Reviewerly/exHarmony huggingface dataset:
Path Planning and Obstacles Avoidance in Dynamic Workspace Using Polygon Shape Tangents Algorithm

This paper presents the design of a path planning system in an environment that contains a set of static and dynamic polygon obstacles localized randomly. In this paper, an algorithm so-called (Polygon shape tangents algorithm) is proposed to move a mobile robot from a source point to a destination point with no collision with surrounding obstacles using the visibility binary tree algorithm. The methodology of this algorithm is based on predicting the steps of a robot trajectory from the source to the destination point. The polygon shapes tangent algorithm is compared with the virtual circles' tangents algorithm for different numbers of static and dynamic polygon obstacles for the time of arrival and the length of the path to the target. The obtained result shows that the used algorithm has better performance than the other algorithms and gets less time of arrival and shortest path with free collision.
Meaning, motive and reconfiguration: could Activity Theory provide design directions for personal fitness technology?

This paper reflects on how Activity Theory might be applied to suggest new design directions for technology that aims to support and promote personal health objectives like fitness or weight loss. We draw on interviews with people who have established fitness practices (running or cycling) and those who use devices like the Fitbit in order to understand how Activity Theory concepts can help to explain aspects of their practice. We draw on existing work in Activity Theory to suggest two new frames. First, an action-meaning frame that encourages us to consider the meaningful motives behind an activity, and to situate in-the-moment instrumental motivation within that meaningful context, second, a cultural-historical frame that encourages us to consider the historicity of personal healthful activity – where our activities came from – and the possible future activities that current activities could be reconfigured into. We suggest possible design approaches – such as designing in support of the ‘activity formation process’ itself, as promising avenues for future research.
Pengamanan Pesan Menggunakan Metode MLSB PRNG dan Kompresi File dengan Algoritma RLE pada File Audio

The development of sending messages from one place to another can be done regardless of distance and time. However, the delivery of these messages is hampered by problems of confidentiality and message security. Especially if the data contains important and confidential information that not just anyone is allowed to read and find out about it. In overcoming this problem, steganography techniques can be used with the Modified Least Significant Bit algorithm, where the determination of the embedding index is based on random numbers generated by the Pseudo-Random Number Generator with the Multiply with Carry algorithm. In addition to security, data size is also an important factor in data transmission. The larger the size the more time it will take to transmit the data. Therefore, the Run Length Encoding algorithm is needed to compress the data size, which will shorten the time to transmit the data. In the message extraction process, a stego key is needed to generate random numbers. Based on the testing of the extraction process with an arbitrary key, it is obtained that the message tested is not the original message that has been embedded previously. In the results of the embedding and extraction process, it is obtained that the average value of PSNR is 63.61498 dB, which means the quality of the stego object produced is quite good. Whereas the measurement of file compression performance results with an average value of Compression Ratio at 1.00113, Space Savings at 0.1133%, and Bitrate at 584025.33 bits/sample. These results indicate that RLE algorithm compression is not efficient to compress file sizes.
Spatio-temporal variability of global crop water requirement, during 1950-2020

&amp;lt;p&amp;gt;Intensification of studies of the agricultural water requirement is a main challenge in a globalized world, where food production is pushed to meet the needs of a growing population and the international trade network requires large-scale planning policies. Agriculture is the human activity that consumes most of the withdrawn freshwater and climate change can greatly influence the amount of irrigation required by crops. In recent years, the widespread availability of satellite images is providing an important contribution to water resources management, offering data at high spatio-temporal resolution over an interestingly long period of time.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;This study deals with the temporal variability of global water requirement of the main crops, which is assessed through a comprehensive model, driven by climate forcings, that estimates the daily crop water requirement on a spatial resolution of 5 arc-min (or 0.0833&amp;amp;#176;) from 1950 to 2020. The model computes a soil water balance using daily input data of precipitation and evapotranspiration, based on the high-resolution ERA5 reanalysis dataset from the Climate Change Service of the Copernicus Program, which combines satellite information and ground measurements. The distribution of harvested areas and the length of crop development phases are kept constant, to analyze the variability of crop water requirement strictly related to climate forcings, both in terms of precipitation (green water) and irrigation (blue water). The model considers the separation between irrigated and rainfed areas, in order to provide a consistent spatial distribution of irrigation requirements. Examining the spatio-temporal variability of the crop water requirement can support considerations on the effects of global warming in different areas in the world.&amp;lt;/p&amp;gt;
Estimating Homogeneous Data-driven BRDF Parameters from a Reflectance Map under Known Natural Lighting.

In this paper we demonstrate robust estimation of the model parameters of a fully-linear data-driven BRDF model from a reflectance map under known natural lighting. To regularize the estimation of the model parameters, we leverage the reflectance similarities within a material class. We approximate the space of homogeneous BRDFs using a Gaussian mixture model, and assign a material class to each Gaussian in the mixture model. We formulate the estimation of the model parameters as a non-linear maximum a-posteriori optimization, and introduce a linear approximation that estimates a solution per material class from which the best solution is selected. We demonstrate the efficacy and robustness of our method using the MERL BRDF database under a variety of natural lighting conditions, and we provide a proof-of-concept real-world experiment.
The Reality of The Electronic Management for Academic Administrators at The University of Tabuk: واقع الإدارة الإلكترونية للإداريين الأكاديميين بجامعة تبوك

The study aimed to identify the reality of the electronic management of the academic administrators of Tabuk University in Saudi Arabia. The study used descriptive analytical method by applying a questionnaire to a sample of (117) academic administrators at Tabuk University for the academic year 2014-2015. The study reached several results, the most important of which is that the reality of electronic administration at Tabuk University was average. In addition, the field of training policies in the application of electronic management came first place and then the field of electronic monitoring and evaluation, then the field of electronic implementation, planning and organization, and finally the field of performance evaluation. The study found that the level of the field of training policies in the application of electronic management was high because of the interest of the university administration to provide the latest software and equipment that develops administrative work. The study found that the level of planning and organization was between high and medium. The study recommended the need to train academic administrators on electronic management in the field of planning and organization, and work to raise the awareness of the senior management of the university and raise the awareness of academic administrators of the importance of electronic management and its effective role in administrative work. The study also recommended conducting training courses in electronic administration for deans of colleges. In addition to adopting the proposed program that was developed to develop the efficiency of academic administrators in electronic administration at Tabuk University.
CNN comparisons models on dyslexia handwriting classification / Iza Sazanita Isa ... [et al.]

Dyslexia is developed by neurobiological in origin which is categorized as learning disorder that affect the ability to read, spell, write and speak. The most common dyslexia symptom can easily be identified through the handwriting pattern. There are many intelligence and computational methods that have been proposed, and they have provided various and different performance to evaluate the proposed system ability. However, system performances are varied and nonstandardized in each assesment on dyslexic children to validate the presence of dyslexia symptom. The recent deep learning models have been employed to improve the assesment performance and (the models/ they have shown) shows significant output to detect and classify the present of dyslexia symptoms among school children. Therefore, there is a crucial need in deep learning, specifically for Convolutional Neural Network ( CNN) to validate performances of different networks, so that the most performed CNN could be a bench mark in evaluation to detect such symptom. This study aims to compare different deep learning networks specifically the CNN models to validate its performance in terms of the capability to classify dyslexic handwriting among school children. This study is proposed to compare different CNN models such as CNN-1, CNN-2, CNN-3 and LeNet-5. The proposed methods to compare the CNN performances are developed by using Jupyter notebook as platform. Meanwhile, keras is the higher-level API framework to provide a more flexible way for defining models. It specifically allows to define multiple input or output models as well as models that share layers. The tensorflow is also used for machine learning applications such as neural networks. Before that, the dataset of handwriting image is preprocessed by the augmentation process which includes the rotation of all images. CNN models have shown significant performance and provided sufficient results of performance with more than 87% of accuracy in classifying the potential dyslexia symptom based on handwritten images
Assured Cloud Platforms for Industrial Cyber-Physical Systems: The ACICS Approach

With the emergence of “Industry 4.0”, the integration of cloud technologies and industrial cyber-physical systems becomes increasingly important to boost productivity. The industrial cyber-physical systems infrastructures and their fusion with the cloud lead to massive amounts of data acquired for controlling particular processes, but also for supporting decision-making. Although cloud-assisted systems are increasingly important in many domains, and ensuring their dependability is crucial, existing platforms do not provide satisfactory support to meet the dependability demands of industrial applications. The overall goal of the ACICS project is to provide models, methods and tools that facilitate a substantial increase of dependability of cloud-based platforms for industrial cyber-physical applications, with respect to consistency, security and interoperability of data, timing predictability of using shared virtual resources, together with a framework of guaranteeing quality-of-service enforcement by formal analysis and verification. In this paper, we present the main conceptual ideas behind the ACICS approach.
Rancang Bangun Sistem Pemadam Api pada Malam Hari Berbasis Arduino Uno

Fires can occur anywhere and at any time both at home, at school and in other places other than that can occur during the day and night. Fires occur as a result of a fire that is not detected as quickly as possible and the existing fire is getting bigger which results in a fire. But the possibility of a fire at night will be greater due to the homeowner in a state of sleep. The above will make every homeowner feel uneasy and worried. In the design of this system fire detection is based on the direction of the wind and fire extinguishing automatically by the water pump at night it happens due to an integrated system of fire sensors, compass sensors with water pumps. In this case the function of the water pump system is controlled by information from the fire sensor. The water pumping system will work if it is informed by sensors that a fire has been detected. In addition this system is equipped with a compass sensor to determine the hotspot based on the direction of the wind. The location of the hotspot will be informed to the user via GSM SIM 800L. In addition to information that a fire fighting fire has been detected, it will also be notified to users. The expected outcome of this design is to help homeowners to prevent house fires because this system automatically detects fires and extinguishes fires at night and informs users of the detected and extinguished fires automatically. So that the users of this system can sleep well at night without feeling worried.
Design and Implementation of Maker System based on Wechat Public Platform Present

This paper designs and implements a maker system based on wechat public platform, which aims to provide a platform for the majority of maker enthusiasts, especially teenagers, to learn experience and exchange experiences; at the same time, it can make profits by relying on the platform in the later stage. The courses on the platform are all recorded by famous teachers. In terms of function, users can watch, share and purchase courses on the platform; at the same time, users can communicate in the user community, upload and interact with others to share their works. The platform also contains user information system, which has different degrees of viewing courses for users with different permissions.
Организация практического занятия на тему «Полиуретан»

This article deals with the organization of a practical lesson on the topic "Polyurethane" in the section "Artificial and synthetic polymers" of the 10th grade program based on the textbook by O.S. Gabrielyan. The paper describes the methodology for organizing practical lessons in chemistry, their significance, and also presents examples of tasks for such a lesson.
평화통일을 향한 평화선교와 목회

Recently the term peaceful unification has been used separately for peace and unification. This can be seen as the spread of fatigue due to the delay in unification, the movement to pursue peaceful coexistence, and the differences in concepts of peace and unification. What is clear is that unification should be done in a peaceful way, and unification should bring peace. In a pluralistic society, mission must pursue peace and achieve peace. Above all, forgiveness and reconciliation should be preceded for peaceful reunification of the two Koreas. It should be remembered that peace is not a slogan but a practice. With peace as the denominator, peace in which unification, mission, and ministry are organically linked must be established in this land.
KEMAMPUAN MENULIS LAPORAN HASIL OBSERVASI PADA SISWA KELAS X SEMESTER GENAP SMA NEGERI 14 BANDAR LAMPUNG

The problems studied in this study relate to the ability to write observational reports. The purpose of this study was to describe the abilities and constraints of students in writing a report on the results of the X class observation of the even semester of SMA 14 Bandar Lampung. This study used quantutative method. The population 30 students. The sampling technique used was cluster random sampling with a sample of 27 students. Data analysis used flowing analiysis. The results of data analysis, writing ability in class X students in even semester 11 of SMA Negeri Bandar Lampung are as follows. (1) excellent aspects of the title with an average value of 93,( 2) general classification aspects both with an average value of 85, (3) aspects of details with an average value of 80 good categories, (4) aspects of integrated discourse with average values 70, (5) sentence structure aspects with an average value of 60, (6) enough word choice aspects with an average value of 75, (7) aspects of the accuracy of spelling writing get an average value of 61 with sufficient categories. The overall value of the ability to write observational reports on class X students in the even semester of SMA 14 Bandar Lampung is quite an average value of 74.
On the Use of Region Convolutional Neural Network for Object Detection

In the recent generations, object detection (OD) has played an important role ranging from navigation of autonomous vehicles to video data compression. In the area of OD, deep learning (DL) has played a vital role in detecting the objects automatically. Breakthroughs have been achieved in the field of object detection with the simultaneous advancements in the field of DL. In this article, the author proposes a region-based neural network for detecting desired object in which it overcomes the computational complexity acquired by convolutional neural networks and provides a better accuracy. For training larger datasets and reusability, the deep learning principles are also proposed.
CODA methods and the multivariate Student distribution: an application to political economy

In a multiparty election, the vote shares form a composition vector (mathematically, a vector belonging to a simplex). Political economists are interested by the impact of the characteristics of the geographical units on the outcome of the elections. Because vote shares data often exhibit heavy tail behavior, we decide to use a Student error distribution. We describe how to adapt the CODA regression model to the multivariate Student error distribution. For a Gaussian errors vector, the assumption of independent coordinates is equivalent to the assumption of correlated coordinates. However, this equivalence is no longer true when considering a multivariate Student distribution. In this paper, we recall these two types of multivariate Student distribution for the error term, and concentrate on building a CODA regression model using the multivariate independent Student error vectors. We compare this model to a model which uses the multivariate Gaussian distribution. The models are fitted on French electoral data of the 2015 departmental elections. We illustrate on this data set a method for selecting between the Gaussian and the Student models based on the Mahalanobis distance.
El impacto del Aislamiento Social por COVID-19 en docentes: Una aproximación a sus condicionantes familiares, económicos y laborales

The purpose of this research is to inquire about the family, economic and work conditions that affect the teaching work in the face of the situation of preventive and compulsory social isolation that prevails in the Argentine territory since March 20, 2020. We worked with a sample intentional made up of 777 participants, mostly teachers or managers, belonging to institutions of different educational levels in the Province of Mendoza, Argentina. The methodological design is quantitative, descriptive / correlational type; cross section. Among the results obtained, we can highlight the difficulties that occurred in the family nucleus and in the teacher's own emotional life, as a consequence of the transfer of work to the home in an anomalous situation of confinement. It is also described in detail which are and how the different environments of the house where the teacher carries out his pedagogical activity are conditioned; in relation to factors related to family life and the economic impact generated by isolation within their family group, among other minor analyzes. The findings invite further study of the consequences of the situation of social isolation in the educational system.
LibGuides: Blockchain for Lawyers: Research Resources

This guide provides resources on blockchain technology. Resources for legal and multipdisciplinary research on blockchain technology and use cases.
Light Weight and Privacy Preserving Medical Services Access for Healthcare Cloud

With the rapid climb of cloud computing technology, healthcare cloud system is turning into progressively fashionably, that reduces the time of unwellness diagnosing and brings nice convenience to people’s lives, meantime the healthcare cloud system sometimes involves user’s non-public information, and there is still a challenge the way to make sure that the sensitive information of users is not disclosed. Advanced encryption standard (AES) could be a terribly helpful technique for the privacy protection of users and is incredibly appropriate for anonymous authentication and privacy access management.
PANCASILA-BASED DIGITAL FLASHCARD FOR ELEMENTARY STUDENTS

This study aims to research and develop instructional media so that it can improve elementary school students' English vocabulary, especially vocabulary related to Pancasila values. The specific objective of this research is to determine the results of knowledge attainment using Pancasila-based digital flashcard application media and conventional media. The novelty of this research is to use the Pancasila values variable in improving English vocabulary. Research and Development method is used in this research consisting of product manufacturing, initial product validation, product testing, usage trials, and final product. This research produces Pancasila-based Digital Flashcard for Elementary Students which contains several users’ interface pages, namely the home page, question page, answer page, and scoring page. It also has several function buttons, namely the exit button, home button, previous button, and next button. Based on the effectiveness test, Pancasila-based Digital Flashcard for Elementary Students is more effective compared to conventional flashcard in achieving vocabularies related to Pancasila values. Further research can be carried out related to interactive learning media, especially in an effort to improve the nation's character building.
Exploring How Open-Access Snacking Influences Self-Regulation and Overall Mood in Preschoolers

Self-regulation is a hallmark of early development, enabling the child to increasingly monitor and respond to her own and others’ emotions, cognitions and behaviors. Adults commonly use snacks as an aid to self-regulate their daily stressors and this mechanism has been shown to be beneficial in children. However, preschool settings rarely provide open access to snacks as a self-regulation mechanism, hindering their ability to manage their energy level and overall mood. The following paper proposes to evaluate an open-access snacking procedure to help improve opportunities for self-regulation through snacking in preschool settings.