Reviewerly/exHarmony huggingface dataset:
Vertical distribution of heavy metals in core sediments from Kelantan River off Tanah Merah, Kelantan, Malaysia

Abstract Core sediments from two sampling points namely TM 2 and TM3 which are located at the Kelantan Rive near to Tanah Merah district had been collected to determine the vertical profile of heavy metals contents. TM 2 and TM3 were located near to gold mining area and agriculture area, respectively. The heavy metals in Tanah Merah were analysed using Atomic Absorption Spectrophotometer (AAS) PinA Acle 900F model. The degree of pollution has been investigated using Geo-accumulation (Igeo) index. For the result, the average value of heavy metals in Tanah Merah are Cu (12.67 ± 5.38 mg/kg), Pb (44.57 ± 8.75 mg/kg), Cr (56.69. ± 10.38 mg/kg), Zn (157.89 ± 88.56 mg/kg), Fe (4.08 ± 0.82 %) and Al (7.84 ± 1.53 %). The vertical profile of Cu and Zn at the bottom layer showed the decreasing trend toward the bottom of sediment suggesting the additional anthropogenic input of both metals to the sediment. In addition, most of the concentration value of Zn at TM2 near to gold mining set were exceed the permissible limit set by WHO. Furthermore, the result from the Igeo index also supported sediments at TM 2 which is located near to mining area are extremely contaminated with Cu and Zn. As conclusion, the authorities should closely monitor the level of pollution at the Kelantan River especially near to mining area.
Harmful Speech and the COVID-19 Penumbra

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3D Facial Similarity Measure Based on Deformation Field

3D facial similarity measure is a critical research direction in fields such as 3D face recognition, craniofacial reconstruction, and heritability estimation, etc. and represents a challenging and meaningful task. In this paper, we propose a novel method based on deformation field to establish the similarity relationship between 3D faces. The main idea is divided into two steps as follows: (1) The landmarks are semi-automatically marked on all faces to build correspondences between landmarks (2) According to the distance field and the dense corresponding relationship of faces, a deformation field is generated between 3D faces that deform the source model to the target model. The path of deformation is computed to measure the similarity between two 3D faces. Comprehensive experiments conducted on the BU3DFE database illustrate that the similarity measure method is consistent with the subjective evaluation and provides high discriminability for different individuals.
Optimization of PointPillars (A Deep Learning Network for LiDAR-based 3D Object Detection) on Intel Platform

This paper introduces how to optimize the PointPillars, a network for the deep-learning-based object detection in 3D point clouds, on the 11th-Generation Intel® Core <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">TM</sup> Processors (Tiger Lake) by using the Intel® Distribution of OpenVINO <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">TM</sup> Toolkit. The throughput requirement for the use cases of transportation infrastructure (e.g., 3D point clouds generated by the roadside Lidars) is 10 frames per second. In comparison with the existing solutions that we are aware of, our solution can achieve the throughput of 11.1 FPS and the latency of 154.7 ms on Intel® Core <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">TM</sup> processors with much lower cost and much lower power consumption.
Problems of informatization of higher school in the perception of subjects of the educational process

The relevance of the topic is due to the widespread use of information technology in higher educational institutions. This trend has conflicting and ambiguous consequences. On the one hand, the use of information technology increases the accessibility of education, makes the educational process flexible, and expands the possibilities of using visual materials. On the other hand, problems arise in the development of teaching methods that are necessary to stimulate the learning activity of students. To study the attitude of teachers and students to the problems of using information technology in higher education, the scientific publications of foreign and Russian scientists were analyzed. The purpose of the research is to study the peculiarities of perceiving the problems of informatization of the educational process by teachers and students of higher educational institutions. The empirical basis of the study was the materials of a sociological survey conducted among students of Togliatti State University in 2014 (N=359) and in 2019 (N=353). Comparative analysis of the results shows that within five years the number of students who are interested in using information resources in the educational process has significantly increased. A similar trend can be traced in the interest in using educational programs and simulators. From 2014 to 2019, the number of students who would like to receive supplementary training in information technology has doubled. The growing interest of students in the use of information technology necessitates the development of modern teaching methods, changes in the forms of interaction between students and teachers in the educational process. The solution to these problems at the present stage is associated with the search for the optimal combination of information and interactive technologies in the educational process.
Designing of Infographic via android operating system application for royal graduation ceremony of Ramkhamhaeng University

The purpose of this research and development project are; to design and assess quality infographics via an Android Operating System (OS) application for the royal graduation ceremony of Ramkhamhaeng University. The research results found that; (1) The infographics for the royal graduation ceremony of Ramkhamhaeng University were offered on the application RUGrad Version 1.0 on Android OS and included these following items on its menu (1.1) Procedures for the graduation ceremony, (1.2) Graduation registration, (1.3) Attendance report, (1.4) Rehearsals, (1.5) Royal graduation ceremony day, (1.6) Graduates’ attires, (1.7) Practices for monks, (1.8) Prohibitions for graduates, (1.9) Diagram for the graduation ceremony process, and (1.10) How to use the application. (2) The quality of infographics shown via the Android OS application was found to be suitable in all areas with the overall value of 0.90. (3) Graduates of Ramkhamhaeng University participating the 2019 royal graduation ceremony were found with an overall high level of understanding of the ceremony information presented with infographics via the Android OS application (X̄ = 4.49). They were also found with an overall high level of satisfaction towards the infographics for the royal graduation ceremony presented via the Android OS application (X̄ = 4.44).
Neural Machine Translating from XML to RDF

research-article Share on Neural Machine Translating from XML to RDF Authors: Jiehu Song Peking University, China Peking University, ChinaView Profile , Zuoquan Lin Peking University, China Peking University, ChinaView Profile Authors Info & Claims ICMAI 2021: 2021 6th International Conference on Mathematics and Artificial IntelligenceMarch 2021 Pages 130–136https://doi.org/10.1145/3460569.3460589Online:31 August 2021Publication History 0citation33DownloadsMetricsTotal Citations0Total Downloads33Last 12 Months33Last 6 weeks3 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Shrinkage estimation of fixed and random effects in linear quantile mixed models

This paper presents a Bayesian analysis of linear mixed models for quantile regression using a modified Cholesky decomposition for the covariance matrix of random effects and an asymmetric Laplace distribution for the error distribution. We consider several novel Bayesian shrinkage approaches for both fixed and random effects in a linear mixed quantile model using extended L1 penalties. To improve mixing of the Markov chains, a simple and efficient partially collapsed Gibbs sampling algorithm is developed for posterior inference. We also extend the framework to a Bayesian mixed expectile model and develop a Metropolis-Hastings acceptance-rejection (MHAR) algorithm using proposal densities based on iteratively weighted least squares estimation. The proposed approach is then illustrated via both simulated and real data examples. Results indicate that the proposed approach performs very well in comparison to the other approaches.
A Zigzag Maneuver Target Tracking Algorithm with Colored Glint Measurement Noise

In this paper, a tracking algorithm is proposed for zigzag maneuver target with non-Gaussian colored glint measurement noise. By Utilizing the measurement differencing approach and the state augmentation method, the above problem is transformed into the estimating problem for a non-linear system with white heavy-tailed measurement noise. And the augmentation state vector together with the intermediate variables are simultaneously inferred by introducing variational Bayesian (VB) approach. Simulation experiment indicates that the proposed algorithm in this paper has superior accuracy than current algorithms to process non-Gaussian colored glint measurement noise for the problem of zigzag maneuver target tracking.
Remote current and voltage monitoring system based on cloud storage and wireless communication technology

This paper introduces the remote current and voltage monitoring system based on cloud storage and 5G wireless communication technology, including acquisition module, data processing module, Ethernet module and terminal; Acquisition module acquisition device of three phase current and three-phase voltage being measured, by matching the operational amplifier to convert signals AD input circuit, then the measured data of voltage and current fast Fourier transform, then the main frequency component amplitude and phase of signal transmission to the Ethernet module, realize the transmission of high compression test data. The data of voltage and current can be read and recorded by accessing Ethernet module through terminal and Internet of Things platform. Thus, a remote automatic monitoring system for voltage and current of electromechanical equipment and their operating conditions is proposed.
Junior Pupils’ Project Skills: Essence and Assessment

The paper aims to identify the actual level of junior pupils’ project skills. The author theoretically justifies requirements for problem-setting, goal-setting, planning skills, describes the procedure to assess junior pupils’ project skills, provides a comparative analysis of 2018-2020 data provided by the Center of Education Quality Assessment of Krasnoyarsk Region. The data analysis indicates a substantial gap in the level of individual and collective competence, reveals project skills deficiency among 2nd-4th-grade pupils. The researcher develops and introduces into educational process assessment tools to evaluate junior pupils’ project skills, proposes an innovative approach to organizing their project activity, which constitutes scientific originality of the study. The research findings are as follows: the author identifies a substantial gap in the level of individual and collective competence in problem-setting, goal-setting, planning.
A necessary condition for CPA-security of randomized symmetric code cryptosystems

We investigate a class of symmetric code cryptosystems constructed similarly to the well-known randomized (asymmetric) McEliece cryptosystem. A necessary condition for CPA- security of such cryptosystems is obtained (that is, their security against arbitrary distinguishing chosen-plaintext attacks). To each randomized code cryptosystem of specified type correspond its shortening, which is its reduced version. It is proved that the CPA-security of the input cryptosystem imply the CPA-security of its shortening. To a certain extent, this makes it possible to reduce the question about the CPA-security of randomized code cryptosystems to similar question about cryptosystems that have simpler structure. The obtained result can be used in further research in the construction of provable secure symmetric code cryptosystems.
A Simple Optical Fiber-coupled Chromatic Confocal 3D Measurement System

Chromatic confocal measurement method can achieve accurate, efficient, and non-destructive three-dimensional measurement of almost any surface materials. At present, domestic research work in this area is mostly concentrated on theory and verification experiments, and there is a lack of relevant research on the design of an efficient integrated measurement system. This paper reports a simple optical fiber-coupled chromatic confocal three-dimensional measurement system, which uses a white-light confocal detection optical path and a wide-field optical path scheme. The system uses an aspheric lens to produce 1 mm axial chromatic aberration and realizes the combination of software and hardware. Through the measurement of step surface, MEMS, and glass thickness, it is shown that the built system is suitable for micron-level three-dimensional topography measurement of surfaces and thicknesses of transparent materials.
A Workload-Aware Change Data Capture Framework for Data Warehousing

Today's data warehousing requires continuous or on-demand data integration through a Change-Data-Capture (CDC) process to extract data deltas from Online Transaction Processing Systems. This paper proposes a workload-aware CDC framework for on-demand data warehousing. This framework adopts three CDC strategies, namely trigger-based, timestamp-based and log-based, which allows capturing data deltas by taking into account the workloads of source systems. This paper evaluates the framework comprehensively, and the results demonstrate its effectiveness in terms of quality of service, including throughput, latency and staleness.
Bug Triage Model Considering Cooperative and Sequential Relationship

Faced with a large number of bugs in the process of software development and maintenance, the existing bug triage method assigns appropriate fixers to the bug by analyzing the text content of the bug report or relationship network. However, the bug repair is a cooperative process with sequential relationship. The tracking system records bugs successively according to the time, which indicates the dynamic changes of the tracking system. In addition to fixers, reviewers, products and components also play an important role in bug triage. Previous studies have often overlooked the sequential and cooperative relationship in the repair process, and the result of bug triage is not ideal. In this paper, we propose a bug triage model considering cooperative and sequential relationship (BTCSR). Firstly, the similar historical reports are determined by analyzing the text content of the bug report. Secondly, considering the cooperative relationship in the bug tracking system, we construct a heterogeneous bug collaborative network that includes bug reports, fixers, products, components, and reviewers. The time decay function is set up in the network to preserve the sequential connection of nodes. We map different types of nodes to the same space, and generate node representations that retain the cooperative and sequential relationship. Finally, the similarity degree between fixers and bugs are quantified by node representations, and the recommended fixer list is obtained. We conduct extensive comparative experiments on four open source software projects, and the results show that BTCSR has obvious advantages in recall rates, so BTCSR is effective.
Possibility of Application of the User Interface of a Conventional Smartphone for Communication of Graphical Information with a Special HW/SW Device

Abstract This article is focused on enhancement of HW/SW device by cooperation with a smartphone interface. The device was a programmable Lego Mindstorms Education EV3 set in the form of a robot designed to solve the Rubik’s Cube. The aim of the research was to replace the built-in color sensor with a camera that would allow the cube scanning process to be accelerated. Two approaches were chosen to meet the goal: the NXTcam camera, accessible as an accessory to expand the set, and the camera built into the smartphone. The use of NXTcam led to better scan time, but this result was prone to external influences. The camera on the smartphone sped up the scanning process to 57% of the original time. The impact of external factors on the outcome was significantly lower, compared to NXTcam. In the experiment, the cube solving process was observed in natural light, with addition distractive light source and in artificial light.
Machine learning using Stata/Python

We present two related Stata modules, r_ml_stata and c_ml_stata, for fitting popular machine learning (ML) methods in both regression and classification settings. Using the recent Stata/Python integration platform (sfi) of Stata 16, these commands provide hyperparameters' optimal tuning via K-fold cross-validation using greed search. More specifically, they make use of the Python Scikit-learn API to carry out both cross-validation and outcome/label prediction.
How to Test Interoperability of Different Implementations of a Complex Military Standard

To access and use the functionality of a software system, different interfaces must be provided. When establishing a system-to-system communication, a clear definition and specification of the interfaces must exist. In the NATO (North Atlantic Treaty Organization) environment different Standardization Agreements (STANAGs) are defined. When exchanging reconnaissance and surveillance data between NATO partners, the STANAG 4559 is used. To ensure interoperability, it is necessary to be able to test the corresponding implementations regarding the adherence of the guidelines defined in the standard.Within this chapter, an idea of a test center is presented which can be used as an independent instance to test and validate a system’s conformance to the STANAG 4559 standard.
Audit Robot System Based on Automation Technology

In order to overcome the various problems existing in the audit work, such as high artificial error rate, slack attitude of auditors, perfunctory attitude of staff, this paper proposes an audit robot system based on automation technology. The system combines a variety of advanced science and technology, such as computer technology, robot technology, expert system, automation technology and so on, and gives full play to the interaction and intelligence of advanced technology. Based on this, the system can give full play to the role of RP A in audit, mobilize a variety of advanced systems, realize the internal linkage and coordination of the audit department, and then comprehensively improve the efficiency of audit work. The experimental results show that the system gives full play to the scientificity and intelligence of automation technology, and is expected to replace the traditional and complex manual audit work and improve the accuracy and intelligence of audit work.
A Dynamic Scaling Methodology for Improving Performance of Data-Intensive Systems

The continuous growth of data volume in various fields such as healthcare, sciences, economics, and business has caused an overwhelming flow of data in the last decade. The overwhelming flow of data has raised challenges in processing, analyzing, and storing data, which lead many systems to face an issue in performance. Poor performance of systems, such as slow processing speed, creates negative impact such as delays, unprocessed data, and increasing response time. This paper presents a novel dynamic scaling methodology to improve the performance of data-intensive systems. The dynamic scaling methodology is developed to scale up the system based on the several aspects from the data-intensive perspective. Moreover, these aspects are used by the helper project algorithm which is designed to divide a task into small pieces to be processed by the system. These small pieces run on several virtual machines to work in parallel to enhance the system’s runtime performance. In addition, the dynamic scaling methodology does not require many modifications on the applied, which makes it easy to use.
Rethinking Adversarial Training for Language Adaptation

Recent advances in pre-trained language models revolutionized the field of natural language processing. However, these approaches require large-scale annotated resources, that are only available for some languages. Collecting data in every language is unrealistic, hence the growing interest in cross-lingual methods that can leverage the knowledge acquired in one language to different target languages. To address these challenges, Adversarial Training has been successfully employed in a variety of tasks and languages. Empirical analysis for the task of natural language inference suggests that, with the advent of neural language models, more challenging auxiliary tasks should be formulated to further improve the transfer of knowledge via Adversarial Training. We propose alternative formulations for the adversarial component, which we believe to be promising in different cross-lingual scenarios.
Contribution Assessment Approach for Command and Control System Based on Force-Sparsed Stacked-Auto Encoding Neural Networks

Abstract Aiming at the difficulty of feature extraction and related generation mechanism analysis for Command and Control (C2) System using traditional data mining method, a novel contribution assessment approach based on Force-Sparsed Stacked-Auto Encoding Neural Networks (FS-SAE) is proposed. Combined with big data and complex networks technology, the contribution assessment model to operational system of system (SoS) is built. The emergence relations between the capacity indices of C2 system are formalized. The derivation results show that formalized presentation for the emergence process of performance indices of C2 system based on the proposed model not only reflects the complexity characteristics of non-linear and uncertainty in emergence process, but also gives general-defined meaning for indices structure of C2 system. It provides a feasible method for the commanders to deeply understand, manage and control the complex operation system.
A Study of Third-Party Software Compliance and the Associated Cybersecurity Risks

Companies have to assess the security risk when purchasing third-party software (TPS). There have always been needs for TPS use within companies; however, issues like server space and maintenance up-keep have hindered companies from purchasing TPS. The evolution of the cloud has made it easier for companies to make the necessary TPS purchases that they need. Companies use the TPS to modernize certain processes and make others more efficient; however, there is a cost. Purchases of TPS that reside in the cloud brought new security risks and compliance issues for companies. This research paper analyzed the associated cybersecurity risks of purchasing TPS and the importance of TPS compliance with companies’ policies.