Reviewerly/exHarmony huggingface dataset:
Application of UAV Technology in Practical Teaching of Marine Science

In recent years, with the continuous expansion of marine development, both the demand for and the contradiction between the use of the sea are very prominent, and the problem of marine infringement is constantly emerging, so it is urgent to have new technology that can carry out high-precision monitoring of the ocean all day long, so as to ensure the safety of the ocean and maintain the marine ecological balance. UAV is a new type of ocean monitoring technology, which is easy to operate, has strong adaptability to the environment, and has low application cost. It can quickly obtain high-resolution images, and monitor the pollution and risk of the ocean in real time, so as to improve the comprehensive development ability of China's ocean. This paper analyzes the monitoring status of UAV remote sensing technology, and focuses on the research of UAV remote sensing ocean monitoring technology, and analyzes the specific application of UAV remote sensing ocean monitoring technology to provide theoretical support for ocean management.
Target Tracking Control Based on Dual Model Fusion

Recent years have witnessed rapid progress in target tracking. To track a moving target for mobile robots, however, both performance and speed of the algorithm are indispensable. This paper proposes a dual model fusion strategy to improve target tracking drift. Among them, the spatiotemporal context model in middle-level feature space (MFSTC) is utilized to ameliorate target tracking effect when illumination or appearance changes, the mean shift based on 3D back projection (MS3D) is fused to allow the algorithm to tackle occlusion and deformation. Tracking controller based on visual servo is also designed for mobile robots. We validate the efficiency of the proposed fusion model on the university of Birmingham RGB-D Tracking Benchmark (BTB) and show that our approach compares favorably with the state-of-the-arts, mobile robots using our approach can track targets robustly under various challenging scenes.
Skills Of The Academic And Professional Interaction In Master’s Students Training

The relevance of a research is caused by search for the new technologies of training and modernization in the new conditions of «information boom». In this regard, this article is directed to recognize new technologies to develop critical thinking and the letter as the system of methods, which is adapted within a number of training courses in the Perm State National Research University. The article describes the course "Communications in the Professional and Academic Environment" developed by a group of authors (the initiative of administration of PSU) for first-year master’s students since 2018. The aim of the study is to describe technologies leading to the development of the academic and professional interaction’ skills during master’s students training. The leading methodological methods are: Free Writing, Focused Writing, «Expansion» or «explosion of the text», Text rendering/Collaborative Reading, The Socratic Method. The article reveals the content of these techniques and methods and presents the scheme of work with the text of Kant «What is enlightenment?» (1784). The materials presented in this article allow to develop scenarios of lessons and the scheme of work developed by authors. Furthermore, results show effectiveness of such technologies. However, the application of the described techniques is faced with a number of difficulties which are also specified.
Anomaly Detection for Cognitive Intelligence

Today’s industrial organizations are often tasked with objectives that are seemingly at odds with each other. They need to increase productivity while reducing machine failure or enhance product quality while speeding up time to market. Achieving these goals simultaneously can be incredibly challenging — if not impossible.
Implementation gamification concept on task management system based on web

Abstract Task management is the process of managing tasks through its life cycle. This involves planning, testing, tracking and reporting. Task management can help achieve individual goals, individual groups collaborate and share knowledge to achieve common goals. [1] Tasks are also distinguished by complexity, from low to high. Task management can form part of project management and process management for efficient workflows within an organization. Project managers who adhere to task-oriented management have a detailed and up-to-date project schedule, and a good team directs members and advances the project. [2] At present, the Task management system is growing along with the rapid advances in technology, so that anyone can access wherever he is. However, the majority of the current Task management system is not able to attract the attention and interest of its users. The concept of gamification will be applied to the ask management system so that work management is more organized, interesting and fun. This gamified system design will use the Marczewski’s Gamification Framework. Framework that has user types with the needs of learning and self-development. Game mechanics in this user types such as levels, challenges, and rewards can support gamified system users in achieving goals. The tests that have been conducted show the success in applying the Marczewski framework to the functional needs of users.
An improved contrast fusion approach in gradient domain for low light level image enhancement

Images often suffer from low visibility under nonuniform illumination, weak luminance and backlight environment. This paper describes a novel approach to improvement the visualization of poor light conditions. Firstly, we raise the global brightness using an adaptive exponent induced function. To enhance the local detail perception, the local contrast is boosted by contrast preserving which utilizes human vision system model. To not bias from original image, we generate the contrast combined original image and global illuminance enhance output in the gradient domain. To reduce artifacts, the guided filter is employed to estimate the local mean illuminance when transform the contrast. The experimental results demonstrate that our proposed method has a pleasant visual effect and low computational complexity than the state of the arts.
Blockchain and Digital Payments-The New Paradigm

Indian economy continued to be heavily dependent on cash for payments. But now with the rise in the digital payment system people of India are rapidly switching to non cash payment instruments because of their simplicity and convenience. Then also there are worries about the security. Earlier the application of Blockchain was only limited to supply chain, remittances, insurance, and various other sectors. But now Blockchain has step forward in Digital payments too and expectations are that it will play a major role in the future of Digital payment process solution. The study attempts to explain how Blockchain Technology will revolutionize and improve the current system of Digital Payment System.
Importance-Aware Filter Selection for Convolutional Neural Network Acceleration

Convolutional Neural Networks(CNNs) are widely used in many fields, including artificial intelligence, computer vision and video coding. However, CNNs are typically overparameterized and contain significant redundancy. Traditional model acceleration methods mainly rely on specific manual rules. This usually leads to sub-optimal results with relatively limited compression ratio. Recent works have deployed the self-learning agent on the layer-level acceleration but still combined with human-designed criterias. In this paper, we proposed a filter-based model acceleration method to directly and automatically decide which filters should be pruned with the reinforcement learning method DDPG. We designed a novel reward function with the reward shaping technique for the training process. Our method is utilized on the models trained on MNIST and CIFAR-10 datasets and achieves both higher acceleration ratio and less accuracy loss than the conventional methods simultaneously.
COMMUNICATIVE PARADIGM IN REFLECTIONS OF THE EDUCATIONAL PROCESS

The dominant feature of today is the “knowledge society” – a worldview and scientific concept, updated by social, cultural and philosophical discourses in the process of a thorough rethinking of the theory of “information society”. Gaining increasing popularity in connection with the problematization of the cognitive dimensions of education, economics and technology, this concept gains a modern definition: it is a society whose development is based on internal polyphony and the individual abilities of each of its representatives. Thus, in modern society, not only “information”, but also “knowledge” plays a special role. The separation and differentiation of these two concepts are of fundamental importance. The modern era (having reached the definition of the "era of knowledge") brings a new understanding of "knowledge".
RANCANGAN PENERAPAN SAK EMKM DENGAN APLIKASI AKUNTANSI UKM PADA BODY GYM FITNESS CENTER MALANG

&lt;p&gt;&lt;em&gt;SAK EMKM&lt;/em&gt;&lt;em&gt; is the&lt;/em&gt;&lt;em&gt; financial&lt;/em&gt;&lt;em&gt; accounting standard&lt;/em&gt;&lt;em&gt;s&lt;/em&gt;&lt;em&gt; for an entity that &lt;/em&gt;&lt;em&gt;classified as MSMEs and to&lt;/em&gt;&lt;em&gt; facilitate business &lt;/em&gt;&lt;em&gt;owners&lt;/em&gt;&lt;em&gt; to pre&lt;/em&gt;&lt;em&gt;pare&lt;/em&gt;&lt;em&gt; financial &lt;/em&gt;&lt;em&gt;statement&lt;/em&gt;&lt;em&gt;s&lt;/em&gt;&lt;em&gt;. One of the MSMEs is the Body Gym Fitness Center located in Sawojajar of Malang City is still recording transactions in the form of daily reports and monthly reports. The solution that is expected in the preparation of financial statements is the existence of software that allows MSMEs owners to compile financial statements even if they do not understand accounting. &lt;/em&gt;&lt;em&gt;The research method used is&lt;/em&gt;&lt;em&gt; descriptive&lt;/em&gt;&lt;em&gt; qualitative&lt;/em&gt;&lt;em&gt;. &lt;/em&gt;&lt;em&gt;The research site is the Body Gym Fitness Center addressed at &lt;/em&gt;&lt;em&gt;H7/D27 Danau Jonge Street&lt;/em&gt;&lt;em&gt;, Sawojajar, Malang.&lt;/em&gt;&lt;em&gt; Research subjects are the manager and cashier of the fitness center. Observations, interviews, and documentations are used as data collection techniques. Data reduction, data presentation, and conclusion drawing are used as data analysis methods.The results of this research are: income statement and balance sheet statement. Notes on financial statements are still compiled in manual way. There are two obstacles faced by the Body Gym Fitness Center to compile the financial statements: a) lack of understanding on financial Reporting, b) the absence of human resources who able to compile financial statements according to SAK EMKM.&lt;/em&gt;&lt;em&gt;&lt;/em&gt;&lt;/p&gt;&lt;p&gt; &lt;/p&gt;
The SUPER-Z (Scheme for Ulterior Processing and Emotive Regulation of Zest) model – on the conflict between pleasure and gratification in personal development. A proposal for a new theoretical model

The present work introduces a new model, aimed at description and graphical display of motivation-emotive processes which regulate one's behaviour. It concentrates on the ulterior processes which take place between the two observables: adversity (situation, opportunity) and the outgoing consequence (behavioural and/or emotive response). The author hopes that it may prove beneficial to counseling and psychotherapy clients. Apart from its compact and educational form, or its qualitative dimension, it also has a quantitative dimension, which encompasses a simple operation allowing for calculation and prediction of one's behaviour and thus helping in an assessment of a given response when decision-making is considered.Author's intention was to develop a proper tool to describe and research the reality of mutually exclusive processes of pursuing physiological pleasure and cognitive satisfaction (gratification) with regard to the cognitive development of schoolchildren. It also explores the danger of behavioural addiction, as a result of immersing oneself in addictive activities of autoerotism and entertainment. It is crucial not only for the well-being of an individual, but also has a wider, social scope.
A Prototype of Flex Sensor Based Data Gloves to Track the Movements of Fingers

In this paper, we propose a flex sensor-based data glove to track the movements of human fingers for virtual reality education. By putting flex sensors and utilizing an accelerometer, this data glove allows people to enjoy applications for virtual reality (VR) or augmented reality (AR). With the maximum and minimum values of the flex sensor at each finger joint, it determines an angle corresponding to the bending value of the flex sensor. It tracks the movements of fingers and hand gestures with respect to the angle values at finger joints. In order to prove the effectiveness of the proposed data glove, we implemented a VR classroom application.
Mapping the Research Landscape of Deep Learning from 2001 to 2019

This paper analyzes recent literature to investigate the emerging topics and trends in deep learning research. In this context, a semantic content analysis based on probabilistic topic modeling has been performed on 22,279 journal articles on the subject of deep learning during the last 19 years between 2001 and 2019. As a consequence of this analysis, 18 topics mapping the research landscape of deep learning was revealed. The topic Classification has the highest ratio (10.57%). It is followed by the topics Image feature representing (8.90%), and Data applications (8.71%). In addition, with the purpose of identifying the time-dependent average and acceleration of these the average number of articles for each topic, and the rate of increase in the number of articles for each topic were calculated. In this context, the topics were separated into three groups including hot topics, stable topics, and cold topics. These discovered which map the research landscape of deep learning, are expected to contribute to understanding the present and future of deep learning.
Mengembangkan E-Learning Pariwisata Budaya Pada Era 4.0

This scientific work aims to discuss public access to e-learning at Udayana University and its development as a center for studies in Indonesia in Era 4.0. As a result of the qualitative study, research data were obtained through observation, interviews with 12 informants who managed and managed e-library users at Udayana University, Denpasar, as well as study documents related to the research topic. The collected data were analyzed descriptively-qualitatively. The results of the study show that to support the teaching and learning process, Udayana University has developed an e-learning system that is equipped with an adequate e-library. Part of the academic community within the University of Udayana has used the e-library developed by the University of Udayana to support their studies. Udayana University has the potential to become an e-Learning Center in the field of in the 4.0 era today. It was recommended, that Udayana University e-library management continue to disseminate the existence of e-learning through community services and continue to strengthen e-library by continuing to update and add and reference cultural tourism according to the challenges of the development of in the 4.0 era.
A Collision-free Trajectory Planning Algorithm for Manipulators in Unstructured Environment

In this article, we propose a collision-free trajectory planning method for the manipulator that satisfies the robot’s operational requirements in unstructured environment. The algorithm considers the collision-free trajectory requirements of the end effector and the manipulator body. The reactive trajectory planning algorithm in the local environment is used to superimpose the control quantity on the velocity layer, which avoids the mechanical dynamics model in the calculation process, Parameter acquisition and computational complexity issues. The method is simulated by MATLAB and further implemented on the UR manipulator. The simulation and experimental results show the real-time and effectiveness of the algorithm.
Proposed Autonomous Vehicle Framework for Safe Driving

The proposed idea to improve the usage of an autonomous vehicle to increase safe driving based on the DARPA project, which already has shown the bright future of the autonomous vehicle. This paper proposes a new idea regarding the sensors and the autonomous vehicle framework, such as the usage of some algorithms and new UI along with the data logger. Moreover, the use of a LIDAR sensor is extended, along with a stereo camera and also ultrasonic sensor to make it more precise. Then, a calibration system is made for the stereo camera, which will take help from the ultrasonic sensor. Not the only ultrasonic, camera, and LIDAR, and IMU and GPS sensor are used to know the angle of x, y, and z of our vehicle. Both IMU and GPS are helping in the perception and mostly in the RNDF Localization that will be used in the pathfinding, planning, and control. The global Dynamic-Window approach is applied for the path selection algorithm and combining it with the Autonomous System Approach. The speed selection algorithm will decide on the speed limit and the camera. Not only that but the implement the Inter-Vehicle Algorithm is implemented, which makes the vehicles can exchange information with the other vehicles in the radius of the vehicle. Which all of this together can make a safer driving environment, not only for cars but another vehicle as well. Hope this framework can be used for any other vehicle project and becoming the base of all autonomous vehicle.
Positive Interference of Hemolysis on Kaliemia Dosage Corresponding to Hemolysis Degree on Bs 300

The main reason of this study is to determine from which serum hemolysis index the interference was positive for the kaliemia dosage on automaton BS 300 (Mindray®). The secondary aim was to establish a reliable reporting for the clinicians in front of hemolysed samples for the kaliemia dosage. The hemolysis additions method was run to create an increasing hemoglobin range of concentration varying from 0 to 12 g/dl. To determine an influence of the hemolysis on the measure, the variation limit of 10% was chosen. Statistic analysis was done by XLSTAT, therefore the student paired t-test allowed us to compare parameters rates dosed before and after hemolysis. The threshold for statistical significance was 0.05. According to this study, kaliemia positive interference became significant from hemolysis index [+++]: H4 = 1.5 g/dl.
Decoupled High-Dimensional Spatial Pose-Block for 3D Human Pose Estimation

This paper investigates the problem of estimating 3D human pose from monocular image, one of the most formidable tasks in computer vision due to depth ambiguity, occlusion and intricate hierarchical arrangement of human body parts. Our proposed method consists of several decoupled sub-networks that demonstrate the effectiveness of decoupled architecture and high-dimensional projection on features of neural network. Contrary to the curse of dimensionality, we show that deploying high-dimensional linear projection on input and other features supervises neurons to learn spatial reasoning of images more accurately. Our 3D pose estimator takes 2D pose predictions and directly learns to predict poses in 3D space. We also propose a spatial pose-block that considers the complicated hierarchy and structure of human body and further refines the predicted pose from 3D predictor for final output. We validate our 3D pose estimation model on Human 3.6M benchmark under three protocols. Empirical evaluations show that our approach achieves performance competitive to state-of-the-art on similar benchmark.
DASH Transport Emulator System Supporting Multi-Broadcast Standards

This paper proposes the effective protocol structure supporting multi-standards for delivering 4K UHD contents, which consists of ATSC 3.0 and DVB-T2 technologies. We also develop a DASH transport emulator system based on the proposed protocol structure and verify its availability through a testbed including a receiver platform. The experiment shows that the proposed protocol stack and the developed emulator are well suited for providing 4K UHD content in a variety of broadcast standards.
MOOC Bandwidth Allocation Optimization Strategy

This paper proposes a bandwidth allocation strategy based on differentiated bandwidth requirements for bandwidth allocation when multiple users access teaching resources on MOOC platform. This method improves the currently used bandwidth allocation strategy-the single-chain on-demand allocation strategy: considering the high lag of the small demand event under the original strategy, the bandwidth requirement of the small event is preferentially allocated to improve the allocation efficiency of the entire system. At the same time, the long waiting requests are optimized, and the weight of the event is appropriately increased to reduce the waiting time of such requests. The simulation results show that the optimization strategy proposed in this paper significantly improves the efficiency of small event resolution and reduces the waiting time of large requests. It reflects the efficiency and fairness of the distribution strategy.
Use of Floating Photovoltaics to Increase Solar Stability

Abstract—Commonly installed solar panels have several deficiencies. One of the common problems is its fluctuating output caused by its high temperature and low amount of sun irradiation. This fluctuation can be minimized using a better cooling system. In this study, the cooling system tested is water cooling. We float a solar panel above the water to decrease its temperature. When the solar panel’s temperature decreases, its output will be more stable. The experiment is conducted at Universitas Indonesia’s lake during noon. Keyword—Floating PV, PV Efficiency
Development of Hybrid Result Processing and Management System for Nigerian Universities

Development of Hybrid Result Processing and Management System for Nigerian Universities 1 IntroductionIn Universities, processing and management of students' results involve many complex stages (Okebukola, 2010).As more information are made available in a variety of formats and sources, processing and management of data becomes more and more complex, which can be handled using Information System approach (Oliveira, Thomas & Espadanal, 2014).Despite the proliferation of vendor result processing and management systems, the automation level of the existing singleplatform system models prevalent in Nigerian Universities are unsatisfactory.The existing single-platform systems are the completely offline (standalone) system and the completely online (client-server) system, which can be web-based or application-based (Obiniyi & Ezugwu, 2010;Youh, 2010; Eludire, 2011;Ukem & Ofoegbu, 2012;Obasi, Nwachukwu & Ugwu, 2013;Akinmosin, 2014; Anyiam, 2017).Therefore, this work has adopted the hybrid model, to optimize the strengths of the existing single-platform model.In this study "hybrid" refers to an offline-online platform created by combining and optimizing the standalone and the client-server platforms.Each one of these platforms complements the strengths and weaknesses of the other.Hence, the proposed system is a hybrid of the standalone and the client-server,