Reviewerly/exHarmony huggingface dataset:
Termine: Vakuum in Forschung und Praxis 2/2020

Vakuum in Forschung und PraxisVolume 32, Issue 2 p. 29-29 Magazin Termine: Vakuum in Forschung und Praxis 2/2020 First published: 15 April 2020 https://doi.org/10.1002/vipr.202070207AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume32, Issue2April/May 2020Pages 29-29 RelatedInformation
Innovational approaches in the Russian language textbook

The article researches the integrated educational program of the secondary education in Kazakhstanand the content of the textbook of Russian language which was created on its basis for 10 th grades of thenatural and mathematical direction. Integrated educational programs being introduced into the Kazakhstan by general education school and it supposed to integrate academic subjects, orientation of learninghow to use knowledge to solve problems. The article describes some innovative teaching methods usedin the textbook of the Russian language, when language learning is carried out through integration withother subjects through the study of cross-cutting speech topics, the use of texts in various subject areas,the development of academic language.The text in the textbook presents the main didactic unit on thebasis of which the skills of working with different types of information are formed, which implies the application of different types of functional reading: introductory (scanning), searching, studying (analytical),commenting.The article provides examples of exercises, tasks that direct the learning process to masterfunctional literacy, which allows students to realize their abilities, successfully adapt and socialize, todevelop flexibility of thinking, the ability to evaluate facts objectively, someone’s point of views, to analyze their actions and judgments.The success of the completion of such tasks depends not only on theknowledge of the subject matter but also on the mastery of reading strategies, working with information,its practical application.
PENGEMBANGAN DAN IMPLEMENTASI SISTEM PENYEWAAN TANGKI TIMBUN MINYAK KELAPA SAWIT

PT XYZ is a company that provides storage tanks to accommodate palm oil before it is finally shipped via the port. In its business process, PT XYZhas used technology to support its business activities, namely the crude palm oil (CPO) and palm kernel oil (PKO) storage tank rental system that theauthor has built in the previous research. However, concomitant with the development of the company, the need for the system has also increased sothat the existing system does not capable the needs of system users in managing data on tank mutation, free fatty acids tank and shrinkage claims. Basedon these problems, the authors decided to develop a storage tank rental system as a solution to answer the needs of system users. The system developedand implemented in this study is described using the waterfall method, use case diagrams and class diagrams. The palm oil storage tank rentalinformation system that developed in this study has a new additional function as a solution to the problems faced by PT XYZ in managing data. Thefollowing are the functions contained in a system that has been developed and implemented to change user passwords, processing data such as userdata, tanks, vehicles, customers, recipients, receiving and releasing palm oil, tank mutation, free fatty acids tank, claims of shrinkage and revenuereports, palm oil expenditure reports, tank mutation reports, free fatty acids tank reports and shrinkage claims reports.Keywords: Development, Information System, Carter, Storage Tank, Palm Oil.
Aplikasi Penyandian Record Menggunakan Metode Twofish

Technological developments are increasingly progressing, for example for data security. Data security is very important in maintaining the confidentiality of information, especially sensitive information, which only authorized parties can know, moreover data storage is done on a computer, if the data is not secured in advance then the data will be known by the parties who are entitled to it. is not entitled to the security of data on the record, the data on the computer is not easily seen and cannot be changed by irresponsible parties so that the data will be safe and cannot be contested by any party One of the data safeguards is by using a cryptographic system, which is the encryption of the contents of the information (plaintext) into incomprehensible content through an encryption process (encoding) and to retrieve the original information, a description process (deschiper) is carried out accompanied by using the correct key. Data encryption or cryptography is the study of hiding letters or writings so that they cannot be read by unauthorized people. Cryptography has been used since the time of Julius Caesar, who sent messages to the commander but did not have a courier to carry the message. Cryptography has 2 (two) important parts, namely encryption and description. Encryption is the process of encrypting the original message into a message that cannot be interpreted as the original. Description is to change a message that has been interpreted to be the original message, usually called plaintext, while the message that has been interpreted is called ciphertext.
New representations in genetic programming for feature construction in k-means clustering

© Springer International Publishing AG 2017. k-means is one of the fundamental and most well-known algorithms in data mining. It has been widely used in clustering tasks, but suffers from a number of limitations on large or complex datasets. Genetic Programming (GP) has been used to improve performance of data mining algorithms by performing feature construction—the process of combining multiple attributes (features) of a dataset together to produce more powerful constructed features. In this paper, we propose novel representations for using GP to perform feature construction to improve the clustering performance of the k-means algorithm. Our experiments show significant performance improvement compared to k-means across a variety of difficult datasets. Several GP programs are also analysed to provide insight into how feature construction is able to improve clustering performance.
AES-GCTR Mode-based Efficient Hybrid Encryption Scheme in Cloud-CCTV Service Environment

In the environment of Cloud-CCTV surveillance, encryption of images for the protection of privacy is essential. Yet, the existing encryption method has overhead regarding the management of mass data and streaming processing. As encrypted vectors are created and applied in a bucket unit in the proposed method, it has more efficient performance in the process of encryption and decoding compared to AES-CTR mode, and it makes an analysis attack difficult according to the randomness of a bucket size. In this paper, AES-GCTR mode that has improved the existing AES-CTR operation mode was suggested. In this process, encryption of CCTV image data is required. Yet, overhead of encryption itself exists in quality, so an efficient encryption method proper for mass data is necessary. The proposed method can make encryption and decoding performance more efficient, and is expected to be easily applied to the image surveillance system based on CCTVs that demands high capacity processing and real-time streaming.
Text Preprocessing Method on Twitter Sentiment Analysis using Machine Learning

In real world, twitter sentimental analysis (TSA) acting a major role in observing the public opinion about customer side. TSA is complex compared to general sentiment analysis due to pre-processing of text on Twitter. The maximum limit on the number of characters allowed on Twitter is 280. In this article we discuss the influence of the text pre-processing technique on the classification efficiency of emotions in two kinds of classification problems and summarize the classification efficiency of the four pre-processing methods. This paper contributes to the consumer satisfaction classification sentiment analysis and is useful in evaluating the details in the context of the amount of tweets where views are somewhat unstructured and are either positive or negative, or somewhere in between. We first pre-processed the dataset, then extracted the adjective from the dataset with some meaning called the feature vector, then selected the feature vector list and subsequently applied machine learning based classification algorithms namely: Naive Bayes, Random Forest and SVM along with WordNet based Semantic Orientation which extracts synonyms and similarity for the features of content. Experiments display that the accuracy (Acc) and average F1-measure (F1-M) of the classification classifier on Twitter are enhanced by using methods of pre-processing the extension of acronyms and swapping negation, but barely deleting numbers or stop words.
Regression Based Software Project Effort Estimation with Reusability for Startups

Prediction of effort for software development is the major task for the effective management of any software industry. At present, there are several estimation techniques and tools that are available for a software project. However, choosing the correct and efficient effort prediction of a particular software project is the most demanding task for a start ups. This study focuses on Multiple Linear regression for Software Effort Estimation technique which will provide higher classification accuracy of a software project and thus improves the prediction efficiently. The main aim of the technique is to help developers in startups to classify the project compared to existing software metrics and thereby increasing the software effort prediction rate.
Local Non Zero Eigen Value Preservation Based Expression Recognition

This work proposes an finest mapping from features space to inherited space using kernel locality non zero eigen values protecting Fisher discriminant analysis subspace approach. This approach is designed by cascading analytical and non-inherited face texture features. Both Gabor magnitude feature vector (GMFV) and phase feature vector (GPFV) are independently accessed. Feature fusion is carried out by cascading geometrical distance feature vector (GDFV) with Gabor magnitude and phase vectors. Feature fusion dataset space is converted into short dimensional inherited space by kernel locality protecting Fisher discriminant analysis method and projected space is normalized by suitable normalization technique to prevent dissimilarity between scores. Final scores of projected domains are fused using greatest fusion rule. Expressions are classified using Euclidean distance matching and support vector machine radial basis function kernel classifier. An experimental outcome emphasizes that the proposed approach is efficient for dimension reduction, competent recognition and classification. Performance of proposed approach is deliberated in comparison with connected subspace approaches. The finest average recognition rate achieves 97.61% for JAFFE and 81.48% YALE database respectively.
Solutions: Vector Calculus

This textbook is a comprehensive introduction to the key disciplines of mathematics - linear algebra, calculus, and geometry - needed in the undergraduate physics curriculum. Its leitmotiv is that success in learning these subjects depends on a good balance between theory and practice. Reflecting this belief, mathematical foundations are explained in pedagogical depth, and computational methods are introduced from a physicist's perspective and in a timely manner. This original approach presents concepts and methods as inseparable entities, facilitating in-depth understanding and making even advanced mathematics tangible. The book guides the reader from high-school level to advanced subjects such as tensor algebra, complex functions, and differential geometry. It contains numerous worked examples, info sections providing context, biographical boxes, several detailed case studies, over 300 problems, and fully worked solutions for all odd-numbered problems. An online solutions manual for all even-numbered problems will be made available to instructors.
Iot Based Smart Wallet Security and Fake Currency Detection System

The main objective is to create a security system for wallet based on RFID technology and also keep an account of how much money is coming inside and going out of the wallet which is done using tcs3200 colour sensor by which we can have an account of the amount of money spent and update the same on the mobile app. So, this project basically alerts the person if the wallet is missing from his/her pocket and also shares the location of the same and also gives the information of how much he/she has spent. The major components used in this paper include Raspberry PI, RFID Reader, RFID Tag, GPS Module, and TCS3200 Colour Sensor. Whenever the RFID card is placed near to the reader, the RFID reader obtains the UID (unique key) information about the card. The location of the wallet is obtained using the GPS Module. This detail is notified to user when the wallet is not connected. The status obtained by the RFID reader and the GPS module is collected by Raspberry PI. Using the PI’s WIFI, the details are posted onto the cloud. All the details posted onto the cloud are accessed via the APP and also through a website portal in case of any emergency
Environmental sustainability

The most important theme of the new millennium is the environmental sustainability. As we grapple with the fact that unrestricted use of unsustainable technologies has created what Nobel laureate Chemist Robert Curl calls a ‘technological disaster’, there has been a renewed call to focus on environmental sustainability before economic considerations. This is a remarkable departure from centuries old focus on economy first, others next. In this chapter, the current drilling practices are evaluated against a scientific sustainability criterion and recommendations made so progresses are made toward environmental sustainability. In drilling, this is a refreshing approach. It is shown that environmental sustainability is also economically attractive as long as the holistic approach is taken. If such considerations are not made prior to drilling, the eventual cost to the industry is far greater than that considers environmental sustainability first.
BYOE: Design and Development of a Simple Robotic Arm

Abstract In today’s world there is an increasing need to create artificial arms where human interaction is difficult or impossible. In this paper we describe the implementation of a simple robotic arm capable of moving and lift some objects. The development of this arm is based on the Arduino UNO. The servos act as joints of the robotic arm which are controlled by corresponding potentiometer. We have used low torque servos here due to budget constraint and proof of concept; however more powerful servos can be integrated to pick heavy object. This particular robotic arm was designed with four degrees of freedom and programmed to accurately accomplish simple and light material lifting task as in the production line in any industry. However, it can be used as pharmacy-based drug-giving robots; in the medical sector and in automation systems. The generation of the human-like manipulation motions has been implemented and also tested successfully for the 4 degrees of freedom (DOF) arm of the humanoid robot. The presented approach does not consider the dynamics of the robot arm. This would be necessary to generate realistic velocity distribution for the manipulation motions. The implemented prototype has the ability to move in 4 axis directions with 4 servo motors. The voltage across variable resistors is not completely linear rather a noisy one. Capacitors are used across each resistor to filter out this noise, as shown in figure 1. This voltage represents the control position and is fed into four ADC channels of Arduino to get corresponding digital values. The Arduino UNO ADC has a resolution of 10 bit, means it maps input voltages between 0 and 5V into digital values between 0 and 1023; in other words, 4.9mV per unit. This project is very helpful for beginners who want to make a robotic arm with low cost. The steps to build this prototype is summarized below: • In this case we are using cardboard, but can be replaced by plastic o aluminum sheet • Take a flat and stable surface, like a table or a hard cardboard. Next place a servo motor in the middle and glue it in place. This servo acts as base of arm. • Place a small piece of cardboard on top of first servo and then place the second servo on this piece of board and glue it in place. • Take some cardboard and cut them into 3cm X 11cm pieces. Make sure the piece is not softened. Cut a rectangular hole at one end (leave 0.8cm from bottom) just enough to fit another servo and at another end fit the servo gear tightly with screws or by glue. Then fit the third servo in the first hole. • Now cut another cardboard piece with and glue another gear at the bottom of this piece. • Now glue the fourth and last servo at the edge of second piece. • For hook, cut another two pieces of cardboard of lengths 1cmx7cm &amp; 4cmx5cm. Glue them together and stick final gear at the very edge. • Mount this piece on top and with this we have done building our Robotic Arm. A simple demonstration can be viewed: https://www.youtube.com/watch?v=nklAu7L0_JU&amp;feature=youtu.be
Factors of E- Learning among Rural People of Cuddalore Region

The life of learning and human abilities today is shorter than any time in recent memory, mounting the strain to stay fully informed regarding ones instruction and preparing all through a profession. In the time of globalization and innovative insurgency, four-year degrees are only the beginning of a forty-year proceeding with training. Deep rooted learning is rapidly turning into a basic in todays world. E-Learning is insinuated as teaching and learning by using electronic media. The utilization of system innovation to configuration conveys, select, oversee, and expand learning. This approach supports the usage of frameworks organization and exchanges innovation in instructing and learning. E-Learning is for the most part implied for remote learning or separation adapting, yet can likewise be utilized in up close and personal mode. In this paper centered to learn about the familiarity with E-Learning in chosen provincial regions in cuddalore regions. The compelling elements just as limited reasons additionally assessed. This examination is Descriptive nature. Comfort testing techniques utilized and essentially rely upon organized poll to gather the essential information.
Gaussian Membership Function used for Voice Recognition in Fuzzy Logic

Gaussian Membership function of a fuzzy set is a generalization form which is used to classify the human voice either based gender or age group. Membership functions were introduced by Zadeh in the first paper on fuzzy sets in the year 1965. In this paper we describe Gaussian membership function which we used to implement the simulation or classification of the human according to their age in fuzzy logic. A Gaussian Membership Function (MF) is a curve that defines how each point in the input space is mapped to a membership value (or degree of membership) between 0 and 1.
Machine Learning Aided Task Scheduling on Cloud Computing

Cloud computing has been the trending technology in sync with the internet of things being explored to its fullest strength as the world tends to digitize each activity, be it professional or personal or academic.In the view of providing break less and in time communication among the devices connected to facilitate the user for proper management of his activities, load balancing and task scheduling are the two significant issues that obstacle the implementation.This paper tries to push the limits of the cloud computing environment by embedding the machine learning algorithm for scheduling the tasks with an indirect effect on load balancing among the resources on the cloud.The K-Means algorithm can create clusters of jobs and the resources available based on their operating characteristics and processing behavior.
Barcode Recognition Using a Morphological Analysis

In this paper, we propose a simple method to recognize barcodes.It is based on the feature extraction of lines from the barcodes.It firstly captures the gray-scaled images by CCD camera.Then the regions of bars and spaces will be separated, and the widths of barcodes are then recorded.Finally, we use the feature of widths to recognize the barcodes.From the experimental results, it can be found that the proposed method is effective for bar code recognition.
The use of literacy approach to teach writing of descriptive text at the seventh grade students of SMPN 1 Ngebel

The main purpose of teaching learning English in Junior High School to develop the students’ competence and knowledge in four language skills, Speaking, Reading, Listening and Writing. One of the difficult skills is writing. In this research are describe how are the uses, problems, and solutions of the use of Literacy Approach to Teach Writing of Descriptive Text At The Seventh Grade Students of SMPN 1 Ngebel. Literacy approach is one of the approaches used to teach writing especially in descriptive text because Literacy approach is the ability to read and write. There are some step of teaching writing, they are planning, composing, and revising. This research uses descriptive qualitative research. Participant/Informant of the research are the English teacher and the seventh grade students of SMPN I Ngebel Ponorogo. This research uses purposive sampling technique. The techniques which are used to collect the data are observation, interview, and documentation. Techniques of the data analysis are data reduction, data display and drawing conclusions. The result of the analyzing data indicates that the uses of literacy approach in teaching writing of descriptive text are divided into two steps. The first is preparation steps and the second is learning process. The learning process uses literacy approach includes introduce and giving explanation the descriptive text, give the modal of the descriptive text and have text to analyze, make group work to discussion the students’ ideas, give the chance to make students’ own product and also checking the students’ understanding about the material. Besides, the problem of the use literacy approach in writing of descriptive text are sometimes the students are noisy in the classroom and their vocabulary are still low. The students feel afraid to deliver their opinion and ideas in teaching and learning process. The solution of the use literacy approach in writing of descriptive are the students must make group work of the students’ worksheet, Teacher controls the students and gives scores for students.