Reviewerly/exHarmony huggingface dataset:
Pengembangan Media Convertible Book Berbasis Scientific Approach Untuk Meningkatkan Pemahaman Konsep dan Karakter Peduli Lingkungan

The aims of the research are (1) to develop a convertible book bases on scientific approach to improve the concept understanding and care-for-environmental character, (2) to reveal the effectiveness of the developed convertible book to improve the concept understanding and care-for-environmental character of grade IV students of elementary schools in Moga sub-district. The research uses Research and Development (R & D) model with reference to product development by Borg & Gall. The subject of research are students of elementary schools in Moga sub-district. The validity of the developed convertible book was analyzed by converting to five quantitative criteria. The effectiveness of the convertible book in improving the concept understanding and care-for environmental character was analyzed by N-gain score, t-test and MONOVA at the significance level of 0.05. The result of the research showed that the convertible book fulfilled the feasibility criteria according to the validation by material expert and media expert, teachers’ responses and students’ responses which was in a good of very feasible category. The convertible book was effective to improve the students’ concept understanding and care-for-environmental character. The result of the t-test at sig. 0.05 showed the effect of the use of the media and test MANOVA, that there was significant effect between experiment and control class at 0.00.
A Health-friendly Speaker Verification System Supporting Mask Wearing

We demonstrate a health-friendly speaker verification system for voice-based identity verification on mobile devices. The system is built upon a speech processing module, a ResNet-based local acoustic feature extractor and a multi-head attention-based embedding layer, and is optimized under an additive margin softmax loss for discriminative speaker verification. It is shown that the system achieves superior performance no matter whether there is mask wearing or not. This characteristic is important for speaker verification services operating in regions affected by the raging coronavirus pneumonia. With this demonstration, the audience will have an in-depth experience of how the accuracy of bio-metric verification and the personal health are simultaneously ensured. We wish that this demonstration would boost the development of next-generation bio-metric verification technologies.
Data Mining and Principal Component Analysis on Coimbra Breast Cancer Dataset

Machine Learning (ML) techniques play an important role in the medical field. Early diagnosis is required to improve the treatment of carcinoma. During this analysis Breast Cancer Coimbra dataset (BCCD) with ten predictors are analyzed to classify carcinoma. In this paper method for feature selection and Machine learning algorithms are applied to the dataset from the UCI repository. WEKA (“Waikato Environment for Knowledge Analysis”) tool is used for machine learning techniques. In this paper Principal Component Analysis (PCA) is used for feature extraction. Different Machine Learning classification algorithms are applied through WEKA such as Glmnet, Gbm, ada Boosting, Adabag Boosting, C50, Cforest, DcSVM, fnn, Ksvm, Node Harvest compares the accuracy and also compare values such as Kappa statistic, Mean Absolute Error (MAE), Root Mean Square Error (RMSE). Here the 10-fold cross validation method is used for training, testing and validation purposes.
New Application of Life Rank Algorithm: A Case Study

The past few years have seen the emergence of learning-to-rank (LTR) in the field of machine learning. In information acquiring the size of data is very large and empowering a learning-to-rank model on it will be a costly and time taking process. High dimension data leads to irrelevant and redundant data which results in overfitting. “Dimensionality reduction” methods are used to manage this issue. There are two-dimensionality reduction techniques namely feature selection and feature reduction. There is extensive research available on the algorithm for learning-to-rank but this not the case for dimensionality reduction approaches in LTR, despite its importance. Feature selection techniques for classification are directly used for ranking. To the best of our understanding, feature extraction techniques in the context of ranking problems are not explored much to date. So, we make an effort to fill this void and explore feature extraction in the context of LTR problems. The LifeRank algorithm is a linear feature extraction algorithm for ranking. Its performance is analyzed on RankSVM and Linear regression. It is not applied to other learning-to-rank algorithms. So, in this task, an attempt is made to study the effect of the application of the LifeRank algorithm on other LTR algorithms. LifeRank algorithm is applied on RankNet and RankBoost. Then, the performance of several LTR algorithms on the LETOR dataset is analyzed before and after feature extraction.
Vacancy Improver: A Demo towards skill-based debiased Vacancies

Many vacancy texts do not reach their full potential; vacancies are too generic, too specific, or biased. In this demo paper, we propose a research prototype that helps users to create a better vacancy text using AI techniques in the domain of Labor Market. The proposed vacancy text from the user is analysed using an function classifier, skill extractor, bias detector and skill overlap algorithm. The Competent database consisting of functions, descriptions and skills as well as an annotated set of Dutch vacancy texts are fed to the AI techniques. In a small user evaluation, we show that the prototype has potential to help users in their need to create better vacancy texts. In future work, we aim to test the tool with more participants and improve the different functionalities.
Convergence Behavior of Belief Propagation: Estimating Regions of Attraction via Lyapunov Functions

In this work, we estimate the regions of attraction for belief propagation. This extends existing stability analysis and provides initial message values for which belief propagation is guaranteed to converge. Our approach utilizes the theory of Lyapunov functions that, however, does not readily yield useful regions of attraction. Therefore, we utilize polynomial sum-of-squares relaxations and provide an algorithm that computes valid Lyapunov functions. This admits a novel way of studying the solution space of belief propagation. Finally, we apply our approach to small-scale models and discuss the effect of the potentials on the regions of attraction.
Usage of Digital Technology in Higher Education: Teacher and Student Digital Competency

Background digital technology plays an important role in higher education institutions. Aim the objective of this study is to identify the status of students and teacher digital competence in higher education. Methodology structural equation modeling was used, data have been collected from the students (n=168), teachers (n=64) using a survey questionnaire and an in-depth interview with students, instructors. Data was analyzed using SPSS v26. Findings based the findings more than 88.09 percent of the students use digital tools for non-academic purposes (for entertainment), like playing games, online chatting with their friends, watching videos, telegram, face book for personal or social use. However digital technology plays a great role on student academic achievement especially for students who score in GPA are greater than 3.5. Higher education students have access to digital technologies like the internet, desktop computers, laptops and smart phone. The digital competency of teachers and students are very low. Contribution the study contrives on theory and practical knowledge add. Recommendation Higher education institutions should have strategic digital policy or legal framework and initiatives fostering on how to use digital technologies in higher education.
Enhanced Priority Based Load Balance Scheduling of Parallel Work Load in Cloud Computing

Cloud computing is an emerging computing technology that uses the remote servers to maintain data and application. A parallel job is run as multiple processes. A Significant level activity is submitted to the activity scheduler and after accommodation is partitioned into subordinate employments that run simultaneously. In existing framework the two level need based equal occupations increasingly number of employments won't to be handled and a few occupations are holding up in the line. So Execution time of the activity esteem is expanded and Wastage of memory. The long execution time of the activity will be holding up in the line. We propose another idea for need based burden adjusting of equal employments. The figuring limit of every hub into levels. The two levels will process from line. The primary virtual machine is frontal area and second one is back ground. The equivalent need will be allotted for the employments in closer view virtual machine and foundation virtual machine the idea of burden adjusting. The equal employments used to utilize the two level virtual machine and improve the responsiveness of the occupations.
A 3D Multi-Object Tracking Based on Bounding Box and Depth

Abstract In this paper, a real-time 3D multi-object tracking by using bounding box and depth information has been proposed. Multiple object tracking (MOT) is a key component in the robot industry and autonomous driving. In recent years, many kinds of research focus on how to use a learning-based method to extract feature images and use the features to track the objects. However, the common detected-objects in industrial applications are pretty much the same in appearance and color. In other words, objects having a similar feature have the tendency in making the learning-based modal malfunction. To resolve this problem, the work presented in this paper proposes a new approach using a 2D bounding box of pixel and 1D depth information as input. First, the bounding box from the detector and depth information from the depth sensor can be obtained. Secondly, a combination of the Kalman filter and the Hungarian algorithm is used for state estimation and data association. Lastly, the results are evaluated and compared with others by using KITTI benchmarks. Furthermore, it is found through experiments that in pragmatic tracking of objects, the proposed method and system runs at a rate of 1153.4 FPS, offering a very fast speed among all MOT methods with its MOT accuracy (MOTA) almost the same as others 3D MOT algorithms.
Software and control shell for service robots with parallel computing

KIAM Russian Academy of Sciences, International Laboratory «Sensorika» conduct research and development of service robots for tasks of telemedicine. The developed mobile robot AMUR-307 is planned to be used in clinics to move various objects between the premises of the building, separated by thresholds, stairs and doors. The robot is controlled remotely via a radio channel from the operator's post. It is also intended to minimize operator interference and apply the developed algorithms for autonomous operation using an on-board computing device. To control robots of this type, a software and hardware microprocessor system was designed and manufactured and its comprehensive testing was performed. The solution allows you quickly make changes to the customer's requirements and deliver robots, integrating them into the existing infrastructure. The article presents the results of research and comparison of various ways to implement the robot, optimize its structure, replication technology and parallel programming using the GPU.
영미문학교육 전공수업에서 The Dubliners 활용 연구

This paper discusses a way of using James Joyce’s The Dubliners in literature classes of the English Education Department. It is a practical discussion of using the text rather than a theoretical approach that delves into its literary or philosophical values. The literature classes of English education should satisfy the needs of students regarding the national teacher qualification exam as well as achieve their fundamental purpose of enhancing students’ literary knowledge. For these somewhat contrasting purposes, The Dubliners offers a great means that helps students improve both their practical English ability and their literary appreciation capacity. Words and sentence structures are challengeable and not overwhelming in their difficulty; each episode is short enough for students to feel comfortable, and what is better all the episodes are similarly composed in their atmosphere and symbolism and thus coherent as if they are chapters of one long novel. They also offer motives by which students can think about themselves and society. Students may be asked to read one or two episodes, but it is advisable to read all episodes in one semester for the practice of language learning and literature appreciation. (Chungnam National University)
Research on Innovative Practice of Information Engineering Management Mode——Take the Engineering Management Information System of the Pearl Bay Development Authority of Guangzhou Nansha New Area as An Example

As a national-level new district, Nansha New Area has a superior geographical location and advanced position. The Pearl Bay starting area is the core area of Guangdong-Hong Kong-Macao cooperation and a comprehensive service center that is built by the Nansha New Area and set high-quality construction innovation standards. In order to adapt to the planning concept and construction requirements of Pearl Bay, Pearl Bay Development Authority has developed an engineering management information system suitable for the administration′s construction project management. Starting from the visualization, dynamic, and refined management of progress of works, investment, quality, safety, operation and maintenance, and the integrated collaborative management of the development and construction of the whole district, the traditional project management model has been changed through information technology. At the same time, the information technology has proposed some new ideas for project management. This article selects six typical new ideas in the project management information system to introduce, summarizing the advantages of this management system, and hopes to provide some reference for the construction of other new districts.
Application and Challenges of Blockchain with IoT

Blockchain is a reliable technology that is being used these days to accumulate data. As the name suggests, Blockchain can be divided into two parts, blocks and chains. Various data gets stored in the blocks while making a transaction that is further shared between the networks of computers. Blockchain made third-party transactions very simple as one can do business or make a payment or get payment from anyone else without knowing them and without the fear of losing the money. Blockchain is widely used in various sectors such as the banking sector, cryptocurrency, the healthcare industry, and many more. Secondly, Internet of Things (IoT) is a technology made from the combination of different types of machines and computers. In this paper, we put forward the merger of these techniques with each other and further discuss the applications of it and challenges applying these techniques.
SimAndro-plus: On computing similarity of android applications

In this paper, we propose SimAndro-Plus as an improved variant of the state-of-the-art method, SimAndro, to compute the similarity of Android applications (apps) regarding their functionalities. SimAndro-Plus has two major differences with SimAndro: 1) it exploits two beneficial features to similarity computation, which are totally disregarded by SimAndro; 2) to compute the similarity score of an app-pair based on strings and package name features, SimAndro-Plus considers not only those terms co-appearing in both apps but also considers those terms appearing in one app while missing in the other one. The results of our extensive experiments with three real-world datasets and a dataset constructed by human experts demonstrate that 1) each of the two aforementioned differences is really effective to achieve better accuracy and 2) SimAndro-Plus outperforms SimAndro in similarity computation by 14% in average.
Research on Prediction Method of Communication Network Operation Index

This paper mainly sorts out and compares the common prediction methods of current communication network, deeply analyzes and summarizes the application scope, advantages and disadvantages of various methods, selects the most suitable feasible method for the prediction content and requirements of China&#x0027;s communication network indicators, and summarizes the application scope, advantages and disadvantages of various methods, so as to optimize the model for the prediction of communication network operation indicators get ready.
Investigation of Steam Generation Performance on Conical Cavity Receiver by Different Geometric Concentration Ratios for Fresnel Lens Solar Concentrator

The paper discusses the comparison of the performance of steam generators in large and small receivers, using a Fresnel lens concentrator.The goal is to get the best value from the efficiency of a steam generator between large and small receivers, with the following task details:a) design a conical cavity receiver that has the most efficient geometric concentration ratio;b) compare the thermal efficiency of conical cavity receivers that have different geometric concentration ratios;c) analyze the potential of the steam energy from the conical cavity receiver produced by the PMMA Fresnel lens concentrator based on the amount of average radiation directly at the study site.The study uses an experimental field research method, which is conducted outdoors. This research was conducted in the energy conversion laboratory, Universitas Brawijaya (Latitude: 7.9553° S and Longitude: 112.6145° W), in September 2019. The PMMA Fresnel lens is used for the solar thermal concentrators. The two receivers with a conical cavity that were compared were made of copper with a volume of 2 litres and 0.25 litres, respectively. They are coated with a glass wool insulator with a thickness of 10 mm. Direct Normal Irradiance (Ib) is measured by a solar power meter. The cup anemometer is used to measure wind speed (vw) around the receiver. Digi-Sense 12 Channel Scanning Benchtop Thermometer connected to the laptop is used to measure temperature. The positions of the four K-type thermocouples are as follows:1) ambient temperature (Ta);2) focal point temperature (Tf);3) receiver wall temperature (Tr);4) steam/water temperature (Tw).A pressure gauge to measure the pressure of the steam that goes to the measuring cup was used. After saturation pressure (Psat) has been reached, it will be known from the condensation process through the copper coil, which functions as a condenser.From the results of the study, the large receivers have specifications CRg=8 and a volume of 2 litres of water. Whereas, the small receiver is CRg=30 and 0.25 L. The large receivers can produce steam latent heat energy Qs=1.37 MJ per cycle with useful efficiency (utilization efficiency) ηTh=31.81 %. Whereas the small receiver can produce steam energy, Qs=579.17 kJ per cycle with useful efficiency, ηTh=33.31 %. Hence, from the two types of conical cavity receivers, small receivers have that higher effectiveness than large ones can be recommended.
Outlier Detection with the Use of Isolation Forests

Appropriate preparation of data for analysis is a key element in empirical research. Considering the source of data or the nature of the phenomenon studied, some observations may differ significantly from others. Inclusion of such cases in a research may seriously distort the profile of the population under examination. Nevertheless, their omission can be equally disadvantageous. When analyzing dynamically changing phenomena, especially in case of big data, a relatively small amount of outliers may constitute a coherent and internally homogeneous group, which, along with the registration of subsequent observations, may grow into an independent cluster. Whether or not an outlier is removed from the dataset, researcher must be first aware of its existence. For this purpose, an appropriate method of anomaly detection should be used. Identification of such units allows the researcher to make an appropriate decision regarding the further steps in the analysis. Assessment of the usefulness of outlier value detection methods has been increasingly influenced by the possibility of their application for big data problems. The algorithms should be effective for large volume and diverse sets of data, which are additionally subject to constant changes. For these reasons, apart from high sensitivity, the following are also important: low computational time and the algorithm’s adaptability. The aim of the research presented is to assess the usefulness of Isolation Forests in outlier detection. Properties of the algorithm, with its extensions, will be analyzed. The results of simulation and empirical research on selected datasets will be presented. The algorithm evaluation will take into account the impact of particular features of big datasets on the effectiveness of the methods analyzed.
Writing Research Proposal for MS/MPHIL/PhD Program

As part of the application for admission onto our MS, MPhil and PhD programmes, you must prepare a research proposal outlining your proposed area of study.A research proposal is a concise and coherent summary of your proposed research. It sets out the central issues or questions that you intend to address. It outlines the general area of study within which your research falls, referring to the current state of knowledge and any recent debates on the topic. It also demonstrates the originality of your proposed research.The proposal is the most important document that you submit as part of the application process. It gives you an opportunity to demonstrate that you have the aptitude for graduate level research, for example, by demonstrating that you have the ability to communicate complex ideas clearly, concisely and critically. The proposal also helps us to match your research interest with an appropriate supervisor.What is your research proposal used for and why is it important?It is used to establish whether there is expertise to support your proposed area of researchIt forms part of the assessment of your applicationThe research proposal you submit as part of your application is just the starting point, as your ideas evolve your proposed research is likely to change
THE ROLE OF UNIVERSITIES IN PROMOTING DIGITAL ENTREPRENEURIAL INTENTION AMONG UNIVERSITY STUDENTS IN JORDAN

In today's world, technology has taken a place so drastically that everything is being digitalized. Universities play a critical role in promoting entrepreneurship, providing the right entrepreneurial education, and contributing to economic and social development. However, few studies have examined the role of business incubators in universities. Therefore, the study explores the status of entrepreneurship education and incubation services and the effect of entrepreneurial self-efficacy on supporting digital entrepreneurship intention among the students at public and private universities in Jordan. Eighty-one students’ responses were received from three universities through an online questionnaire. The result of multiple linear regression confirmed that there is a significant and positive relationship between digital entrepreneurship intention and each of the following factors: entrepreneurship education, business incubation, and entrepreneurial self-efficacy. The study findings contribute to the current literature of digital entrepreneurship, by representing the significance of universities supporting systems in stimulating the students to start their own online businesses.