Reviewerly/exHarmony huggingface dataset:
A Multi-Modal Transformer-based Code Summarization Approach for Smart Contracts

Code comment has been an important part of computer programs, greatly facilitating the understanding and maintenance of source code. However, high-quality code comments are often unavailable in smart contracts, the increasingly popular programs that run on the blockchain. In this paper, we propose a Multi-Modal Transformer-based (MMTrans) code summarization approach for smart contracts. Specifically, the MMTrans learns the representation of source code from the two heterogeneous modalities of the Abstract Syntax Tree (AST), i.e., Structure-based Traversal (SBT) sequences and graphs. The SBT sequence provides the global semantic information of AST, while the graph convolution focuses on the local details. The MMTrans uses two encoders to extract both global and local semantic information from the two modalities respectively, and then uses a joint decoder to generate code comments. Both the encoders and the decoder employ the multi-head attention structure of the Transformer to enhance the ability to capture the long-range dependencies between code tokens. We build a dataset with over 300K <method, comment> pairs of smart contracts, and evaluate the MMTrans on it. The experimental results demonstrate that the MMTrans outperforms the state-of-the-art baselines in terms of four evaluation metrics by a substantial margin, and can generate higher quality comments.
Picture Exchange Communication System (PECS): A strategy to improve children’s speaking ability

The implementation of Picture Exchange Communication System (PECS) strategy in this research aimed to improve children’s speaking ability. The indicators of speaking ability are child understands the meaning of the word used, able to connect the word to the denoted object, and to pronounce words understood by others. In other word, child is able to repeat sentences, ask questions with the correct sentence, and express opinions to others. This study uses qualitative method with the type of action research. The study was conducted in two cycles, with 3 meetings in each. The design of this study starts from the planning, implementation, observation, and reflection. The participants were 17 children aged 4-5 years old of group A1 TK ABA 4 Mangli Kaliwates Jember. The result showed that prior to PECS the children's speaking development rate was 17%, after the PECS action the speaking ability increased from 35% in the first cycle to 88% in second cycle. This shows that the speaking ability of early childhood can be improved with PECS approach.
Analysis of generative adversarial network targeting anti-forensic in JPEG compressed domain

With the massive improvement in deep learning, application areas are also expanding significantly particularly for multimedia information forensic, antiforensic, and counter anti-forensic in the field of forensic analysis. Generative adversarial network (GAN) is one of the most popular deep learning models which is widely being used for anti-forensic JPEG compressed images to generate ground truth like images for making fool the JPEG compression detector. In this paper, we analyze the generator and discriminator in the GAN model to generate more realistic images and detect between generated and original images. We investigate the proposed method using two different GAN models in which the generators and discriminators are trained separately in each model. Then we use the generated images produced by the generator in one model to detect whether it is generated or original images with discriminator in another model and vice-versa. The reconstructed images produced by both generators are more realistic in visual perception and have the better quality that can deceive the JPEG compression detector. The discriminators are capable of differentiating between the generated and real images only if the generated images are reconstructed by their own generators. If we try to classify the generated images obtained by the generator in one model using discriminator in another model, the discrimination results reduce at an alarming rate.
Simpson's Bias in NLP Training

In most machine learning tasks, we evaluate a model M on a given data population S by measuring a population-level metric F(S;M). Examples of such evaluation metric F include precision/recall for (binary) recognition, the F1 score for multi-class classification, and the BLEU metric for language generation. On the other hand, the model M is trained by optimizing a sample-level loss G(S_t; M) at each learning step t, where S_t is a subset of S (a.k.a. the mini-batch). Popular choices of G include cross-entropy loss, the Dice loss, and sentence-level BLEU scores. A fundamental assumption behind this paradigm is that the mean value of the sample-level loss G, if averaged over all possible samples, should effectively represent the population-level metric F of the task, such as, that E[ G(S_t; M) ] ~ F(S; M). In this paper, we systematically investigate the above assumption in several NLP tasks. We show, both theoretically and experimentally, that some popular designs of the sample-level loss G may be inconsistent with the true population-level metric F of the task, so that models trained to optimize the former can be substantially sub-optimal to the latter, a phenomenon we call it, Simpson's bias, due to its deep connections with the classic paradox known as Simpson's reversal paradox in statistics and social sciences.
A Job Description and Analysis for Japanese Survival Swimming Leaders Using The DACUM Method and Research on Development Plans in Comparison with Korean Survival Swimming

Japanese survival swimming leaders(currently elementary, middle, and high schools’ survival swimming leaders) are in charge of the instruction of survival swimming in Japan. This study used the DACUM method in order to investigate the job description and analysis of Japanese survival swimming leaders. In the pursuit of this purpose, the core obligations and tasks needed for survival swimming leaders were identified through a preliminary investigation and two-times experts’ conferences. The, a questionnaire was made based on the pre-existing data and the details from the conferences. The following results were drawn from the questionnaire. First, 8 obligations and 32 tasks were found for survival swimming leaders. Second, priorities were decided based on the investigation of the perception of task level, perception of significance, and frequency of duties in the education process of Japanese survival swimming leaders. Through the comparison between the education system in Japan to that of South Korea for survival swimming leaders, the results of this study reveal that survival swimming leaders’ active participation rates and an increase of compulsory training time are required in order to make the best use of the current commissioned survival swimming lessons to increase the quality of training. In addition, this study implies that practical training programs for survival, including flexibility of class operation, swimming with clothes on, and sea swimming during vacations, are also needed.
Inovasi Sistem Terminal Parkir Elektronik (TPE) di Kota Makassar

Thiis study aimed to determine the innovation of the staffing information system in the BKPSDM Gowa Regency. The informants in this study whwe 6 people. This study used qualitative with the type of phenomenological. Data collection techniqueswere observation,interviews and documentation.The result of the study showed that the personnel information system in BKPSDM Gowa Regency was quite good and had to be developed further. This could be seen from the innovation of the staffing information system (SIMPEG).The application that had been implemented in Gowa Regency which as a whole had made innovations that made it easy for employees to obtain information, data and various programs by accesing staffing data through simpeg. The application of simpeg innovation in Gowa regency through inputs,processes,output and feedback designed to store all staffing data.Online network in simpeg innovation in gowa Regency could be done by using an internet connectivity network system, LAN and quota access that made it easy for employees to access staffing information.
A Low-Power CMOS Quantum Controller for Transmon Qubits

The development of large-scale quantum computers will require the implementation of scalable control electronics, which may have to operate at temperatures as low as 4 K. In this paper, we review a first-generation control IC that has been implemented for use with transmon qubits. We first explain the requirements which such an IC must meet and then present the circuit design. We next describe a series of quantum control experiments carried out with the IC. The paper concludes with a discussion of future work.
국내 유튜브 채널의 실용음악 미디(MIDI) 작·편곡 강의 콘텐츠 발전방안에 관한 연구

This study selected six Korean YouTube channels that provide MIDI composition/arrangement lecture contents. 916 MIDI composition/arrangement lecture contents were analyzed. The analysis criteria are to be focused on the following standards: 1) the instructors appears in the clips, 2) learning objectives are presented, 3) the length of lecture contents, 4) subtitles are used, 5) other media materials are used, 6) supplementary material and evaluation are provided, 7) interaction, 8) continuous channel management. Through this, this study presented research data on the current status of Korean YouTube Channels providing MIDI composition/arrangement lecture contents and suggested the measures to improve them that will be produced in the future as follows. First, it is necessary to provide qualitative lecture contents regardless of whether or not an instructor appears in the lecture contents. Second, it is necessary to present clear learning goals and topics through implicit key words. Third, the importance of the length of lecture contents in consideration of learner’s learning efficiency and concentration comes up. Fourth, it is necessary to use subtitles to supplement the teaching contents visually. Fifth, it is necessary to use various media materials to increase learner’s learning efficiency. Sixth, active interaction is required to close the distance between the tutor and the learner. Seventh, it is necessary to provide supplementary materials to improve learner’s learning outcomes. Eighth, the importance of continuous content uploading and management for channels comes up. In the face of a lack of research on the contents of YouTube-based MIDI composition/arrangement lectures, this study can serve as a cornerstone for the development of YouTube-based MIDI composition /arrangement lecture contents.
Probabilistic Modeling for Nonlinear and Non-Gaussian Systems Using Kernel Density Estimation and Gaussian Process

Recently, in order to model systems with uncertainty, probabilistic modeling with conditional probability distribution are widely noticed. Modeling the systems as probability density function enables us to apply strategies considering unsertainty to control systems. One of the most famous modeling methods is Gaussian process regression (GPR). GPR is often used in the field of control systems and its effectiveness is demonstrated in many papers. However, since GPR can represent only Gaussian distribution, GPR cannot always achieve good performances for systems under nonGaussian noise. This paper focuses on kernel density estimation that can approximate arbitrary probability distributions and proposes a probabilistic modeling method for non-Gaussian systems including ones with dynamic characteristics. At that time, a proposed method assumes that measurement is written as a sum of noise and function. Moreover, a prior distribution of the function assumes to be Gaussian. Under the assumption, the proposed method estimates the function as hidden variables by variational Bayes methods. The proposed method can model arbitrary probability density function for single output systems from data. Numerical simulations demonstrate the effectiveness of the proposed method.
An improved online multiple object tracking algorithm based on KFHT motion compensation model in the aerial videos

Due to the rotation of unmanned aerial vehicle, the position of object in the image could shift a lot which easily leads to tracking failure. To solve this problem, a motion compensation model based on Kalman Filter and Homography Transformation (KFHT) is designed in this paper to predict the position of trackers and to compensate position offset. And then an improved online multiple object tracking algorithm based on KFHT is proposed. In our algorithm, object appearance feature is extracted by residual CNN, the feature similarity and location association of objects are utilized to accomplish the object discrimination by two stage matching. To verify the effectives of the improved algorithm, experimental evaluation is carried out on the VisDrone2019 dataset by using YOLOv5 detection results and prior ground truth respectively. Results demonstrate that the algorithm given in this paper reduces the number of identity switches by 17% with YOLOv5 and by 66% with prior ground truth, and increases the tracking accuracy about 1.5% and 3.6% in MOTA respectively. The experimental results show that our algorithm based on the KFHT model is effective.
CONCEPTUAL MODEL FOR THE DEVELOPMENT OF TEACHERS’ DIGITAL COMPETENCE

J. Dzerviniks , S. Usca , V. Lubkina , J. Poplavskis, A. VindeceRezekne Academy of Technologies (LATVIA)
An extraction attack on image recognition model using VAE-kdtree model

This paper proposes a black box extraction attack model on pre-trained image classifiers to rebuild a functionally equivalent model with high similarity. Common model extraction attacks use a large number of training samples to feed the target classifier which is time-consuming with redundancy. The attack results have a high dependency on the selected training samples and the target model. The extracted model may only get part of crucial features because of inappropriate sample selection. To eliminate these uncertainties, we proposed the VAE-kdtree attack model which eliminates the high dependency between selected training samples and the target model. It can not only save redundant computation, but also extract critical boundaries more accurately in image classification. This VAE-kdtree model has shown to achieve around 90% similarity on MNIST and around 80% similarity on MNIST-Fashion with a target Convolutional Network Model and a target Support Vector Machine Model. The performance of this VAE-kdtree model could be further improved by adopting higher dimension space of the kdtree.
ACADEMIC EDUCATION AT LIBRARY AND INFORMATION MANAGEMENT WITH REFLECTION TO THE GLAM-SECTOR COLLABORATION

The report examines the curriculum of the Bachelor's program “Library and Information Management” at University of Library Studies and Information Technologies (ULSIT) with the main goal to highlight good practice for building knowledge, competencies and professional attitudes in future professionals to the potential of cooperation between institutions in the GLAM-sector (Galleries, Libraries, Archives, Museums). The research objectives of this report are part of the ongoing monitoring carried out by higher education institutions according to the requirements of the quality management system in education, according to the standards of the European Higher Education Area and EU initiative on "New Skills for New Jobs". Important points are the compliance with the requirements of the labor market, the observance of the theory-practice relationship in training and the bilateral assessment of satisfaction - by students and employers. Methodology:The research methodology includes a documentary analysis (internal and online desk research) of the study documentation and the working correspondence from the archives of the Department of Library Management and Archival Studies. The analysis is in support of what is stated in the qualification characteristic of the specialty: those who have acquired a bachelor's degree at “Library and Information Management" have a broad qualification framework of knowledge and skills and are competent to perform management and organizational activities in all types libraries and in their various structural units; in information centers; in information services of ministries, committees and foundations; in community centers, museums, archives, galleries and other cultural institutions; in documentary departments of state, public, business and other institutions and organizations; in editorial and other departments of print and electronic media; in the publishing sector and the book trade. Results:The direct relationship and the causal link for upgrading knowledge between compulsory and elective disciplines such as: "Project Management", "Public Communication", "Digitalization and Copyright", "Libraries and Sustainable Development", "Innovations for the Protection of Library Funds", " Regional Cultural Policies", "Interactions: Library - Public Organizations" and "Libraries and Cultural Tourism", are traced and evaluated. The academic disciplines are synthesized by following these components of the curriculum, which upgrade knowledge and nurture an active attitude in future professionals to various forms and opportunities for partnership between institutions in the GLAM sector. Recommendations are given for optimizing the causal relationship between the individual components in the curricula of specialties in Library and Information Sciences and for enriching the methodology of teaching and assessment, which can be offered to the attention of an international audience.
A Study of the Design of an Art-Culture Education Curriculum Using Gamification - Focused on a Game Prototype, [Exploring Dokdo by Doctor Children]

This study is about the planning and design of a new art-culture curriculum with the characteristics of Gyeongbuk that raises awareness and interest in “Dokdo,” the representative cultural resource of Gyeongsangbuk-do, and that links Dokdo and art-culture education. The educational goals were set to improve the intimacy of Dokdo for elementary school students in the fifth and sixth grades in Gyeongbuk, to cultivate production creativity, and to deepen their digital literacy. As a solution to the problem defined here, we propose an “art-culture curriculum based on gamification linked to a digital board game.” This curriculum is divided into two sections. Section 1 is an art-culture education section in which students learn game principles and production methods and create game elements. Section 2 is a game in which students play the game they constructed in Section 1 and enjoy reviewing the contents learned in Section 1. As a corresponding research methodology, we applied the nonlinear iteration method of design thinking to our study. Through two nonlinear iterations, we designed a curriculum with minimal functions and a game prototype, <Exploring Dokdo by Doctor Children>. Based on detailed user studies and interviews, actual users in Gyeongbuk were discovered and developed by reviewing the actual situation and requirements of the expected target users. In addition, the draft curriculum was improved based on opinions obtained through four expert consultations. Subsequently, the game platform, a Lo-Fi prototype that reflected these advancements, was simulated and evaluated to design the final curriculum, thereby preparing a Gyeongbuk-style art-culture curriculum with technology fused into it. Our research has several advantages; it is in-depth user research, provides a unique curriculum that links game production and game play, includes a systematic reward system, and uses appropriate game difficulty levels. However there are is a need to improve the degree of 'gameability', such as by deepening the storytelling in the game, strengthening the strategic elements of the gameplay, and strengthening the connection between Dokdo information and the game elements.
فاعلية نموذج بايبي فى علاج الضعف القرائي لدى تلاميذ الصف السادس

هدفت الدراسة الحالية إلى الکشف عن فاعلية نموذج بايبي في علاج الضعف القرائي لدى تلاميذ الصف السادس الابتدائي. وتحقيقا لأهداف الدراسة استخدم الباحث المنهج شبه التجريبي، وتکونت عينة الدراسة من (51) تلميذا من تلاميذ الصف السادس الابتدائي، تم تقسيمهم إلى مجموعتين إحداهما تجريبية تکونت من (25) تلميذا وقد درست الوحدة المختارة (الوعي الصحي) وفقا لنموذج بايبي، والأخرى ضابطة مکونة من (26) تلميذا وقد درست بالطريقة المعتادة، وتمثلت أدوات الدراسة في اختبار تحصيلي. وبعد التطبيق تم التوصل إلى عدة نتائج أهمها فاعلية نموذج بايبي بشکل عام في علاج الضعف القرائي لدى تلاميذ الصف السادس الابتدائي؛ وذاک نظرا لوجود فروق ذات دلاله إحصائية بين متوسطي درجات التلاميذ في المجموعتين التجريبية والضابطة في القياس البعدي لاختبار مهارات القراءة ولصالح المجموعة التجريبية. وکذا وجود تأثير کبير لاستخدام نموذج بايبي في علاج الضعف القرائي لدى تلاميذ المجموعة التجريبية. وفي ضوء هذه النتائج قدم الباحث مجموعة من التوصيات والمقترحات.ABSTRACTThis Study aimed at detecting the effectiveness of the Bybee Model in treatment of reading impairment for sixth grade pupils. In order to achieve the objectives of Study, the researcher used the Semi-Experimental Method. The sample consisted of (51) sixth graders who were divided into two groups, one of which consisted of (25) pupils. The selected unit (health awareness) was teached according to the Bybee Model, and the other group consisted of (26) pupils who have been teached in the ordinary method, The Study tools were the achievement test.The Study has concluded several results, the most important of which was the effectiveness of the Bybee Model in the treatment of reading impairment for the sixth grade pupils. The Study revealed that there were statistically significant differences between the average scores of pupils in the experimental and controlling groups in the post-test of reading skills and for the experimental group.Use of the Bybee Model has also a significant impact on treating reading impairment among pupils of the experimental group.In ligt of the previous findings,the researcher developed a number of Recommendations and suggestions.
Comparative Performance Analysis of Music Audio Denoising Using Wavelet Technique

Mostly communication channels are experiencing noises and it is very difficult to recover from the original signals without any noise. Denoising can be performed with various filtering techniques that can be separate the noise signal from the original signal. Filtering techniques have been proposed for noise removal from the digital musical signals. The overall performance of the filtering technique is less effective. Denoising of an audio signal is an area under development. In this article, music signals are considered input signals. Denoising techniques are compared based on different filter design techniques. A technique of filtering of noise is implemented and compared using Signal-to-Noise Ratio (SNR). Here for comparison, the Butterworth filter and different types of wavelet filters are used for denoising the musical signals. Daubechies wavelet techniques work better than existing methods is proven by SNR.