Reviewerly/exHarmony huggingface dataset:
Deteksi Objek Berwarna Merah Secara Real Time Dengan Algoritma Color Filtering

The various knowledge and techniques of digital image processing currently available vary greatly. Research and development has been carried out towards object detection and tracking. Color is one of the parameters used to detect and track objects. Humans can distinguish a color, but a computer may not necessarily recognize that color. Digital image processing techniques that can recognize colors, one of which is color filtering. In this study, Color filtering is a technique of processing digital images based on specific colors, detecting and tracking colors by using a web camera (webcam) and red objects. Object Tracking is the process of following an object that moves and moves position, so that the colored object being tracked will draw in realtime with the results of the colors that can be selected.
Aplikasi Diagnosa Granulomatous Dermatis Menggunakan Certainty Factor

Granulomatous dermatitis is a type of inflammatory disease in the inner layer of the skin that causes damage to the nerves, skin layers and motor members of the body. This disease originated in the attack of an aerobic type of mycobacterium leprae which can spread and transmit infection by contact and air, besides this disease is estimated to enter Indonesia in the early V century. At present the diagnosis and treatment of Granulomatous Dermatis is experiencing difficulties, this based on the limited information and lack of knowledge of the community about Granulomatous Dermatis so that later it will result in late or unpreparedness of treatment in patients with Granulomatous Dermatis cases. On the basis of these events, it is very necessary to build a system by acquiring scientific concepts of artificial intelligence that are capable of producing an Expert System which can later be used to diagnose Granulomatous Dermatis by applying the Certainty Factor analysis. With the application of this diagnosis later can help the community and medical experts in diagnosing Granulomatous Dermatis as a reference tool in concluding the final diagnosis.
Correction to: Visual analytics for collaborative human-machine confidence in human-centric active learning tasks

In the original publication of this article [1], some labels in the left column are incorrect in Fig. 3. They are revised in the updated figure below:
Extracting Text from Telugu Color Documents by Removing Dither Patterns

Preprocessing is an important step in the development of Optical Character Recognition (OCR) system.Inpreprocessing there are various modules like binarization, skew detection and correction etc.Among these modules this paper discusses about binarization module.Although there are many algorithms for binarization of a document image, there are fewer algorithms for binarization of printed color images because of printed color documents contain dither patterns, normal text, reversed text, colored text overlayed on colored background drawings and graphics appear with millions of different colors.Hence preprocessing for colored documents is a challenging task to work.For printed color documents, elimination of dither patterns using Butterworth band reject filter and text extraction in the color documents by eliminating graphics using height of the component is also presented.Results on a corpus consisting of newspapers published in Telugu show that the proposed method shows promising results.
Variant of the charged system search algorithm for the design of optimal linear phase finite impulse response filters

Digital signal filtering is one of the prime area which is frequently used in practical applications. In the class of digital filters, the prominent filters include – filters with finite impulse response (FIR) and filters with infinite impulse response (IIR). Low pass, high pass, band pass and band stop filters are the different types of filters that are currently employed for carrying out filtering actions. Filters are used for practical applications to reduce the noise incurred while processing the signals received, whether it may be an audio signal, video signal, bio-medical signal and so on. The key features for the design of filters include the optimization of coefficients and in turn the design of coefficients is based on attaining maximum stop band attenuation with less ripple rates. This paper proposes the soft computing based wavelet concept being introduced in the charged system search algorithm at the updation process. The scaling factor in the updation equation is implemented with a wavelet introduced to improve the exploration and exploitation capability of the algorithm. This introduction of wavelet into the algorithm results in faster convergence of the algorithm and proves its effectiveness in comparison with that of the other approaches as available in the literature.
Analysis on Students’ Interrogative Sentence Error at SMA Negeri 2 Samalantan Bengkayang Regency

This study aims at identifying the form of questions used by students of SMA Negeri 2 Samalantan Bengkayang Regency, sees errors done by students and describes students' understanding of English interrogative sentence patterns. The location of the research was conducted at SMA Negeri 2 Samalantan Bengkayang Regency because this school is one of the schools that implement the mandatory system of using English in English subjects. In fulfilling these obligations, students often find difficulty in asking in English. The study of interrogative sentences in the students of SMA Negeri 2 Samalantan Bengkayang Regency is a way to solve the problems of students in making interrogative sentences so that learning English activities become easier and students can ask each other questions with correct questions sentence pattern. The method used in this study is describing students' understanding of the interrogative sentences obtained through a list of questions in the form of translation and interviews to determine the form of errors in making questions. The data obtained is then analyzed to obtain the results of research on the difficulties faced by students in understanding the interrogative sentences. The results of this study show the most dominant error in the sentence Yes/No verbs, then Wh-question noun, Wh-type verb type, and the type of sentence Yes/No question nouns. The interview result shows the answers given by the students are consistent with the written answers.
PENGEMBANGAN MEDIA ULANGAN HARIAN BERBASIS APLIKASI SMARTPHONE

The purpose of daily research media based on smartphone applications is as a solution to optimize the manual daily review system by saving time which is usually used to correct daily tests. At the same time save paper, because it switches to using devices that are not one-time use. So that the application of daily replication applications is expected to be able to improve the quality of education and teaching in the future. The method used in this study is the development or Research and Development (R &amp; D). The product trial subjects consisted of material validators and media validators. In this study, data collection techniques were carried out using a validation sheet. Data analysis in this study is qualitative and quantitative data analysis. In the results of the development of daily media replications based on smartphone applications, the average level of product feasibility of each aspect in terms of material is declared to be feasible at 3.8 and in terms of media is declared feasible at 3.9. So that the daily media review based on smartphone applications deserves to be applied to learning.
Desain Media Pembelajaran Menggunakan Software Adobe Flash Professional CS6 pada Materi Unsur Transisi Periode Keempat

The lack of use of computer technology as a instructional media is a problem that needs to be addressed in the world of education today because in the current era of globalization, the latest technology-based instructional media must be familiar. The purpose of this study is to see how the level of validity and practicality of instructional media designed using Adobe Flash Professional Creative Suite (CS) 6. This research refers to Research and Development with 4-D model (Define, Design, Development, and Dissemination) recommended by Thiagarajan. This research is done until third stage of development in the small-scale test. Data collection techniques used in the form of documentation and questionnaires. The data obtained come from 2 validators (material experts and media experts), 5 chemistry teachers, and 10 students from two high school namely SMA Negeri 8 Pekanbaru and SMA Negeri 1 Pekanbaru. The results showed that the instructional media designed using Adobe Flash Professional Creative Suite 6 software has a validity level by material experts by 90% with very valid criteria and validity level by the media expert of 83% with very valid criteria and the practicality level of teachers by 87% with very practical criteria and 90% practicality of students with very practical criteria.&#x0D; &#x0D; Kata Kunci: The Design and Test, Instructional Media, Adobe Flash Professional CS6, Fourth Transition Material Elements Period
GEO-BIO CHEMISTRY OF WETLANDS IN LATERITE MINES, THE CHILIKA CATCHMENT, ODISHA: GIS STUDY AND XRFSPECTROSCOPY APPRAISAL.

Laterites in Odisha cover ≈7000Km 2 ( 4.5%) surface area of the state.As hard and vesicular, laterite blocks are common local construction materials.The latsol areas are quarried open air and water bodies are formed in those ditches.Fresh water bodies within the mines cover ≈60-70% of the quarry area during rainy season.Those water bodies have poor in flora and fauna and specially aqua habitats.The water quality parameters are of concern in those ferruginous laterite zone.The aquatic life depends on the physical, chemical and biological parameters of water but adequate research has not been done to assess the cause of paucity of aqua habitats in these semi dead zones.Evaluation of toxic chemicals, physical parameters and finally tried to find causes that has made these wetlands as semi dead zones and very poor growth of aqua habitats and consequently the avifauna and floral diversity.These wetlands cannot be used even for economic fish or prawn farming, for recreation and domestic uses except less hygienic bathing.The present search is to identify the causes of unsustainable environments for aquatic life.Assessment of laterite area in the Chilika catchment has been evaluated using supervised classification of multispectral Landsat-8 images.The method found the area to be 744.456Km 2 consideringpHas parameter.The toxic elements, metals, metalloids and REE's were found by using XRF Spectrometer, and BOD/ COD.The concentration of physical, toxic alkali/alkaline earth elements, harmful REE's and radionuclides and biological parameters are sorted out causing the meager flora and fauna.The stagnated water bodies in laterite mines are with overdoses of DO, and Fe and Al contamination.Copy Right, IJAR, 2019,.
Assessment of Extension Agents’ Perception of Mobile Phone Usage for Communication with Farmers in EDO South of EDO State, Nigeria

The use of mobile phones as means o f communication between the extension agents and local farmers in EdoSouth was examined to determine the perception of the extension agents on its effectiveness.Fi ftyone (51) respondents were obtained through random sampling using questionnaires to obtain relevant information in the two local government areas; Ovia North East and Ovia South West selected for the study.The result obtained indicated that male extension agents were in majority (72.5%), 54.9% of the sampled population above 45 years of age and 58.8% possesed 16 -20 years working experience.Phone calls and short message service (SMS) were found appropriate for agricultural information dissemination.Significant and positive relationship were established between the working experience of extension agents and their perception of mobile phone usage.The recommendation is that formal integration of mobile phone into extension activities be done to enhance wider coverage, reduce cost and risks associated with movement.Extension agents and farmers need more training on effective usage of SMS and phone calls for interaction on farm related issues.Enforcement of existing telecommunication laws could reduce network failure and also enhance effective usage.
RECENT ADVANCEMENT TO IMPROVE BALANCE IN STROKE REHABILITATION.

After stroke, a main goal of rehabilitation is promote independent in activity of daily living.An important determinant of activities of daily living performance is standing and balance, which is a strong predictor of functional recovery and walking capacity in post stroke rehabilitation.Purpose of this study was to investigate the effects of different balance Techniques/Approaches on post stroke rehabilitation.Furthermore, the study was aimed to identify which training regimen was most effective.Electronic databases were searched to evaluate the effects of exercise therapy on balance capacity in stroke rehabilitation.63 articles were studied and 42 were selected after inclusion and exclusion criteria strategies.After going through all the articles, it was concluded that both the three approaches (Mental Practice/Mental Imagery MP/MI, Visual Reality VR, and Mirror Therapy MT) were effective, but MP/MI is more effective according to my studies, it was observed that mental imagery is a safe and low-cost technique that can be performed even without supervision once the patient has completed appropriate training.Copy Right, IJAR,
INFLUENCE OF READING ACTIVITIES ON PERFORMANCE IN READING ENGLISH AMONG GRADE ONE PUPILS IN PRIMARY SCHOOLS IN NAIROBI COUNTY, KENYA

Reading activities are becoming a focal point in teaching pupils a new language especially English. Based on the studies that have attempted to show the influence of reading activities on performance in reading, it remains inconclusive that reading activities have significant influence on performance of the learners in English as one of the subjects learnt in lower primary schools in Kenya. There are inadequate studies on the influence of reading activities on performance of learners in reading in English in Grade One. This study sought to investigate the influence of reading activities on performance of learners in reading English among Grade One pupils in public primary schools in Kayole Zone of Embakasi Sub-County, Nairobi County. The study employed descriptive research design. The target population was 180 teachers and 3600 Grade One pupils summing up to an overall target population of 3780 respondents in 20 schools. This study employed stratified, purposive and simple random sampling techniques to obtain a sample size of 241 respondents comprising of 36 teachers and 205 Grade One pupils. The researcher used questionnaires and performance tests to collect data. Quantitative data were analysed descriptively and presented in form of percentages, frequencies and means for all objectives and correlations between the objectives. Qualitative data was analysed by categorizing it into themes and presented in form of themes and verbatim quotation where necessary. The study findings revealed that reading activities identified include sound reading, word reading, shape reading and colour reading. In addition, pupils perform better (mean of 3.52) in reading speed followed by interpretation of colour and shapes (mean of 3.51) and the least performance is in fluency (mean of 3.38). The study findings established that, sound reading activities and shape reading activities positively influenced performance of pupils in reading English. Also, word reading activities and colour activities did not significantly influence performance in reading English. The study concludes that not all reading activities significantly influence performance of the pupils. The study recommends that school administration and teachers should improve their strategies in improving delivery and performance of pupils in English. Article visualizations:
Research on the Development of Artificial Intelligence in China

The development and progress of artificial intelligence (AI) has greatly changed peopleâ€™s ways of production and life. At this stage, the rise of all kinds of terminal products and industry due to artificial intelligence rapid rise, it promotes the development of the country, social and individuals, but at the same time, as a result of artificial intelligence in benefiting the nation, society and individual human beings, the lack of critical thinking has caused many in the formulation of laws and regulations, employment and ethical issues. Take one-dimensional people, Marcuse profoundly pointed out the absence of critical thinking and the rule of science and technology on state, society and individual. Whether the artificial intelligence can bring people benefits and convenience while correctly applying critical thinking to deal with the crisis caused by it becomes the key factor for the artificial intelligence to continue to better benefit mankind.
Defining discourse formulae: computational approach

In this paper, we address the problem of automatic extraction of discourse formulae. By discourse formulae (DF) we mean a special type of constructions at the discourse level, which have a fixed form and serve as a typical response in the dialogue. Unlike traditional constructions [4, 5, 6], they do not contain variables within the sequence; their slots can be found in the left-hand or right-hand statements of the speech act. We have developed the system that extracts DF from drama texts. We have compared token-based and clause- based approaches and found the latter performing better. The clause-based model involves a uniform weight vote of four classifiers and currently shows the precision of 0.30 and the recall of 0.73 (F1-score 0.42).The created module was used to extract a list of DF from 420 drama texts of XIX-XXI centuries [1, 7]. The final list contains 3000 DF, 1800 of which are unique. Further development of the project includes enhancing the module by extracting left context features and applying other models, as well as exploring what DF concept looks like in other languages.
Special Issue on Highlights of ACM Intelligent User Interface (IUI) 2017

research-article Share on Special Issue on Highlights of ACM Intelligent User Interface (IUI) 2017 Authors: Fang Chen University of Technology Sydney, NSW, Australia University of Technology Sydney, NSW, AustraliaView Profile , Carlos Duarte Universidade de Lisboa, Lisboa, Portugal Universidade de Lisboa, Lisboa, PortugalView Profile , Wai-Tat Fu University of Illinois at Urbana-Champaign, IL, USA University of Illinois at Urbana-Champaign, IL, USAView Profile Authors Info & Claims ACM Transactions on Interactive Intelligent SystemsVolume 9Issue 2-3September 2019 Article No.: 7pp 1–3https://doi.org/10.1145/3301292Published:18 April 2019Publication History 2citation163DownloadsMetricsTotal Citations2Total Downloads163Last 12 Months12Last 6 weeks2 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Classification of Chinese Dialect Regions from L2 English Speech

This paper presents an effort to classify Chinese speakers’ L1 dialect regions from their L2 English speech. By applying LightGBM (a gradient boosting classifier based on decision trees) to softmax-based features from deep neural networks, our system achieved 68% accuracy on five dialect regions using one sentence and 82% accuracy using 23 words. The results represent a nearly 50% error reduction over a baseline system based on HMM/GMM and forced alignment. We demonstrated that modeling phone boundaries and vowel stress yielded a relative error reduction of 18%, with phone boundaries being more useful than vowels and consonants. Furthermore, in terms of classification models, LightGBM was extremely robust on this task, which we believe deserves further investigation.
The Effect of the Using of ICT-Based Media and Learning Interest to the Students’ Learning Results

The perspective of learning theory states that many factors that affect students' learning result, whether internally or externally.The internal factor such as the using of ICTbased learning media and learning interest which are assumed strongly affect the students' learning results.This research was quantitative research by using interpretive research approach with the sample 161 students taken from State Junior High School Gorontalo City at academic year 2017/2018.The collecting of the data was conducted through the observation, questionnaire, and documentation.The data analysis technique used in this research was multiple linear regression analysis using the estimation model of Metode Ordinary Least Square (OLS).The result showed that the utilization of ICT-based learning media had positive and significant effects on the students' learning results.In the same way, students' learning interest also positively and significantly affected the learning results of students.Besides that, the finding also showed that the using of ICT-based media and learning interest simultaneously had positive and significant effects on the students' learning results.
A Taxonomy of container security on computational clouds: concerns and solutions

VirtualizationincloudcomputinghasbeenusedincombinationwithenvironmentsPlatformas a Service (PaaS) and Infrastructure as a Service (IaaS) in order to provide performance, isolation, and scalability. However, containers and virtual machines (VMs) are susceptible to the vulnerabilities present in the core of operating system as well as container solutions, which are a risk for information and service operation of all entities sharing a same host. The safety recommendation guides aims to mitigate the security in this scenario, but the selection of containerization solutions taking into account security requirements is a complex task. Thus, we propose a security taxonomy focused on containers to cloud computing in order to assist the classification and evaluation containers security mechanisms and solutions.
An Efficient Object Search in Video Using Template Matching

This research paper presents a novel approach for object instance search in video.At the inception, video is selected for which the object instance within the desired video is to be searched and given as an input to system.In preprocessing step, video is divided into key frames.In next step, features are extracted from query image and using template matching algorithm it is compared with key frames.If the object is present in frame then it will display detected object.Similarly, all the frames in video which contains the object are displayed.Max Path Search algorithm is used to remove the noise against classifier and Spatio-Temporal trajectories are used to improve object search.We encountered the fundamental challenge to detect an object from a set of key frames of a video with a partial appearance of object due to lighting, positioning, occlusion etc. from a known class such as logo and any other.The goal of proposed method is to detect all instances of object from known class.