected with Coxiella burnetii, Orientia tsutsugamushi, severe fever with thrombocytopenia syndrome virus (SFTS virus), Middle East respiratory syndrome coronavirus (MERS-CoV); all the results showed high sensitivity and specificity compared with the conventional PCR methods. This bio-optical sensor is highly sensitive and specific and has proven to be applicable to a wide variety of newly emerging infectious diseases. Moreover, the clinical utility of the assay to identify multiple pathogens in clinical specimens is useful to overcome the limitation of the conventional approaches.
Support of General Public Education about Prevention of Antisocial Behaviour on the Web

This article presents a contribution to the general public education about the risks which people are facing on the web and how to prevent them. We first briefly characterize and present a typology of antisocial behavior on the web, analyze and compare some of the existing tools. Next, we present the design and implementation of a website to inform internet users about the possibilities of detecting antisocial behavior. A user study showed that the web application fulfills its purpose and is well accepted by the users.
Performance analysis of Compression Schemes on Audio Signals

The new technique of this paper studies the result of compression constraints and schemes bestowed in a very new and versatile paradigm to attain high compression ratios and acceptable signal to noise ratios of audio signals. Compression parameters are computed for variable frame sizes of level five to seven separate riffle rework (DWT) illustration of the signals for various analyzing mother wavelet functions. Results are obtained and compared for world threshold and level dependent threshold techniques. The results obtained conjointly embrace comparisons with Signal to Noise Ratios, Peak Signal to Noise Ratios and Normalized Root Mean sq. Error.
The Meaning Of Phenomenological Approach To Communication (In Comparison With System Approach)

The paper defines the meaning of phenomenological approach to communication as one of the main directions of communication research. To determine its advantages, it is compared to the systemic-functional approach. Communication in phenomenology is understood as interpersonal semantic communication at the philosophical, sociological level of this approach, its application in political communication is defined. Phenomenological and systemic-functional approaches to communication are compared on the following five points. Firstly, they have different scientific grounds. Cybernetics and mathematical information theory had the main influence on the theory of systems in sociology, while philosophy had the main influence on phenomenology. Secondly, the system analysis studies communication at the macro level. Conversely, the primary object of micro level research in phenomenology is the "inductive" study of the individual's mind. Thirdly, the normative-value level of society, which is reproduced by means of communication, is interpreted differently. Fourthly, the study defines the fundamental differences in understanding the meaning of language. Systemic approach sees a language as a set of symbols corresponding to the cybernetic code to regulate and maintain the regulatory system of society. Phenomenology assumes that a language fixes and expresses subjective ideas initially set in the "lifeworld" of a person. Fifthly, the political significance of communication is determined in different ways. The systemic approach leads to the technocratic rule of the informed elite, rather than to the democratic regime. The role of the phenomenological approach for the shaping of a genuine public opinion and the concept of the deliberative democracy is justified.
PHOTOVOICE APPROACH AS INVESTIGATION TOOL TO IDENTIFY THE CAUSE OF DISENGAGEMENT OCCURRENCE AMONG APATHETIC ENGLISH LEARNERS

Student disengagement is an ongoing challenge in college education phenomena. Henceforth, this present article aims to identify the cause of disengagement among apathetic English learners. This study utilized descriptive qualitative research focusing on Photovoice approach, using camera as an investigation tool to identify the causes; it is a methodology that can be adapted to a variety of topics especially for educational setting. Research participants were chosen through purposive sampling; they were asked to take photographs and share their voices on photos they took to represent their current reasons of disengagement. The researcher analyzed the digital images and the accompanying narratives for themes to emerge. Through the analysis process, two main themes emerged from this study regarding reported sources which cause them to disengage form learning. They are: Negative Self-concept and Language Intricacy. The theme of Negative Self-concept contains two categories with four to five labels in each category. Meanwhile the theme of Language Intricacy contains three categories and each category has four labels. With regard to empower the apathetic learners, a theme occurred in the findings which is activity-based program. This theme has two categories and each category has four to five labelsu
Agentividad: tensiones entre personalización e impersonalización en mensajes automáticos

This paper examines a type of discourse that is becoming increasingly meaningful in our culture: automated messages via email, SMS and phone answering services. The work reported here is part of an ongoing research project that examines the grammatical and discursive constraints of the phenomenon of agentivity (Menendez, 2016). We spe cifically analyze the effects of agentivity on the negotiation of responsibility in automati cally generated messages. We use Systemic Functional Grammar (Halliday, 1994, 2008; Halliday & Matthiessen, 2004, 2014), supplemented by a discursive strategic approach (Menendez, 2000, 2009), to analyze how agency is structured and distributed between participants: the institutional sender and the individual addressee. The results confirm our hypothesis: the participant “sender” is constructed by two conflicting discourse strat egies: a strategy oriented to impersonalization, on the one hand, and a strategy oriented to personification, on the other. ARK:  http://id.caicyt.gov.ar/ark:/s26183455/f2rtiujcn
AN ANALYSIS OF CHARACTER EDUCATION OF ENGLISH TEXTBOOK “WHEN ENGLISH RINGS A BELL” FOR EIGHTH GRADE OF JUNIOR HIGH SCHOOL

The current study is aimed at investigating embedded characters that can be found in the English textbook entitled When English Rings a Bell for Eighth Grade of Junior High School. More specifically, this study is to analyze whether picture and utterance reflect the eighteen character building values. This study was qualitative approach using content analysis. The data used in this study were in the forms of utterances and pictures in the textbook. The primary instrument of the research was the researcher and the questionnaire was also employed as the second instrument. Some steps were undertaken during the data collection: reading utterances and regarding pictures carefully, understanding specific parts related to the research focus intensively, selecting the utterances and pictures related to the research questions, making a description of the data accompanied by a coding process and inserting the data into the table, analyzing the data with eighteen character, and distributing the questionnaire to the rater in order to validate the analysis of each data. The results related to the occurrence of characters, all 18 characters described by Kemendiknas were found in the pictures and utterances of an English textbook entitled When English Rings a Bell for eighth grade of junior high school. Friendliness/ communication character was the most dominant character found in the pictures and utterances with 38 data. It implied that the authors wanted to raise the students’ friendliness/ communication.
유학생의 수강 신청 문의 담화 분석 연구

This study investigates differences between international students and Korean undergraduates in terms of discourse structure, patterns, and linguistic features of course registration inquiries. The administration office visit inquiries regarding the course registration from a total of 23 international students and 14 Korean undergraduates were recorded and transcribed employing the Jefferson transcription system. The data were inductively analyzed and coded with the use of NVivo 12 Pro. The three significant differences were found between two groups: In the international students’ inquiries, (1) they had difficulties in predicting a distant adjacency pair; (2) their competence of target linguistic items was lacked; and (3) the way they request was insufficient in terms of politeness and validity. Based on the results, some pedagogical implications were suggested. (Ewha Womans University)
Pengembangan Buku Panduan Penggunaan Aplikasi Resertifikasi Kompetensi untuk Karyawan Perhimpunan Dokter Sepsialis Penyakit Dalam Seluruh Indonesia

This development research aims to produce a print media in the form of a guidebook to use of the Application “Resertifikasi Kompetensi KIPD”. This guidelines is meant to be used by employees Branch of PAPDI in Indonesia. This development research is referring to Rowntree’s model that consists of three major stages; planning; preparation of writing; writing and editing. The evaluation on this development research was conducted through expert review and one-to-one evaluation. The evaluation involving one subject matter expert, one media expert, and five users. The average value obtainded from the expert review by the subject matter expert was 3,46 overall excellent. The average value obtainded from the expert review by the media expert was 2,56 overall good. In one-to-one evaluation, obtained the average score 3,4 which signifies the overall guidance is excellent and can be used to guide the employees Branch of PAPDI to using the Application “Resertifikasi Kompetensi KIPD” correctly and precisely.
Effect of middle aged women’s leisure enthusiasm upon pereceived physical competence and happiness

The purpose of the study was to examine effect of middle aged women participating in sports upon pereceived physical competence and happiness. The 240 women joined in sports for more than 6 months to be 40 to 65 years old at 8 fitness centers and gu-sports centers in Seoul and Gyeonggi. The findings were:<BR> First, the ones who were aged to have high educational background had high pereceived physical competence and happiness.<BR> Second, efficiency, energy and devotion had affirmative influence upon pereceived physical competence.<BR> Third, the women"s pereceived physical competence energy and devotion had affirmative influence upon happiness.<BR> Sports program for the women should be developed to stimulate leisure desire and to improve health, happiness and life quality
A Mandatory Integrity Control Model for the KasperskyOS Operating System

Existing models of mandatory integrity control in operating systems restrict accesses of active components of a system to passive ones and represent the accesses directly: subjects get read or write access to objects. Such a representation can be used in modeling of monolithic operating systems whose components that provide access to resources are part of the trusted computing base. However, the implementation of these components is extremely complex. Therefore, it is arduous to prove the absence of bugs (vulnerabilities) in them. In other words, proving such a model to be adequate to the real system is nontrivial and often left unsolved. This article presents a mandatory integrity control model for a microkernel operating system called KasperskyOS. Microkernel organization of the system allows us to minimize the trusted computing base to include only the microkernel and a limited number of other components. Parts of the system that provide resource access are generally considered untrusted. Even if some of them are erroneous, the operating system can still provide particular security guarantees. To prove that by means of a model, we introduce the notion of object drivers as intermediaries in operations on objects. We define the requirements that object drivers must satisfy. We also add the means for analysis of the consequences of violations of the requirements. We state and prove that the model either preserves integrity if all active components satisfy the requirements, or restricts the negative impact if some of the components are compromised. Correct implementation of the model guarantees that compromised components will not affect components with higher or incomparable integrity levels. We describe a policy specification language developed in accordance with the model. We provide an example of using it to describe a security policy that ensures a correct update of a system operated by KasperskyOS.
PEMANFAATAN METODE CERBER UNTUK MENINGKATKAN AKTIVITAS DAN PRESTASI HASIL BELAJAR SISWA PADA MATA PELAJARAN IPS

Abstract&#x0D; This research is aligned with the wishes of researchers to: 1) Develop a Cerber Method (Continuous Story) to increase the activities of students of Social Sciences Subjects in Class IX A Students of SMP Negeri 1 Sekaran 2018/2019 Academic Year. (2) Knowing the Cerber Method (Continuous Story) can improve Student Learning Outcomes Achievement in Social Studies Subjects in Class IX A Students of SMP Negeri 1 Sekaran 2018/2019 Academic Year. The activeness of students in asking from 30.43% in cycle 1 to 91.30% in cycle 2. The activeness of students in answering the original question 26.09% in cycle 1 to 86.96% in cycle 2. The activeness of students in expressing their original opinion was 30.43% in cycle 1 became 78.26% in cycle 2, so did the percentage of mastery learning 78.26% to 95.65% in cycle 2, the average grade of grade IX A was 75.00 in cycle 1 being the average grade of grade IX A was 94, 00 in cycle 2. The activeness of students also seems to be very enthusiastic in completing assignments given to students showing improvement from cycle I to Cycle II. From the results of interviews with students about the learning process that has been going on, the results are the same as in cycle 1, where all students express very happy. Thus, after analyzing the results of the second cycle, it was decided not to proceed to the next cycle because this research was considered complete. From the results of the analysis of the learning process carried out in cycle 1 and cycle 2 it can be concluded that the Cerber Method (Continuous Story) can increase the activity of Social Studies Subjects in Class IX A Students of SMP Negeri 1 Sekaran 2018/2019 Academic Year. The Cerber Method (Continuous Story) can also improve the Achievement of Student Learning Outcomes in Social Studies Subjects in Class IX A Students of SMP Negeri 1 Sekaran 2018/2019 Academic Year.
Feature Fusion and Dataset Generator for Vehicle Classification & Ranging

Feature compression and conditioning are some of the important enhancers for Neural Networks to classify efficiently in the least duration per epoch cycle. However, due to a large number of redundant features seen in raw images, the number of input parameters for artificial neural networks drastically increases thus increasing the data storage, processing requirements as well as the duration of training. The use of Deep Neural Networks is also an approach, but a relatively higher demand for computational resources is inevitable. Mapping the image matrix to Histogram Oriented Gradient (HOG) vectors and Local Binary Pattern (LBP) reduces the unused feature information held by the initial image by successfully being able to encompass the most necessary features such as edges or contours of vehicles in the form of vectors for further classification through artificial neural networks as mentioned earlier. Extensive validation has been performed on separate datasets with different objectives. Furthermore, investigation shows that for increased accuracy, the fusion of the two vectors should be used. Through the implementation of this process, we can easily reduce the high density of hidden neurons and still obtain better performance. Additionally, our Dataset Generator Module (DGM) has drastically improved upon the uptime of manually tagging subparts of images from a raw video from 40 minutes initially to less than 2 minutes per frame. In view of capturing natural motion, orientations and perspective of moving vehicles, building the datasets right from the video is preferred, for this reason our unique DGM also accounts for differential window sizing as well which renders the amount and variation of data much more efficient leading it to further be able to identify a threshold distance of vehicles as well.
Decentralized Policy-Based Private Analytics.

In this paper we present PoliFL, a decentralized, edge-based framework that supports heterogeneous privacy policies for federated learning. We evaluate our system on three use cases that train models with sensitive user data collected by mobile phones - predictive text, image classification, and notification engagement prediction - on a Raspberry Pi edge device. We find that PoliFL is able to perform accurate model training and inference within reasonable resource and time budgets while also enforcing heterogeneous privacy policies.
The Academic Guidebook Development of Indonesian and Literature Education Department

The purpose of this research is to make the PBSI FKIP UST Academic Guidance product relevant to RIP and the USSI PBSI and FKIP vision and mission. The research data in the form of documents were collected by observation and interview and analyzed descriptively qualitatively. Research procedures with (1) Exploration / needs analysis phase (2) Development Phase (3) Testing Phase. Based on needs analysis, academic manuals are needed by most lecturers, students and education personnel to carry out academic administration services with clear and standard guidelines. The academic manuals were created by searching academic guide books from several study programs outside the university and referring to the UST statute, university academic rules, and FKIP academic guidelines. The draft academic guidebook for the Language and Literature Education Study Program that has been made is validated by the Vice Chancellor for Academic Affairs, Deputy Deans for Academic Affairs, lecturers, and student representatives. After being noted by the validator, the draft academic guidebook was revised according to the validator's notes and recommendations. Then, a draft of the academic manual was presented in the Focus Group Discussion of the Indonesian Language and Literature Education Study Program to be established as a draft of Academic Guidelines that was appropriate to be used in the FKT UST Indonesian Language and Literature Education Study Program.
Design of Operational Management Information Systems for Route Licenses at the Ternate City Transportation Agency based on Android

Abstract: The use of information technology in terms of providing data to support the decision-making process has made information systems an essential resource. Ternate City Transportation Agency as a Transportation Agency whose job is to process public transport data, requires an accurate and accurate information system. This study discusses data processing on route permits that are integrated with an android-based database. This research uses Research and Development research procedures. The purpose of this research is to create an information system to process land transportation route permit data and simplify the process of route permit services at the Ternate City Transportation Office so that in submitting the requirements for route permits, it can be accessed via the internetKeywords: Information Systems, Operations, Route Licenses, Android