Reviewerly/exHarmony huggingface dataset:
College English Teaching and Testing Based on Data Mining

With the emergence of “Internet+”, all walks of life have undergone tremendous changes. “Internet + education” has become a trend of development, which brings new opportunities and challenges for College English teaching and learning. Through the online English learning platform for teaching and learning, using data mining technology to analyze students’ learning data and establish relevant models, to explore the correlation between English examination and various elements, has important value for students’ learning and teachers’ teaching. The author has made a thorough study on it. Firstly, this paper introduces the theoretical basis of the research, introduces the function, process of data mining and the commonly used machine learning model. Finally, through the data generated by the College English Teaching and Assessment System for undergraduates in a university, the portrait and analysis of the students are constructed [1, 2].
Eponyms from Mustafa: A Morphosemantic Analysis

Mustafa is the personal name of the Holy Prophet Hazrat Muhammad (SAW). This name has religious sanctity for the Muslims all over the world. The Muslims feel elated in showing their affiliations with this name by using eponyms derived from it. An eponym is actually a name derived from some personal name of a person, place or mythical character. The name derived from the personal name of a person is called anthroponymic eponym. The name Mustafa is highly productive anthroponym in the sense that it presents its various eponymic formations which the present research aims to explore through the application of Distributed Morphology (DM). DM is a new and emerging theoretical framework which helps to find lexical meanings through syntactic and morphological operations. We find few of its applications on morphology and semantics in general but there us rare one is on religious names and particularly on Mustafa. The research discovers the productivity and richness of the particular name showing that Islamic names are highly productive morphologically as well as semantically.
Cascade CNN Framework for Low Resolution Image Classification

Low resolution images contain less visual information, so classifications of these images are difficult. For overcoming this problem, cascade CNN framework for low resolution image classification is proposed. In this framework, super resolution CNN (SRCNN) enlarges low resolution image into super resolution image. The convolutional features of these super resolution images are fused with low resolution convolutional features which are extracted by low resolution CNN (LRCNN) feature extractor. A deep neural network classifier is trained on these fused CNN features. This classifier classifies low resolution images using learned fused features. Proposed cascade framework has been evaluated on different benchmark image dataset MNIST, CIFAR10 and achieves competitive accuracy results. Keywords: Low resolution, cascade CNN, super resolution, feature fusion, image classification Cite this Article: Suresh Prasad Kannojia, Gaurav Jaiswal. Cascade CNN Framework for Low Resolution Image Classification. Journal of Artificial Intelligence Research &amp; Advances. 2019; 6(1): 39–43p.
Objective method with deep learning to calibrate the spatial color resolution of a color charge-coupled device

An objective method to calibrate the spatial color resolution (SCR) of a color charge-coupled device (CCD) is provided. The experimental prototype contains a target generation system, a test platform, and an analytical processing system. The target generation system creates colors with an adjustable light source and two complementary resolution panels (each one has target bars). The test platform aims at creating images through adjusting parameters of a light source of the target generation system. And the analytical processing system is used to process images to evaluate the SCR of a color CCD. We focus on the third module and utilize the minimum detectable color difference (MDCD) and the minimum resolvable color difference (MRCD) to evaluate the SCR. In the process of data collecting, we first set the two channels (one is foreground channel and the other is background channel) of a generation system the same color and then gradually change wavelength of the foreground channel until the foreground image is slightly visible. As it is difficult to let the ratio of detectable pixels of target bars just meet the requirements of the MDCD and the MRCD by only adjusting the wavelength, we adopt the general regression neural network to estimate the two indicators and the maximum estimation error of which are within 6%. In order to deal with more complex scenarios with brightness and saturation change, an image augmentation network (a modified generative adversarial network) is applied to generate synthetic images, which cannot be easily captured by our prototype due to limits of the light source. The experimental results show that the estimation error of MDCD and MRCD is decreased to almost 1%. The method is a human-eye independent way and performs well in selecting the right kind of a color CCD, which guarantees the reliability and security of the visual detection and recognition system.
Automated method of hyper-hyponymic verbal pairs extraction from dictionary definitions based on syntax analysis and word embeddings

This study is dedicated to the development of methods of computer-aided hyper-hyponymic verbal pairs extraction. The method’s foundation is that in a dictionary article the defined verb is commonly a hyponym and its definition is formulated through a hypernym in the infinitive. The first method extracted all infinitives having dependents. The second method also demanded an extracted infinitive to be the root of the syntax tree. The first method allowed the extraction of almost twice as many hypernyms; whereas the second method provided higher precision. The results were post-processed with word embeddings, which allowed an improved precision without a crucial drop in the number of extracted hypernyms.
Text mining to segregate criminal activities profiles in microblogs (Review Paper).

The internet is a crucial source of information for almost everything. There was a time when people on the internet were into two categories, namely producer and consumer. The producer is the one who generates data, and the consumer is the one who uses data. Due to microblogs and social networks, every person on the internet becomes the producer and consumer. It leads to an increase in cybercrimes. There are many techniques to detect and predict cyber criminals profiles, But none of them proved successful. In this paper, we are going to introduce, Text mining approach based on hashtags to segregate criminal activities patterns that help us to detect cyber criminal’s profiles in advance. It can lead to a reduction in cybercrimes. Microblogs have a restriction to 140 characters; It becomes difficult to express the views for the producer of content. Nowadays, people have started voicing their opinions on other websites and directly sharing the link of that website on microblogs. In this paper, We are also going to analyse the contents of websites posted on microblogs, which will increase in accuracy of profile segregation.
Factors Affecting Nursing Students’ Learning

High learning motivation is influenced by some factors from intrinsic factor (in self) and extrinsic factor. This study aims to describe the intrinsic factors and extrinsic factors in learning motivation. This is a descriptive design study with quota random sampling. 90 respondents were involved in this study. Results of intrinsic factors measured by interest in the field of knowledge studied: 47.8% of respondents collect tasks given in accordance with the time set, and 41.1% of respondents diligently follow the lecture. The results of the study of extrinsic factors are measured by the quality of lecturers who teach: 51.1% of lecturers often provide questions clearly and briefly. Based on the method of lecturing: simulation methods in the laboratory often increase the motivation to learn. Based on the lecture’s room: 57.8% stated that a clean lecture’s room can improve the concentration of learning. Based on the complete book in the library: 47.8% encourage respondents to do the task quickly. Based on the learning facilities: 47.8% are always motivated to learn if the lecturer uses LCD. Support of parents (76.7%) in meeting the needs of respondents in learning.The management of nursing education is suggested to motivate students during lectures based on intrinsic factors and extrinsic factors. Keywords : learning motivation, affecting factor, nursing student
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN SEPEDA MOTOR DENGAN METODE SIMPLE ADDITIVE WEIGHTING BERBASIS WEB

At Indonesia, there are many kinds of motorcycle producer and each of them have very own strengths and uniqueness in term of design, type, to the cylinder capacity. But variety of the motorcycle product makes the consumer having trouble to choose the suitable one for them. For this matter, there are needed a decision-making system that can help the user choose the suitable motorcycle and even provide for the alternative. For this decision-making system, Simple Additive Weighting method was chosen because this method places a weight on each criteria and filter them out until reach best choice and capable to provide the alternatives. The design of web-based motorcycle decision making system uses the simple additive weighting method and was developed using PHP as programming language and MySQL as database system.
El blog de aula como recurso didáctico para la mejora de la competencia lingüística en el alumnado : una experiencia con estudiantes de 4º de Educación Primaria

espanolInmersos en la emergente Sociedad de la Informacion y la Comunicacion, la institucion educativa esta dejando un espacio a la insercion de estas herramientas digitales que requieren un cambio en el modelo de ensenanza haciendo uso de nuevos soportes de informacion y gestion del conocimiento. Por ello, la experiencia que se relata en las siguientes lineas, llevada a cabo en un centro educativo con alumnos pertenecientes al curso de 4o de Educacion Primaria, tiene como finalidad principal conocer las distintas potencialidades didacticas que ofrece el blog en el contexto de aula. Finalmente, se comprobo que los estudiantes mantenian una actitud positiva hacia el uso de portatiles y el blog de aula para la realizacion de las microtareas que conformaban el proyecto. EnglishImmersed in the emerging information and communication society, the educational institution is leaving room for the inclusion of these digital tools which require a change in the teaching model as the use of new information and knowledge management supports are needed. Thus, the experience recounted in the following lines, which was carried out in an educational centre with 4th grade students of primary level, has the main purpose of knowing the different didactic potentialities offered by the blog in the classroom context. Finally, it was found that the students showed a positive attitude towards the use of laptops and the classroom blog for the undertaking of micro-tasks which were part of the project.
Application of Natural Language Processing in EnhancingEducation

Natural Language Processing (NLP) is a fascinating methodology for getting improvededucational setting. Actualizing NLP includes starting the way toward learning through the regular acquisition inthe educational modelling. It depends on successful methodologies for giving an answer for different issues intraining. Conventional Processing gives arrangement in a wide range of fields related with the social and socialsetting of language learning. It is a successful methodology for instructors, students, writers and teachers forgiving help to composing, analysis, and appraisal techniques. Natural language Processing is broadly incorporatedwith the enormous number of educational institutions, for example, inquire about technology, phonetics, elearning, assessments modelling, and contributes coming about positive results in other educational institutions,for example, schools, advanced education institutes, and colleges. The paper plans to address the procedure ofcommon language learning and its suggestion in the educational institutions. The research methodology likewisefeatures how NLP can be used with logical PC projects to improve the procedure of training. The researchmethodology pursues subjective methodology. Information is gathered from the auxiliary assets so as to recognizeissues looked by the instructors and students for understanding the setting because of impediments of language.Results give viability of conventional apparatuses, for example, language structure, sentence structure, and printeddesigns that are genuinely beneficial in educational setting for learning and evaluation.
Obstacle Avoidance Techniques for Robot Path Planning

This paper presents a collision-free path planning approaches based on Bézier curve and A-star algorithm for robot manipulator system. The main problem of this work is to finding a feasible collision path planning from initial point to final point to transport the robot arm from the preliminary to the very last within the presence of obstacles, a sequence of joint angles alongside the path have to be determined. To solve this problem several algorithms have been presented among which it can be mention such as Bug algorithms, A-Star algorithms, potential field algorithms, Bézier curve algorithm and intelligent algorithms. In this paper obstacle avoidance algorithms were proposed Bézier and A-Star algorithms, through theoretical studies and simulations with several different cases, it's found verify the effectiveness of the methods suggested. It's founded the Bézier algorithm is smoothing accurate, and effective as compare with the A-star algorithm, but A-star is near to shortest and optimal path to free collision avoidance. The time taken and the elapsed time to traverse from its starting position and to reach the goal are recorded the tabulated results show that the elapsed time with different cases to traverse from the start location to destination using A-star Algorithm is much less as compared to the time taken by the robot using Bézier Algorithm to trace the same path. The robot used was the Lab-Volt of 5DOF Servo Robot System Model 5250 (RoboCIM5250)
Plagiarism detection using Manber and Winnowing Algorithm

Plagiarism is a copy of the essay or opinion of others and does not list the written references, and makes it his own essay or opinion. There are several algorithms that have the ability to detect plagiarism of documents such as Jaro-Winkler algorithm, winnowing, Manber and others. In this study, research conducted on Mamber and Winnowing algorithms in detecting plagiarism. The Manber algorithm is an algorithm that uses K-grams but does not use the formation of a window while the winnowing algorithm is an algorithm that uses the K-grams approach in shaping the fingerprint pool. The app divides the documents into Biword and Triword tokens. These tokens are converted to MD5 value, the tokens have a hash value that has the same length and can be used as a document fingerprint. The Biword and Triword approaches are implanted in the winnowing algorithm, while the Biword is for Manber algorithms. This algorithm can check the phrase of each document, then saved in to an array. At the time of displaying the document will be obtained the same value long, the algorithm is able to display the value of arrays that form a Biword token as a fingerprint. From the results of the similirity of the 10 test data, the average result for manber algorithm is 90.56%, the Winnowing algorithm is 94% and the Winnowing triword 91.22% algorithm. The average time of generating winnowing triword data is 78.95 seconds and is 5.2% slower than the winnowing biword of 73.75 seconds.
Controlling External Devices by Using Speech and Simple Eye Movements

In Vietnam, the number of people with limb defects or diseases that affect the ability of limbs is increasing [1]. They were reduced or incapable of living, unable to walk, to run, and utilities around them became useless. Therefore, it is imperative to build a patient support system in controlling external devices. Recognizing the problem, the author has studied, researched, and built a wheelchair control system based on speech recognition and eye movement. In this study, the eye movement system is at the simple level: glance left and right. The system uses an image processing method to locate the pupil. The external device for testing is a car model that control by Arduino connected via Bluetooth. Experimental evaluation results show that the eye movement system achieves high accuracy of over 70%. However, the eye movement system by image processing takes a lot of time to process for a command. All of the above shows the feasibility of developing an external control device for people with disabilities.
REGULATING THE CYBERSECURITY OF INSURANCE COMPANIES IN THE UNITED STATES

While cybersecurity has been an important issue for all business sectors due to the rapid development of and reliance on technology and the increasing sophistication of unlawful actors, it is particularly significant for insurance companies because of the nature of the industry. The internet makes it possible to collect and store massive amounts of data, and this in turn requires the utmost confidence of consumers in the companies collecting this data. The growing concern for cyber risks has compelled insurance regulators to devise and implement frameworks and rules for insurance companies to follow. In the United States, insurance regulation is controlled by the states. Invariably, the enthusiasm and speed of responses have been mixed. New York has implemented the Cybersecurity Requirements for Financial Services Companies, while South Carolina, Ohio, Michigan, and Mississippi have passed laws based on the Insurance Data Security Model Law published by the National Association of Insurance Commissioners (NAIC), a non-governmental entity created and composed of insurance commissioners of each state and territory. The specific provisions within these regulations differ, which creates inconsistencies throughout the United States. As more states adopt cyberspace policies regulating the insurance industry, the divergence could worsen. This paper examines the NAIC Model Law and regulations in various states, as well as advocates for a uniform standard across the United States based on the New York regulations due to its robust nature.
PolEmo 1.0 + MultiEmo-Test 1.0 Multilingual Sentiment Analysis Dataset for KES2020

PolEmo 1.0 + MultiEmo-Test 1.0: Corpus of Multi-Domain Consumer Reviews. Test dataset from PolEmo 1.0 was translated to eight different languages: Dutch, English, French, German, Italian, Portuguese, Russian and Spanish.
Communication With Editor

Changes in land use are so fast, has changed the pattern of surface drainage (run-off) in the river sub-system area in urban areas. The problem of stormwater is influenced by several factors, such as occupational problems of riverbanks, improper swamps, river tidal influences, which affect the capacity of river sub-systems in the region[1]. This study will discuss the spatial issues in surface water flow systems in urban spatial planning by emphasizing the integration of run-off and land allocation management. The method used in this study is to conduct spatial analysis using all Run-off parameters in the database structure by utilizing the Land Allocation Management Information System (SIMAL) interface built to test the magnitude of flood peaks using the Nakayasu HSS method, with a case study of the Jakabaring river subsystem , in the city of Palembang. The results obtained were able to see the conversion of swampland, which was utilized for the Palembang Sports City Region in the face of the 2018 Asian Games in Palembang City, has caused flooding in the Kedukan river region, part of the Jakabaring watershed, Seberang Ulu area, Palembang City, Indonesia. Based on the analysis using the Nakayasu unit hydrograph model, the occurrence of peak flooding will occur when rainfall reaches more than 120 mm / hour which causes the low river discharge to reach up to 400m3/sec. Making artificial lakes as a retention pool and at the same time as a sports venue has not been able to reduce the height of the inundation that occurs around 0.6 - 1.2 m above sea level.
AN EFFICIENT DIGITAL SIGNATURE CONNECTING CONJUGACY AND DLP WITH HASHFUNCTION

In current paper, we plan an advanced algorithm of digital signature using conjugacy structure together withdiscrete logarithm inter linked non abelian group structure of field combining hash function. Here we constructa non abelian group of matrices with the elements of finite fields as F*q (x) = GLn (Fq), so that conjugacystructure together with discrete logarithm can be executed effectively including hash function. Here we defineand construct the signature algorithm by connecting conjugacy, discrete logarithm problem with hash function.In hash function the above combination reduces completely in to discrete logarithm problem. Here theprotection of the signature scheme depending on hardness of the issues combined with discrete logarithm andconjugacy problem in matrix structure through hash function. The security check and rest of suggestedprocedure of digital signature is dispensed by aid of order and space complexity, time complexity, key onlyattack, existential forgery, signature repudiation, and selective forgery.
INTERPRETASI KONDISIAIR BAWAH TANAH STUDI KASUS DI KECAMATAN TENAYAN RAYA KOTA PEKANBARU DENGAN MENGGUNAKAN METODE PUMPING TEST

The purpose of the research on the potential of underground water in ring wells in the District of Tenayan Raya Pekanbaru City using the experimental method of pumping test is to determine the potential of underground water, and determine the value of transmissivity so that it can be known the feasibility of well water for surrounding communities. Data was taken on 30 ring wells in Tenayan Raya District, Pekanbaru City. The results obtained are wells that have the lowest potential for underground water in Kadiran Street, Kulim Village with a value of drawdown is 2.1610 m. Wherea the highest potential as good underground water is in the well at Gunung Kidul Street, Tangkerang Timur Village with value of drawdown is 2.0407 m. This ring well has the potential of underground water which is likely to provide water for a long time. The transmissivity obtained from the 30 ring wells is 10.7684 m2 / day. This value shows good groundwater quality and has the potential to meet the needs of residential areas.