Reviewerly/exHarmony huggingface dataset:
Home Environment Simulation and Interior Design Based on Neural Network

As contemporary people’s pursuit of spiritual quality becomes more and more personalized, the traditional two-dimensional design concept cannot meet the needs of modern people. Based on the neural network, this study combined intelligent simulation technology to simulate the home environment and carried out the corresponding interior design. The system simulated indoor and outdoor scenes by combining smart home and virtual reality technology. At the same time, this paper focused on simulating the demonstration control of indoor home functions and analyzed them according to the actual design situation. The research shows that the proposed algorithm has certain effects and can provide theoretical reference for related research.
The Data Platform for Large-Scale Video Surveillance Systems

The video data in large-scale video surveillance systems are rapidly growing with the massive deployment of video cameras. The video description data also has an explosion in the data volume with the development of effective video analysis techniques. To manage video data, image data and video description data more efficiently, it requires a heterogeneous data environment to meet various requirements. In this study, we propose a data platform that achieves high available and multi-dimensional information access. It provides isolated and efficient data access services through index fragmentation, index balancing and dynamic capacity increase, which enables the near real-time data storage and retrieval in large-scale video surveillance systems.
Position estimation for underwater vehicles using unscented Kalman filter with Gaussian process prediction

The present paper explores the use of Gaussian processunscented Kalman filter (GP-UKF) algorithm for position estimation of underwater vehicles. GP-UKF has a number of advantages over parametric unscented Kalman filters (UKFs) and Bayesian filters, such as improved tracking quality and graceful degradation with the increase of model uncertainty. The advantage of Gaussian process (GP) over parametric models is that GP considers noise and uncertainty in model identification. These qualities are highly desired for underwater vehicles as the number and quality of sensors available for position estimation are limited. The application of non-parametric models on navigation for underwater vehicles can lead to faster deployment of the platform, reduced costs and better performance than parametric methodologies. In the present study, a REMUS 100 parametric model was employed for the generation of data and internal model in the calculation to compare the performance of an ideal UKF against GP-UKF for position estimation. GP-UKF demonstrated better performance and robustness in the estimation of vehicle position and state correction compared to the ideal UKF.
Simulation of Radiation Calculation of Black Body by Using the Interpolation Method

Simulation of radiation calculation of black body by using the interpolation method is designed to facilitate the determination of radiation in black matter efficiency. Fortran programming languages are chosen for computational processes. The calculation program that has been designed is able to calculate the efficiency of black body radiation easily and quickly with a fairly small error rate of 0.5\%. The light radiation spectrum of objects is around 1000, 1100, 1200, and 1300 $^{\circ}$C. The $x$ axis shows the wavelength, while the $y$ axis shows the intensity or strength of light. If we pay attention to the curvature of 1000 $^{\circ}$C, along with the increasing frequency of light, the intensity of light is also getting stronger aka more bright. But at certain light frequencies, the line reaches the peak, and after that the light intensity drops dramatically. At temperatures of 1200 $^{\circ}$C and 1300 $^{\circ}$C, even though the temperature rises, the outline of the line graph is similar to the line 1000 $^{\circ}$C. This is in accordance with the existing theoretical and experimental results.
Using WhatsApp Discussion Groups in Learning at Higher Education Institutions: The Experience with Level 1 University of Rwanda Medical Students in Anatomy

Background : The e-learning practice is an interesting alternative to  traditional teaching approach and its use is expanding as the development of ICT in diverse activities is growing. The WhatsApp, as popular way of communication may also be a good tool for learning. Our study intended to demonstrate that WhatsApp can be an efficient tool in learning at Higher Education Institutions. Methods : During the revision period of modules taught in second trimester 2017-2018, a WhatsApp Discussion group was initiated to allow students’ access to their lecturer for clarification of some topics of Gross Anatomy 1 module and share academic information. Messages were recovered and analyzed. Results : 312 messages were exchanged during 2 days of online discussion through WhatsApp discussion group. Among those messages, 31.1% were about 1 out of 14 topics of the module of Gross Anatomy 1. This topic (spinal cord anatomy) being the most complex, the prominence of exchanged messages on that topic showed that those students’ chats were meaningful. Conclusion : Our study showed that the online availability of the anatomy lecturer stimulates the online exchanges, and provides a fast opportunity for coordination of the whole class and an easy way of sharing illustrative diagrams related to the topic. To be more efficient we suggest the following simple rules for the WhatsApp Learning Discussion Community : 1. Topics of discussion to be determined, 2. Online time of lecturer must be known by students, 3. Students to be focused on complex topics, 4. Messages to be concise and specific, 5. Online presence of the community to be short to avoid addiction. _______________________________________________________________________ Key words : WhatsApp, e-learning, anatomy, University of Rwanda,  alternative learning tool
A Receiver Carrier Tracking Loop Design for Weak Signals in High Dynamics

Carrier tracking is a key technology in the missile-borne data link communication receiver. It is very difficult to keep the receiver with good sensitivity in a large dynamic environment. Aiming at the short communication time, low signal-to-noise ratio and large dynamic communication environment of missile-borne data link, in this paper, we propose a feedforward carrier fine tracking algorithm based on Doppler shift dynamic search, which solves the problem of weak signal tracking under high dynamics. Simulation and implementation tests show that the proposed algorithm can work when the symbol signal-to-noise ratio is as low as 3dB under the condition of frequency shift change rate of ±6kHz/s.
Research on Software Project Schedule Based on Critical Chain

Based on the problems and causes of the system analysis software project schedule, the idea of introducing critical chain technology into the software project schedule is proposed. This paper expounds the basic concept of the critical chain schedule of the software project, describes its core idea in detail, and constructs the critical chain schedule model of the software project. Then the objectives and construction principles of the software project critical chain schedule model are analyzed, and the implementation process is explained. Finally, the feasibility of the software project critical chain schedule is verified by examples.
The Application of Flipped Classroom Model in College Public English Network Multimedia Teaching

With the help of this software, the students have aroused the inner motivation of their own learning, and the enthusiasm of learning has been aroused by the use of cloud classes. I find English courses more and more interesting. With the rapid development of the mobile internet era, the current teaching model has become diversified, and the rate of use of mobile phones has also been increasing. In class, teachers often play a game of cat and mouse with students. How to connect mobile phones with classroom teaching and turn mobile phones into a powerful learning tool? Cloud class, a teaching mode of flipped classroom, gives us a new inspiration.
Design and Construction of Unification Coal Mine Safety Control-Management Model

Considering that the current problems of vertical multistage supervision mode in coal mines, such as repeated construction, multistage data repeated uploading caused by the waste of resources, uneven level of information management, a new technology that combines hierarchical internet of things, powerful data processing capabilities of cloud computing, and modern coal mine management technologies was proposed. The project study on the internet of things as a technical means of coal mine subsystems, the model of practical and reasonable coal mine safety supervision was designed. With cloud computing as a technical means of data processing, integration, storage and calculation method of multi-source heterogeneous information in a coal mine were studied. It can focus on analysis and treatment real-time monitoring data of coal mine at all levels, and provide fast and accurate information security monitoring platform for high-level decision-making, that effectively solved the coal mine safety production and major disaster prevention problems, the better exploratory study mode and system architecture for our country operation and management of coal mine safety are put forward.
Meta-pragmatic awareness and agency in language learners’ constructions of politeness

The L2 speaker is able to function in the target culture only when s/he is able to understand, anticipate and produce the choices that the said society makes. Being polite therefore means: knowing how to draw on the conventions of a society, taking into account the expectations of　an interlocutor regarding social relations at any given point, and is based on the appropriate language register　to the communication situation; being able to balance standard and non-standard features and to adjust one’s speech by moving it towards more or less familiarity, or formality. The learner therefore needs to be aware of the pragmatic flexibility of speakers – native and experts – who move from one register to another and juggle between respect and caution, first degree meaning and irony, exuberance and excess, with difference in levels, nature and degrees of politeness.
Motion Prediction Using Depth Information of Human Arm Based on Alexnet

The development of convolutional neural networks(CNN) has provided a new tool to make classification and prediction of human's body motion. This project tends to predict the drop point of a ball thrown out by experimenters by classifying the motion of their body in the process of throwing. Kinect sensor v2 is used to record depth maps and the drop points are recorded by a square infrared induction module. Firstly, convolutional neural networks are made use of to put the data obtained from depth maps in and get the prediction of drop point according to experimenters' motion. Secondly, huge amount of data is used to train the networks of different structure, and a network structure that could provide high enough accuracy for drop point prediction is established. The network model and parameters are modified to improve the accuracy of the prediction algorithm. Finally, the experimental data is divided into a training group and a test group. The prediction results of test group reflect that the prediction algorithm effectively improves the accuracy of human motion perception.
THE ROLE OF MULTILINGUALISM IN INFLUENCING STUDENTS’ ENGLISH LANGUAGE ACQUISITION IN AN OUTSKIRT MALAYSIAN PRIMARY SCHOOL

Malaysia, as a multilingual country, sets a platform for language learning. Bahasa Malaysia is a language for national unity and English is the second language and other languages as the third language. A child may speak a native language at home, speak the local national language at school and also learn at least a foreign language. The fluency of our second or third language may not be as fluent as the first language. As a result, many studies have been conducted about the learners’ mother tongue and the code-switching process. However, a study for the English teachers to overcome the influence of the mother tongue in the Iban community towards their spoken English has not been located. Therefore, a qualitative case study has been conducted in order to provide the description of case-related individuals’ and give deeper understanding of the 1) multilingual learners’ perceptions toward their English spoken language, 2) exploring multilingual influences in their spoken English and 3) To examine the influence of other languages (Bahasa Malaysia and Iban language) towards English. The participants identified are Ibans from Year 3 primary students; that is located at the outskirt primary school in Kanowit in which they are learning standard Iban language, Bahasa Malaysia and English language at school. Data were collected via semi-structured interviews, and field notes (i.e. classroom observation). The findings were structured into themes: the frequency in communicating the three languages among the three pupils at school in a day, home language support in learning, peers’ influence in communicating the English language, learners’ effort towards learning English and the mental process in learning the language.
Key Points of Computational Neuroscience in Circulation Service Innovation of University Library

This article researched the main points of innovation of circulation service of university library. RFID technology was applied to a university library and a “simplified” self-service system based on RFID circulation service system was designed to compare the whole difference before and after this design. By calculating the genetic algorithm in neuroscience, the volume of circulation of this library was predicted. Through the circulation data, the designed method had applicability, which improved the self-help ability of reader and the satisfaction rate of reader. Meanwhile, the prediction data was reliable, which provided the basis for the scientific management of library circulation service.
Information in the Knowledge Management System

The definition of «information» is one of the most controversial in science. The paper discusses various definitions and terms used in information theory. Based on the analysis of terminological material, a mental model was prepared showing the place and value of information in the knowledge management system.
Reduction of Search Space in Restful Service Discovery

Web Services has been enabled IT services and computing technology to perform business services more efficiently and effectively. REpresentational State Transfer (REST) is to be used for creating Web APIs/services. In the existing system, web service search engines for RESTful Web Services/Api’s provide Keyword, Tag and Semantic based search functions. One of the RESTful service discovery, referred as Test-oriented RESTful service discovery with Semantic Interface Compatibility (TASSIC) have been developed by the search of RESTful Service’s/Api’s. TASSIC approach will search the semantic characteristics of search and match interface terms in the service document. An inability to consider the classification and in finding the suitable Api’s or services are a key issue of the search space in Tassic. A new approach has proposed for reduction of the search space in restful service discovery to develop a k-Nearest Neighbor classification algorithm. it provide candidate services with ranking based on semantic similarity, and classifying of similar candidate services and service unit testing will be considered. This approach is meant for increasing search precision in the retrieval and quick search for classifying their RESTful services or Api according to user-defined criteria.
Seems to me that your home page ...

Seems to me that your home page is great as a professional About page. Just add some #indieweb markup like an h-card. You have a
LibGuides: English Language Learning: Websites

This guide is for the NCU specialization English Language Learning. It contains resources available in the NCU Library.
Dataset for "3D Printed Contactor for Enhanced Oil Droplets Coalescence"

This dataset includes all the original data for this project including the design of the 3D contractors, detailed methodology of preparation and characterisation results, raw data of filtration tests.
Preventing Credit Card Fraud Using Dual Layer Security

The rise and growth of the E-commerce is obtaining high, thus thanks to that the employment of the credit and revolving credit conjointly been up and still keep growth in day by day and together the dishonest cases caused an explosion within the master card transactions. Because the master card obtaining the foremost in style factor concertedly that impact of this master card fraud being with all of that users. That master card fraud cases makes plenty of losses to the banks and a customers, thus currently the stage of this master card fraud cases is would really like no body cannot offer the protection or answer to the present downside. From the sooner stage there are many varieties of techniques and theories to offer to provide to present to administrator to allow to convey to relinquish the concepts to unravel this downside however nobody will give the answer to the present fraud cases. A transparent understanding on all this approaches will definitely result in economical master card fraud detection system. In this paper, we just take the step to prevent the credit card transactions, by getting the IP addresses from the first time user and sending OTP to the frequent user by Time Based OTP algorithm.
THE EFFECT OF WORD BOX GAME ON THE EIGHTH GRADE STUDENTS’ VOCABULARY MASTERY

Vocabulary is first thing to do and one micro skill that must be raise to help the students mastering four language skills. If the students have a lack of vocabulary, they will find some difficulties in expressing ideas in oral or written. In addition, if the students have less vocabulary, they also cannot access the information or knowledge. Moreover, without the words the students cannot really understand facts or ideas that the students have met. Therefore, the students should have to obtain vocabulary mastery to communicate effectively or express his ideas in both oral and written form and also used as basic foundation to construct a word into a good sequence of sentence. Due to the statement, this study is aimed to find out the effect of word box game on the eighth grade students’ vocabulary mastery at Mts Mathla’ul Anwar. The research method is using quasi experimental design and analyze the data by using statitistical hypothesis. Based on the data analysis, it was found that the data was normally distributed and homogeneous. Then, the researchers used t-test formula to analyze the hypotheses. From hypothesis test using t-test, obtained tcount was smaller than ttable or 1.54 &lt; 1.67 on pre-test and on post-test that tcount was higher than ttable or 8.92 &gt; 1.67 with the degree of significant α = 0.05 and df = 35 + 35 - 2 = 68. Thus, it can be concluded that there is difference of students’ vocabulary mastery between using word box game and without word box game in experiment and control class.
A caracterização do crime de uso indevido de informação privilegiada à luz da Lei nº 13.506/2017

This monograph analyzes the changes introduced by Law no. 13.506/2017 to the crime ofmisuse of privileged information, provided for in article 27-D of Law no. 6.385/1976.Objective: To analyze the elements and classifications of crime of misuse of privilegedinformation in light of Law no. 13.506/2017. Method: Regarding the approach, it is a qualitativemethod; as for the level of research, the exploratory modality, since it aims to provide a broadunderstanding about the object of study; as to the data collection procedure, the bibliographicresearch was applied, using doctrines, scientific articles, jurisprudence and Brazilianlegislation. RESULTS: Regarding the requirements, it was verified that there is a need forinsider information not disclosed to the market; access to inside information; the subjectiveelement. In relation to classification it is a formal crime, since the practice does not require theproduction of the naturalistic result; crime, since it does not require a special quality of thesubject; crime, in the face of the absence of prediction in the guilty modality; the guaranty ofthe legal right is investor confidence in the capital market; the criminal action is unconditionalpublic and the jurisdiction to prosecute and prosecute the crime is of the Federal Justice.
How to Clean Up Your Online Persona

In this chapter, we’re going to discuss what you need to do to make sure that your Internet presence doesn’t keep you from getting an interview. While the Internet can definitely help accelerate the process of getting a job and establishing credibility, it also has a downside. Many of us grew up with at least some presence on the Internet during our “less prudent” years. The younger you were when the Internet became commonplace, the more likely it is that you have said or done something foolish that is forever recorded there.
Application of Intelligent Video Analysis in Financial Security

With the development of economy, the financial industry develops rapidly. The rapid increase in business in the financial sector, particularly in the banking sector, has put a lot of pressure on security, with many criminals targeting the opportunity to commit criminal acts such as bank robberies. How to strengthen the security power of the financial industry through the power of science and technology has become an important topic.
Upbit with Parallelized Merge

Bitmap indexes use bit arrays or bit vectors and answer queries by performing bitwise logical operations on these bitmaps, which speed-up query processing. In order to min-imize storage space, bitmap indexes are stored in compressed form. Consequently, to perform insert operation, each one of the bitmaps needs to be updated to reflect a new row, which can be prohibitively costly. With regard to this bottleneck, researchers have come up with models like Update Conscious Bitmaps(UCB) [3], which uses Word Aligned Hybrid Encoding(WAH) [3]. UCB brings the concept of Existence Bitvector, which comes with a high probability of becoming uncompressible. Also it requires a lot of pointer maintenance for the updated rows. To overcome the above issues [2] introduces Upbit, which uses Update vectors for each bit vector. This makes updation easy as compared to the delete followed by insert technique used in UCB. It also increases the compressiblity of the bit vector becoming un-compressible by regularly merging the value and update bit vectors. But whenever this merging is done, that particular query is delayed. We propose to parallelize the task of merging value bit vectors and corresponding update bit vectors.
Research on Vision Navigation Technology of Porter Based on Improved Simulated Annealing Algorithms

Aiming at the problem that the traditional path planning method of porter is easy to fall into local optimum solution and lacks general adaptability to the environment, a working environment model of porter is created by using the grid method. Based on an improved greedy algorithm for establishing a search tabu table, the simulated annealing coefficient and the grid coefficient are redefined by adding the idea of “survival of the fittest” in the genetic algorithm. An improved simulated annealing algorithm is proposed to solve the local convergence problem of greedy algorithm. Finally, the feasibility and adaptability of the algorithm to different environments are verified by simulation and practical experiments, which can effectively improve the quality of transportation vehicle path planning.