Reviewerly/exHarmony huggingface dataset:
RANCANGAN PEMBELAJARAN JARINGAN KOMPUTER MODEL DICK DAN CAREY BERBASIS MANAJEMEN LAYANAN INFORMATION TECHNOLOGY INFRASTRUCTURE LIBRARY (ITIL)

Computer Network Learning is one of the teaching and learning processes in the compulsory Computer Networking course in a study program in the computer science family. Dick and Carey designs are the general components of a learning material from the procedures that will be used in learning to produce the desired learning outcomes. Furthermore, Information Technology Infrastructure Library (ITIL) is one of the frameworks that is part of Service Management in IT governance to make it easier to evaluate IT services and to find out things that must be developed in that service. The purpose of this study was to produce a design concept in the ITIL-based dick and carey model of computer network learning design. The method used is a literature review that utilizes all available reference sources. The result achieved is the ITIL-based Dick and Carey model computer network course concept which will create a quality computer network learning design.
A Secure Communication using Smart Mobile and Cloud Process

Information storage and security is one of key areas where much research is been done in this digital world where we communicate the data over using third party devices such as cloud by using smart devices such as mobiles so the security is an quite challenging factor where we access our data across the globe and with the social media coming into factor for the storage and accessibility of the data so there are many risk factors coming into process so we need to implement a smart and secure system for the authentication threats so here in this paper we implement a smart system in which face recognition aunthication system is implement between the cloud and mobile activity which give more security in terms of data storage and communication and then we evaluate using different graphs and also analyses the attacks
Effect of Conceptual Knowledge of Student Science on Student Learning Outcomes using STAD Type Cooperative Model

This study aims to analyze the difference between science conceptual knowledge of class students who are given the STAD type cooperative learning model compared to students who study with conventional models.This type of research is experimental research.The population in this study was 217 students.The sampling technique is done by purposive sampling class.The number of samples taken was 60 students divided into control class and experimental class.The experimental class was given learning treatment with the STAD type model and the control class was given conventional learning treatment.Data collection techniques were performed using conceptual knowledge tests and motivation questionnaires for learning data analysis techniques using two-way Anava.The results of this study indicate that the learning outcomes of science students who are taught with STAD type learning models differ significantly and are better than students who are taught by conventional learning
IMPLEMENTASI DATA MINING UNTUK MENGETAHUI POLA PEMBELIAN OBAT MENGGUNAKAN ALGORITMA APRIORI

Competition in the business world requires entrepreneurs to think of finding a way or method to increase the transaction of goods sold. The purpose of this research is to provide drug stock data that is widely purchased by pharmacy customers at Kimia Farma, Green Lake branch in Jakarta. The algorithm used in this study is a priori to determine the relationship between the frequency of sales of drug brands most frequently purchased by customers. The association pattern formed with a minimum support of 40% and a minimum value of 70% confidence produces 17 association rules. The strong rules obtained are that if you buy a 500Mg Ponstan KPL @ 100, you will buy an Incidal OD 10Mg Cap with a support value of 59% and a confidence value of 84%. A priori algorithm can be used by companies to develop marketing strategies in marketing products by examining consumer purchasing patterns.
Resources for Students' Educational And Research Activities

The article deals with the specificity of students' teaching and research activity; a comparison of the structural components of individual cognitive style and components of teaching and research activity is carried out. The developmental functions of teaching and research activities of students are considered. The comparison of research and learning activities, research and project research activities of students is carried out.
JPR volume 57 issue 4 Cover and Back matter

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Seismic-strain and acoustic monitoring of geodynamical processes by high sensitive and spatially distanced instruments in seismo-energy-active and aseismic zones

The results of wideband geophysical processes observations by means of laser strainmeters and special geo-acoustic equipment are presented. The examples of synchronous registering of strain-seismic and geo-acoustic earth oscillations in Kamchatka and Moscow region as well as parallel analysis of the obtained data are shown. These results reveal the possibility of the introduced technics application for local and global disturbances of investigated processes separation.
A Novel Machine to Machine Based Health Monitoring Device using IoT

These days, health monitoring gadgets are assuming an essential role in health services. Such frameworks are considered as the most significant developments because of its creativity and innovation. A compact gadget is used to record imperative parameters of the human body like its temperature, Heart pulsates, and beat rate, and so forth by utilizing embedded innovation. Typically, it is very hard to make sense of the irregularities occurring in the human body. Much of the time an individual surrenders because of off base or an erroneous forecast of infection. Henceforth to follow the inconsistencies occurring in the human body there should be a framework that can screen the progressions occurring in the human body most unequivocally and precisely. In this paper, a novel machine to machine based health monitoring device using IoT technology in health care services is proposed which regularly monitors the health parameters of the patient through an electronic wearable device giving results that are well precise when compared with the standard medical equipment measurements. These data can be assessed over the Internet for precise treatments.
Minor Revision of the manuscript &amp;quot;Technique for solving for microseismic source location parameters based on adaptive particle swarm optimization&amp;quot;

The manuscript "Technique for solving for microseismic source location parameters based on adaptive particle swarm optimization" aims to apply the PSO algorithm to determine the coordinates and origin time of rockbursts which could occur during mine exploitation.The purposes of the study are very well explained.The applied method and the PSO algorithm are described in a detailed way.The results are convincing and allow the authors to assert that PSO algorithm performs better than Least Squares Method algorithm: the estimation of parameters is more accurate, and also the times for the computation are faster.I suggest to accept the manuscript after a minor revision.
Implementation of Direct Indexing and 2-V Golomb Coding of Lattice Vectors for Image Compression

Indexing of code vectors is a most difficult task in lattice vector quantization. In this work we focus on the problem of efficient indexing and coding of indexes. Index assignment to the quantized lattice vectors is computed by direct indexing method, through which a vector can be represented by a scalar quantity which represents the index of that vector. This eliminates the need of calculating the prefix i.e. index of the radius ( R) or norm and suffix i.e. the index of the position of vector on the shell of radius R, also eliminates index assignment to the suffix based on lattice point enumeration or leader’s indexing . Two value golomb coding is used to enumerate indices of quantized lattice vectors. We use analytical means to emphasize the dominance of two value golomb code over one value golomb code. This method is applied to achieve image compression. Indexes of particular subband of test images like barbara, peppers and boat are coded using 2-value golomb coding (2-V GC) and compression ratio is calculated. We demonstrate the effectiveness of the 2-V GC while the input is scanned columnwise as compare to rowwise. Experimentally we also show that good compression ratio is achieved when only higher order bits of the indexes are encoded instead of complete bits.
Research of Profitable Period for the Jasmine Farmers Based on its Yield Estimation and Market Price using K-Means Clustering Algorithm

Jasmine is the oldest fragrance flower and commercial crop of south India. It is mostly used for garlands, perfumes, cosmetic and medicinal purpose. Its use is only for 24 hours. Jasmine grows successful in all season but farmer does not have the proper guidance to cultivate the jasmine in correct climate to cultivate, month to plant and harvest and best fertile soil to plant the jasmine will help the farmers for best cultivation and productivity of jasmine. But without the knowledge the farmer’s not get the profit of selling the jasmine in all season. In peak season the jasmine flower is high and the price is low in market and in lean season the flower is low but the market price is high. This is the main reason for the research to choose a particular month in lean season to increase the jasmine flower yield to get more profit to the farmers, and the yield estimation, data sets are collected and calculated using K-Means Clustering Algorithm in data mining
Detection of an Intruder and Protecting Automated Teller Machine using Seismic Sensor

Main motive of this proposed work is to develop an accurate security system for the Automated Teller Machine (ATM). High security is achieved by detecting harmful movements at the location. The proposed system uses Fuzzy logic and KNN classifiers to detect the motion accurately and take appropriate action. Fuzzification is implemented to work on larger data set and to observe different smaller data. Furthermore data is processed through the k-NN classifier to get the nearest result like it is intrusive behavior or normal behavior. If it is intrusive behavior then the door is locked and camera starts recording simultaneously message will be sent to the concern authority to take the counter action. Sensing system is developed with the help of geophone sensors, microcontroller. The proposed system achieves the accuracy of 98 percent to detect the harmful action.
A Spatial Correlation Based Power Aware Event Driven Image Stitching In Wireless Multimedia Sensor Network

Wireless multimedia sensor network(WMSN) is an image sensor which is attached to sensor node to capture information within the field of view (FOV). Due random deployment of multimedia sensor nodes there exist overlapped FOV between multimedia sensor nodes. Overlapped FOV causes redundant data transmission which leads to increased power consumption and reduced life time of a node. Another factor which may reduce the energy consumption is to capture image continuously. To escalate these issues we have designed event driven spatial correlation based image stitching algorithm. There are two modules in this scheme, first event detection module capture the image only when event is detected and second module perform image stitching when the cameras capture information. Experimental results shows there is a considerable improvements in terms of reduction in data processed.
Acknowledgement to Reviewers of Minerals in 2018

Rigorous peer-review is the corner-stone of high-quality academic publishing [...]
Klasifikasi sinopsis novel menggunakan metode naïve bayes classifier

It is undeniable that technological progress is developing very quickly in the field of computers, now with computers the work that was originally done by humans can be taken over by computers to help human work itself, like case studi of this research is a system that can classification the text like synopsis into genre group. Genre is the style of story in a novel, there are many genres in the novel that are expected to be romantic, comedy, mystery, horror and others, by knowing the genre of the novel the reader will be able to know the story style of the novel. The method used in this research is TF-IDF (Term Frequency Inverse Document Frequency) and Naïve Bayes Classifier. The TF-IDF method is used to get the weight of each word contained in the resulting document is used in the Naïve Bayes Classifier method to get the synopsis classification results into genre. Based on the evaluation using a confusion matrix using 600 training data and 200 test data obtained an accuracy of 80.5%.AbstractIt is undeniable that technological progress is developing very quickly in the field of computers, now with computers the work that was originally done by humans can be taken over by computers to help human work itself, like case studi of this research is a system that can classification the text like synopsis into genre group. Genre is the style of story in a novel, there are many genres in the novel that are expected to be romantic, comedy, mystery, horror and others, by knowing the genre of the novel the reader will be able to know the story style of the novel. The method used in this research is TF-IDF (Term Frequency Inverse Document Frequency) and Naïve Bayes Classifier. The TF-IDF method is used to get the weight of each word contained in the resulting document is used in the Naïve Bayes Classifier method to get the synopsis classification results into genre. Based on the evaluation using a confusion matrix using 600 training data and 200 test data obtained an accuracy of 80.5%.
Background Subtraction of an Indian Classical Dance Videos using Adaptive Temporal Averaging Method

A slew of motion detection methods have been proposed in recent years. The background includes some constraints such as changes in illumination, shadow, cluttered the background, scene change and speed of dance between hand gestures and body gestures are different. One of the most basic methods for background subtraction is temporal averaging. We looked at a new adaptive temporal averaging approach in this paper. To identify moving objects in video sequences, an adaptive temporal averaging technique is used. Depending upon the speed of the technique we proposed a Gaussian distribution technique. Gaussian distribution done background subtraction depending upon active pixels it differentiates whether it is a background or foreground. The background model's update rate has been modified to be adaptive and determined by pixel difference .Our aim is to improve the method's F-measure by making it more adaptable to various scene scenarios. The experiment results are shown and evaluated. The proposed method and the original method's quality parameters are compared
Annotation Guideline No. 8: Annotation Guidelines for Narrative Levels

I first became aware of the SANTA project at the Digital Humanities conference in Montreal in the summer of 2017. I had just been assigned a 90-student secondyear undergraduate Digital Humanities undergraduate English Literature class, set to begin in January 2018, and I was looking for a group annotation project for my students. In previous iterations of the course, I had carried out several annotation projects focused on the narrative phenomenon of free indirect discourse (FID) in texts by Virginia Woolf and James Joyce. What made these projects successful, from my perspective, was that FID is a complex phenomenon (by definition, a passage in which it is difficult or impossible to say for certain whether a character or narrator is speaking certain words) which is however relatively easy to represent in machine language (for instance, with the TEI <said> element and a few value-attribute pairs). The challenge in the assignment, in other words, was literary rather than technical: while it was easy to learn the TEI tagging, it was hard to say for certain whether a passage from To the Lighthouse was in direct discourse or FID, or to identify who exactly was speaking. To my mind, this made the assignment a meaningful one for my students, teaching them a technical skill while also bringing them into closer contact with the sometimesirresolvable complexities of literary language.
Olex-Genetic Algorithm Based Information Retrieval Model from Historical Document Images

Presently, the process of retrieving the historical documents is treated as an important challenge due to the fact that the document possessesindividual structure and level of deprivation. The textual characters present in the printouts come together with the typographical objects. The retrieval and perusal of the visual typographical objects indicates that the content of heritage documents helps to effectively interpret the documents. The extraction of the visual objects finds useful in the interpretation and conveyance of more details regarding diverse practices of demonstration in past documents and the impact in the present status of publication. A pair of essential typographical objects linked to the history of knowledge and information is footnotes and tables. In this paper, the main intention is the detection of the existence of the visual elements from historical printable documents. A new Olex-GA based footnote recognition model (OFR) is developed. The footnote detection model make use of a collection of layout-based models for the extraction of few features concerning to the font and appearance. In addition, Olex-GA algorithm is for the classification purposes. This model is validated using a massive set of 18thcentury printed documents with higher than 32 million images, and the outcome showed their effective outcome of the presented model.
JPD-analysis as a new approach for studying the zircon texture with micron spatial resolution with application to geochronology

The polygenic and polychronous character of zircon texture is the key source of information on the conditions of its growth and secondary alterations. In this research the JPD method of processing of the BSE and CL images including plotting of JPD histograms and JPD maps of grains was developed and applied for quantitative study of the internal texture of zircon grains with micron spatial resolution and for its use in geochronometry. The nomenclature for distinguished zones on the generalized diagram (BSE vs. CL) is suggested for zircons of a wide range of the conditions of its formation, age, size, texture types, and degrees of structure disordering. The JPD-analysis of zircon internal texture is applied for interpretation of the nature of variations in the BSE and CL intensities within an individual heterogeneous grain (on the quantitative level) and between different grains (on the qualitative level). The approach is suggested as the preliminary stage during geochronological studies increasing the reliability of the local electron microprobe and mass spectrometry isotope dating of the mineral.
Adolescent Knowledge of Anemia and Iron Supplement Consumption Before and After Health Education

The purpose of this study was to describe adolescent knowledge of iron supplement anemia and consumption before and after health education. This research was quantitative with a quasi-experimental design using pre-posttest without control. The material presented in the form of lectures and videos on 119 students at 16 senior high school in Pekanbaru. Pre and Post-test to evaluate the level of knowledge of adolescents. The results showed that before counseling 35.5% of adolescents had never consumed iron supplements. After the intervention, the increase in correct answers ranged from 0.8 to 21.9 percent, with the highest rating being on vitamins that help with iron absorption, beverages that inhibit iron absorption and cause anemia. The average score for adolescent knowledge before intervention is 6.46. The average score after intervention increased to 7.27. T-Test results showed significant differences in knowledge scores before and after the intervention. Teenage Health Care Services need to be established as adolescent health counselors so that they can motivate other students in adolescent reproductive health, especially in consuming iron supplements.
Designing, Implementing and Evaluating a Cross-Modal Sensory Substitution System for the Effective Communication of the Emotional and Informative Aspects of Music

Visualizations have existed for millennia as ways to communicate information. Visualizations are ubiquitous tools used every day to help navigate cities and aid in learning complex tasks. Tasks are made simpler when applying various visualization methods to large data sets to discover trends that are otherwise difficult to notice. More recently, music visualization systems have been created to convey music in the visual domain; however, they are not based on any psychological model of auditory and visual equivalents. This thesis discusses a music visualization system called MusicViz, which facilitates in the visual communication of the informative and entertainment aspect of music based on psychologically justified translation principals. MusicViz is combined with a vibro-feedback chair called the Emoti-Chair, which translates auditory music to vibrations along the user’s back. The combined system is coined VITA (Visually Immersive and Tactile Animation). A usability evaluation of the VITA showed it is an enjoyable experience.
Supplemental Material: Raising the West: Mid-Cenozoic Colorado-plano related to subvolcanic batholith assembly in the Southern Rocky Mountains (USA)?

Chemical data for paleo-crustal-thickness estimates.&lt;br&gt;
Modeling User's Non-Functional Preferences for Personalized Service Ranking

As the number of web services is increasing on the web, selecting the proper web service is becoming a more and more difficult task. How to make the selection results from a list of services more customized towards users’ personal preferences and help users identify the right services for their personal needs becomes especially important under this context. In this thesis, we propose a novel User Modeling approach to generate user profiles on their non-functional preferences on web services, and then apply the generated profiles to the ranking process in order to make personalized selection results. The User Modeling system is based on both implicit and explicit information from the user. Also, this is a flexible model to include different types of non-functional properties. We performed experiments using a real web service dataset with values on various non-functional properties to show the accuracy of our system.