Reviewerly/exHarmony huggingface dataset:
Design Of Virtual Education Experiment Platform Based On Artificial Intelligence

In order to solve the problem that the digital image processing of traditional virtual education experiment platform is time-consuming and the evaluation result of the platform does not match the actual result, the design method of virtual education experiment platform based on artificial intelligence is proposed. This paper introduces the general framework of virtual education experiment platform based on artificial intelligence, including remote registration, intelligent push of learning courses, establishment of teaching centre website by using artificial intelligence technology, etc. Based on the framework and heap code, the virtual education experiment platform is built by server and client calling service objects. The experimental results show that the accuracy of the proposed method is between 80% and 95%, the time-consuming is less than 0.02 μs, and the fitting range is between 80% and 100%. Compared with the methods based on 3D MAX, the proposed method has obvious advantages.
Building a Geological Cyber-infrastructure: Automatically detecting&#x0D;Clasts in Photomicrographs

Earth and Space Science Open Archive PosterOpen AccessYou are viewing the latest version by default [v1]Building a Geological Cyber-infrastructure: Automatically detecting Clasts in PhotomicrographsAuthors Ari'El Encarnacion Ben Katin Matty Mookerjee Gurman Gill iDSee all authors Ari'El EncarnacionSonoma State Universityview email addressThe email was not providedcopy email addressBen KatinSonoma State Universityview email addressThe email was not providedcopy email addressMatty MookerjeeSonoma State Universityview email addressThe email was not providedcopy email addressGurman GilliDCorresponding Author• Submitting AuthorSonoma State UniversityiDhttps://orcid.org/0000-0001-5827-9444view email addressThe email was not providedcopy email address
Control of a tri-star wheeled mobile robot climbing a stair

Tri-star wheel is characterized by being able to climb a stair in addition to the stability during translation. In this report, we propose a nonlinear controller for climbing a robot using two-wheeled robot. First two types of mathematical model are described, and then a nonlinear controller for climbing a stair is proposed. The controller is switched, rotational angle control until a certain posture and then damping control, employing state linearization technique together with integral sliding mode control to provide robust performance against model uncertainly and disturbance. Finally, numerical simulation shows the effectiveness of the designed controller.
Incremental Search for Counterexample-Guided Cartesian Abstraction Refinement

Counterexample-guided Cartesian abstraction refinement has been shown to yield informative heuristics for optimal classical planning. The algorithm iteratively finds an abstract solution and uses it to decide how to refine the abstraction. Since the abstraction grows in each step, finding solutions is the main bottleneck of the refinement loop. We cast the refinements as an incremental search problem and show that this drastically reduces the time for computing abstractions.
Thing in, a research platform for the Web of Things

Thing in is a research platform built by Orange to experiment the Web of Things. The heart of the platform consists of an object graph knowledge database. Each vertex of this graph is the representation of a connected object or an object giving information on the context in which a connected object evolves. Each edge gives information about the relation between two objects (e.g. within, owned by, adjacent to, etc.). This graph is not only shaped by the quantity but also to the diversity of information provided to the emerging IoT applications. In order to do so, Thing in relies on a strong coupling of graphbased database technologies with semantic technologies. Hence, the Thing in platform makes possible to cross heterogeneous information from billions of objects and to multiply the top use cases.
Image matching technique based on SURF descriptors for offline handwritten Arabic word segmentation

Image matching is an important task with many applications in computer vision and robotics. Recently, several scale-invariant features have been proposed in the literature and one of them is the local descriptors namely speeded-up robust features (SURF). Those features are scale and rotation-invariant descriptor, and have the advantage to being calculated quickly and efficiently. In this paper we presents a new segmentation system of handwritten Arabic words based on SURF descriptors. Firstly, a set of Arabic characters images were used to build 106 characters' patterns, which are used by a segmentation process based on an image matching technique. Tests were performed on our new databese of handwritten Arabic words. A high correct segmentation rate was reported.
Modeling and simulation of a robot equipped with two independent driving wheels

Labor shortage at the site of nursing care is a serious problem in Japan. Autonomous driving technique of wheelchair as a solution of this problem has been studied. However, the cost of that wheel chair will be expensive due to use high performance sensors and stereo camera. Under these circumstances, a control strategy of wheelchairs platooning has been studied in this research to solve the labor shortage problem. To realize the automated platooning of wheelchairs, estimation and control technique of the wheelchair position and angle are required. And that, expensive sensor devices such as stereo camera were not used in this automated platooning wheelchair due to suppress the increase in cost. Modeling and driving simulation of the robot equipped with two independent driving wheels considered as a wheelchair is described in this paper.
When Perfect Is Not Good Enough: On the Search Behaviour of Symbolic Heuristic Search

Symbolic search has proven to be a competitive approach to cost-optimal planning, as it compactly represents sets of states by symbolic data structures. While heuristics for symbolic search exist, symbolic bidirectional blind search empirically outperforms its heuristic counterpart and is therefore the dominant search strategy. This prompts the question of why heuristics do not seem to pay off in symbolic search. As a first step in answering this question, we investigate the search behaviour of symbolic heuristic search by means of BDDA⋆. Previous work identified the partitioning of state sets according to their heuristic values as the main bottleneck. We theoretically and empirically evaluate the search behaviour of BDDA⋆ and reveal another fundamental problem: we prove that the use of a heuristic does not always improve the search performance of BDDA⋆. In general, even the perfect heuristic can exponentially deteriorate search performance.
Design of Step-by-step teaching System for English Writing based on Cloud Network Technology

Aiming at the problems of low user satisfaction, low user interaction accuracy and high user help-seeking rate in the step-by-step teaching system of English writing designed by the present method, a step-by-step teaching system of English writing based on cloud network technology is proposed. In the functional module design part of the system, the foreground and background display modules of the system are designed. The front-end display module includes online question answering, video learning, data learning, etc. The back-end display module includes learning and data management, the design of step-by-step teaching website for English writing, online learning system and teaching mode. Through the design of functional modules and step-by-step teaching website of English writing, the design of step-by-step teaching system of English writing is finally completed. The experimental results show that the system designed by this method has higher user satisfaction, higher user interaction accuracy and lower user help-seeking rate.
Study on Mechanical Properties of Pervious Concrete Paver Block

Pervious paver concrete is a special type of concrete with high porosity used forconcrete flat work applications that allow water from precipitation and other sourcesto pass directly through, thereby reducing runoff from a site and allowing ground water recharge.This porosity is attained by a highly interconnected void content.Typically pervious concrete has no or very less amount of fine aggregate and had just enough cementing paste to coat coarse aggregate particles while preserving the interconnectivity of the voids.It is a special type of concrete characterized by an interconnected pore structure and high void content / porosity typically in the range of 15 to 35% by volume.The use of pervious concrete may reduce flooding risk, reduce storm-water runoff, reduce noise when in contact with vehicle tires, and prevent glare and skidding during rainy season by allowing water to infiltrate freely through its pores, thus recharge the ground water.A pervious concrete was designed by taking different proportions of fibers like Glass and Polypropylene.A small attempt is made to design the nominal porous paver concrete considering the local road conditions.Compressive Strength test, Void Ratio test, flexural strength, Split tensile strength, permeability test and Infiltration test were carried for the designed Mix proportions.
Man is the main substantial element of moral life

In the article, man and his units are considered to be the creators and carriers of moral culture. There can be no moral life without a man. Therefore, attention is drawn to the fact that man and his units are the core of moral life, the main substantial element of moral culture that makes up the system, the creator, and carrier of moral culture from generation to generation. The article aims to identify and substantiate the objects of the formation of moral culture, the implementation of moral education processes.
A Text Information Hiding Method Based on Sentiment Word Substitution

Text information hiding based on synonym substitution is sensitive to synonym dictionary quality. Synonym word forest has a large number of irreplaceable old words, and the network new words are not added, using this dictionary to perform synonym substitution steganography on the carrier text which is easy to change the statistical features of the original text. To solve the above problem, this paper proposed a method that dynamically expands sentiment dictionary. Firstly, we collected and merged the three basic sentiment dictionaries that are widely used and using the conjunction rules to identify the candidate sentiment words. Then the cosine similarity between the sentiment words is calculated by the distributed word vector representation tool Word2vec. The sentiment words have a high similarity value which is added to the sentiment word dictionary. The expanded sentiment dictionary is used as a text information hiding dictionary based on sentiment word substitution, and the 7/3 matrix encoding method is used. Experimental analysis shows that the conjunction rules can effectively identify sentiment words, and the extended sentiment dictionary with 42.8% embedding rate for sentiment word substitution steganography can effectively reduce the possibility of statistical analysis.
Behavior detection as a privacy-enhancing security technology in prison cells

The everyday life of a prison is not only shaped by the objective of resocialisation but also, as a rule, by aspects of security, which have the highest priority. A particular challenge is the prompt detection of potentially dangerous behavior. In the face of scarce human resources and psychologically limited attention, the use of video live streams is not an optimal solution. An alternative are 3D sensors, which enable the automatic and robust detection of such behavior in detention rooms and other areas such as hospital wards or workshops, while respecting the privacy of the monitored people. In this paper we present our research on this matter, based on realistic data that was acquired in an Austrian prison over 3.5 months. We discuss the recording setup and resulting dataset, and present algorithms for detecting selected behaviors. The experimental results show that these behaviors can be detected reliably, demonstrating that automatic behavior analysis in 3D data is a promising means for supporting the security personnel.
The Digital Divide: How Low-Literate Freshman Search for Information

Prior research with low literate internet users has shown a tendency to perform fewer searches and do not ‘fact check’ the information they found, often being satisfied with their initial findings. Research was conducted to understand how degree seeking low literate and medium to high literate adults search for information online. Ten low literate and ten medium to high literate degree seeking freshman and five non-degree seeking low literate participants were recruited to conduct three search tasks designed to mimic a low-level college science task. Low literate degree seeking participants were found to have search habits similar to the degree seeking medium to high literate participants. Degree seeking participants performed more searches and accessed more sites for each task than the non-degree seeking participants. Non-degree seeking participants showed signs of task fatigue, while degree seeking participants did not show a similar fatigue. Results indicate degree seeking adults have higher levels of digital literacy than non-degree seeking adults.
An analysis on Ego resilience and P.E. Class Satisfaction : Focusing on High School Students in Henan Province in China

The purpose of the study is to investigate research on ego resiliency and P.E. Class satisfaction of high school students in Henan province, China.BR In order to achieve the goal, conducted random sampling to select the high school, and used convenience sampling to distribute the questionnaires. total of 1,400 questionnaires used for analysis. Based on the collected data, Win SAS Ver.9.2 was applied for analysis with frequency analysis, confirmatory analysis, construct validity, correlation analysis and multiple linear regression analysis. The results of this study can be summarized as follows:BR As a result of relationship between ego resilient and class satisfaction, all sub-variables of ego resilient significantly influenced on class satisfaction sub-variables; mastery experience, cognitive development, normative success, interaction with others, health and enjoyment, relaxation.
Post-moore server architecture

Cloud providers are building infrastructure at unprecedented speeds building the foundation for global IT services and cost-effective containerized apps. Unfortunately the silicon technologies we have relied on for the past several decades leading to the exponential growth in IT have slowed down in scaling and will soon come to a halt, resulting in diminishing returns in digital platform scalability in the post-Moore era of computing. Meanwhile the basic architecture of a modern server blade still dates back to the CPU-centric desktop PC of the 80âĂZs managing memory at hardware speeds but accessing the network, storage and now discrete accelerators through the OS, legacy software stacks and peripheral interfaces. This talk will make the case for a clean slate co-design of server software and hardware for the post-Moore era.
Analysis of the Behavior of a User’s Sensory Mechanisms During the Interaction Processes with an Object of the New Media and Its Work System

It has been detected through dynamic networks that the activation of certain sensory mechanisms in the processes of interaction with the YouTube Object generate breakpoints in the Focal Attention Processes aimed at the Visual Symbols. Likewise, it was detected that the user’s interoceptive responses in the interaction processes with the device’s work system were related to the spatial location of the visual symbols, and the interoceptive responses in the interaction processes with the YouTube Object were determined by the sensitive qualities of visual symbols. Also the studies showed the existence of a possible relationship with the interoceptive responses, the behavior patterns of a user and the Focal Attention processes delegated to visual symbols. Therefore, it is intended to promote reflections and enabling knowledge on the use of the objects of new media based on the interaction processes generated by a user.
Image Region Analysis Based Automated Meter Reading Using MATLAB

The conventional method of taking meter reading is that the operator has to visit each site to take the images of the meter and then feed to their system. This task can be minimized by using an Automated meter reading system, using image processing technique the meter reading can be deduced from the image. A raspberry pi Module with camera connected to it will be used to capture the images of the meter and then compute those images, it can work on real time scenarios and at the instant when image is taken, the Region of Interest will be defined and meter reading will be extracted and uploaded to the server from where it can be accessed and displayed on User Interface.
REDESIGNING BLENDED LEARNING TOE-MOOTING IN MOVING TOWARDS APAPERLESS ASSESSMENT METHOD WITH ATOTAL USAGE OF TECHNOLOGIES

Currently, mooting is a compulsory subject in most universities or law schools in most countries.Moot is the argument of the legal issues raised by a hypothetical case that takes place in the imaginary setting ofthe court of law. It is a course that challenges the students on their understanding and application of lawsthrough writing and oral presentation skills. Electronic mooting is beneficial since students and the judges caninteract without the constraint of time and geographical location, it is cost-saving and flexible. This paperdiscusses traditional mooting courses, blended learning, and online mooting. The discussion is limited toMultimedia University (MMU). In MMU, 70% of the process involving compulsory mooting is done throughblended learning. In conducting this research, some of the students have submitted their bundle of documentsonline. This paper aims to look at respond of the students whether this subject should be conducted online.Quantitative and qualitative research methods are adopted in preparing this paper. The result showed that themajority of the respondents supported the idea for e-mooting.
Minimal phrase structure: a new formalized theory of phrase structure

X' theory was a major milestone in the history of the development of generative grammar.1 It enabled important insights to be made into the phrase structure of human language, but it had a number of weaknesses, and has been essentially replaced in Chomskyan generativism by Bare Phrase Structure (BPS), which assumes fewer theoretical primitives than X0 theory, and also avoids several of the latter’s weaknesses. However, Bare Phrase Structure has not been widely adopted outside the Minimalist Program (MP), rather, X0 theory remains widespread. In this paper, we develop a new, fully formalized approach to phrase structure which incorporates insights and advances from BPS, but does not require the Minimalist-specific assumptions that come with BPS. We formulate our proposal within Lexical-Functional Grammar (LFG), providing an empirically and theoretically superior model for phrase structure compared with standard versions of X0 theory current in LFG.
SISTEM INFORMASI PELAYANAN PUBLIK KOTA MALANG BERBASIS WEB

E-government is expected to help the achievement of the government, such as improving administration, internal efficiency, providing public services and increasing opportunities for citizens to participate in democratic institutions and processes. In the National IT Framework study by BAPPENAS, one of the pillars that need to be formed is the Electronic Government (E-Government) for Good Governance to accelerate the good, efficient, and effective form of governance. In the process of implementing E-Government, Indonesia still faces obstacles. Malang City with the increasing of peoples it is necessary for the government to improve the performance of its government. One of the ways is by establishing a Public Service information system. Therefore, in this case, we created the Malang City Public Service Information System Based on the WEB. The development of this system is implemented by pair programming ie. observing the collaboration of each team element. The results of this development is WEB-based Malang City Public Service Information System which consists of several public services. The system is managed online and dynamically. With this system, it is expected to be able to help the process of public services in Malang.
ANALYSIS OF TEXT DETECTION,EXTRACTIONAND RECOGNITION FROM COMPLEX DEGRADEDIMAGES AND VIDEOS

In the image, processing, and filtering are playing an important role. For the living organism, pictures areoften regenerated after the removal of noise from the complex degraded image. Image qualities are often degraded bytwo factors mainly by the environment effect and transmission medium. The most motivation of this paper is toreview different techniques of algorithms that make a picture free from the noise and increase the equality enhancementof the complex degraded image. Complex degraded image is a picture that's suffering from differing types of unwantedsignal like impulse noise, Brownian Noise (Fractal Noise) Rayleigh Noise, Gamma Noise, and Structured Noise. Themain effort of this paper is that the revise of a variety of text extraction techniques and de-noising the complex degradedimage. Different sort of filter is employed to get rid of noise from a posh degraded image. the most motivation of thepaper is that the latest application of the automated text extraction process followed by text recognition is receivinghuge demand.
Deteksi Tepi pada Citra Rontgen Penyakit COVID-19 Menggunakan Metode Sobel

Background: Coronavirus Disease 2019 (COVID-19) discovered at the end of 2019 occasioned by coronavirus 2 (SARS-CoV-2) causing severe acute respiratory syndrome and expanded globally so that World Health Organization (WHO) declare a global pandemic. There was a delay of socialization and delivering information to society about this disease. The doctors did a method to detect COVID-19 by reading the correct X-ray images of patients who affected by a coronavirus.Methods: With advances in the field of computers in the application of image processing techniques method of this research use application to get better digital image results for COVID-19 X-ray images, so make it easier to analyze the X-ray images. There are 13 samples of X-ray images that are processed through the clean the stage with high-pass filtering, then segmented with thresholding technique in the lung area, then the edge detection method is used to mark the area that makes the image detail.Results: The result of this detection form the pattern of objects and regions of the spread of coronavirus, then there is a limit on the image looks clear enough, with the Sobel method producing white pixels that are so visible as well.Conclusions: This study to make a simulation of x-ray thorax COVID-19 and know the region of virus infection using Sobel method with thresholding technique that can see the spread of coronavirus and shown that edge detection use Sobel method as one of diagnosing for COVID-19 disease.