Reviewerly/exHarmony huggingface dataset:
Parameter estimation of log-normal distribution based on local information

Unknown parameters of a distribution can be estimated using different methods of Estimation procedures. Estimations are often based on the complete information of the sample. But in reality, it is very much difficult to estimate the parameters on complete information of a big sample. In this paper, we discuss the estimation procedure of the Local Frequency Ratio Method of estimation for the log-normal distribution with only partial information of the sample. These local Information estimators are compared with the standard estimation procedures and found that there is not much difference between the complete information and the local information procedure developed which is the breakthrough of this paper.
Development of Smart City Sustainable Key Performance Indicators in line with IT Infrastructure Library

The process of urbanization in urban areas will cause several problems in its management. Therefore, the smart city concept is here to be a solution for rapid urban development, especially in the context of information technology services. A smart city cannot be separated from the role of information technology, but a smart city is certainly not enough if it is only supported by ICT; factors such as people and IT infrastructure are also supporting factors. This study seeks to understand the process of developing a smart city in terms of IT services that are in accordance with the goals of a smart city. Then try to compile measures of IT service performance to see its contribution to the development of smart cities as a whole. The methodology used in this study uses a literature review stage from several research sources; identification; data analysis; and the last step is to define key performance indicators in smart cities. The results of this study found eight key performance indicators that can be used to measure the success of smart city implementation in line with the practice of Library Information Technology Infrastructure. This study finds explanatory factors in the relationship between smart city goals and IT service management concepts. By applying the findings of this research, stakeholders will be able to benefit from seeing a picture of the alignment between Smart City Goals and IT Service Management.
Secure E-voting system using blockchain based on solidity technology

In a modern democracy, the election is a very distinctive occurrence, but some parts of the society don’t trust their election system to be fair which is one of the major concerns for the countries democracy. Also, the most democratic nations, such as Japan, the United States of America, and India, have flawed electoral processes. Electronic voting machine hacking and vote rigging, electoral fraud, and capturing the polling booth are some of the major issues in current election system. In this paper, we are trying to give a best possible solution for this issue and an E-voting system. Also, this paper aims to implement applications of blockchain as a service. The paper’s section will highlight some of the most common blockchain systems that provide blockchain as a service that is focused on blockchain and reduces the risk of the issues listed above while also protecting voter identification while remaining open to the public.
A Robust Descriptor Based on Modality-Independent Neighborhood Information for Optical-SAR Image Matching

Due to the intensity differences and speckle noise, automatic optical-synthetic aperture radar (SAR) image matching is still a challenging task. This letter addresses this problem by proposing a novel descriptor (MaskMIND) with three different modes using modality independent neighborhood information. This descriptor aims to sample and active relative structural information to improve accuracy and precision. In addition, the gradient maps are calculated respectively in pretreatment to eliminate noise. Then the corresponding metric, which takes into account the increasing positional uncertainty with distance, is defined using the sum of squared differences (SSD) accelerated by fast Fourier transform (FFT). Our methods are effective because of its relativeness and abstractness. The experimental results in five optical-SAR image pairs show that our methods have great performance and potentialities. Compared with CFOG, which is the state-of-the-art method, the accuracy of our sMaskMIND-grids is improved by 12% on average.
Efektivitas Bahan Ajar Bahasa dan Sastra Indonesia Berbasis HOTS (High Order Thinking Skill) Pada Materi Teks Laporan Hasil Observasi

&#x0D; &#x0D; &#x0D; &#x0D; This aim of the study determine the effectiveness of Indonesian Language and Literature Teaching Materials Based on HOTS (High Order Thinking Skill) in the text of the observation report. The method of this study is the experimental method with the design of the Two Pretest-Posttest Design Group which involves differences treatment between the two groups of experimental methods which give different treatments to the two classes, namely the experimental class and the control class. This experimental method also uses an experiment specifically designed to generate useful data to answer research questions. For the study data were taken from 67 samples from the population. The retrieval data is finished with an assignment instrument which is writing a Report Text of Observation Results based on field observations. The research hypothesis is the learning outcomes using HOTS-based teaching materials are more effective than module teaching materials.&#x0D; &#x0D; &#x0D; &#x0D; &#x0D; The data of this study were analyzed by the "t" test. After the value of t count is known, then consulted with the value of t table at a tarf of 5% or 1% with dk = (N1 + N2) - 2 = 65. In table t with dk = 65 a significant level of 5% = 2.00 and level significant 1% = 2.65. Because t0 obtained is greater than tt which is 2.00 &lt;3.89 &lt;2.65, the hypothesis is accepted. The result shows that learning using HOTS-based teaching materials is more effective to use.
Picking Up Quantization Steps for Compressed Image Classification

The sensitivity of deep neural networks to compressed images hinders their usage in many real applications, which means classification networks may fail just after taking a screenshot and saving it as a compressed file. In this paper, we argue that neglected disposable coding parameters stored in compressed files could be picked up to reduce the sensitivity of deep neural networks to compressed images. Specifically, we resort to using one of the representative parameters, quantization steps, to facilitate image classification. Firstly, based on quantization steps, we propose a novel quantization aware confidence (QAC), which is utilized as sample weights to reduce the influence of quantization on network training. Secondly, we utilize quantization steps to alleviate the variance of feature distributions, where a quantization aware batch normalization (QABN) is proposed to replace batch normalization of classification networks. Extensive experiments show that the proposed method significantly improves the performance of classification networks on CIFAR-10, CIFAR-100, and ImageNet.
An Expert System For Diagnosing Tonsylliti Disease Using Web-Based Forward Chaining Method

Tonsillitis is inflammation of the palatine tonsils, which are part of the Waldeyer ring. Spread of infection through air borne droplets, hands and kissing. 4,5 Tonsillitis is more common in children aged 5-15 years with a prevalence of bacterial tonsillitis 15-30% in children with throat disorders and 5-15% in adults with throat disorders. The author received data that in the past year there were 63 patients suffering from tonsillitis, both acute and chronic. It can be concluded that every month there are 5-6 people from various regions in Bengkulu Province who suffer from tonsillitis and receive treatment at the Rafflesia Hospital. But the problem in the medical world is an imbalance between patients and doctors. In addition, most people are not medically trained, therefore the author intends to design an "expert system for diagnosing Tonsillitis using a web-based forward chaining method" which can be accessed through http://www.sistempakarfc1.my.id/. This application is expected to be used for the community in early diagnosis as prevention of more severe disease. This system is designed using the PHP programming language and MySQL database, the resulting expert system is able to help patients diagnose Tonsillitis and provide solutions to the disease. From the test results, the results obtained 100% functionality runs according to system requirements. In the system accuracy test carried out at Rafflesia Hospital, a very good accuracy value was obtained, which was 90% of the 10 sample data available.
PENERAPAN ALGORITMA TURBO BOYER MOORE DALAM SISTEM PENCARIAN DATA KONSUMEN ASTRA MOTOR CABANG BENGKULU

The process of managing consumer data and motorcycle sales data has utilized an office application package, namely Microsoft Excel. However, the data collection takes quite a long time, because it has to record all available motorbikes including frame numbers, engine numbers, and dealers who sell these motorbikes, besides that it is difficult to search consumer data. The consumer data search system for Astra Motor Bengkulu Branch is an application that can be used to help manage data on dealers, motorcycles, consumers, motorcycle sales, and facilitate the search for consumer data. This consumer data search system has implemented the Turbo Boyer Moore method which helps facilitate the process of searching for consumer data based on consumer names through character shifts. The consumer data retrieval system for Astra Motor Bengkulu Branch was created using the Visual Basic. Net programming language and SQL Server database. Based on test data conducted with the keyword Man to search for consumer names, the search system automatically conducts research data on the database using Turbo Boyer Moore Method and produces searches on the 5th pattern index. Based on the tests that have been carried out, the functionality of the consumer data search system for Astra Motor Bengkulu Branch has been running according to the design and there are no errors in the application
Research on Damage Assessment Method Based on Practical Training

In recent years, more and more attention has been paid to practical training.Damage assessment in practical training is an important research content, which is different from ordinary damage assessment.In the process of practical training, time is tight and data acquisition is limited, so damage assessment is more difficult.In this paper, a damage assessment method based on practical training is proposed, which includes standards and specifications establishment, system software development, practical training data measurement, ammunition manual development.The standards and specifications include target vulnerability evaluation criteria, ammunition warhead power and damage effect evaluation criteria, and weapons and ammunition damage effectiveness evaluation criteria.The system software includes weapon and ammunition damage effectiveness test system, weapon and ammunition test data information management system and weapon and ammunition damage effectiveness evaluation system.Practical training data measurement involves establishing and improving the damage effect test mechanism of actual combat training, carefully planning the damage effect test activities of actual combat training, and scientifically carrying out the damage effect test of actual combat training.The ammunition manual development requires comprehensive analysis of research results at home and abroad, full use of actual training data, close to the combat and training needs of the army, and ensure the innovation, credibility and practicability of the manual.
Politeness Maxims Used by English Students Program Study at STKIP Tama Siswa Bima

The aims of this research are to find out the types and the function of most dominant types of politeness maxim used by students in classroom interaction during learning process. The subject of this research is the students of English Program Study, the STKIP Taman Siswa Bima. This research used descriptive-qualitative method. Samples on this research consist of 25 students. To collect the data video recorded was used to record the students’ utterance and interaction in the class. The students’ utterances transcribed and analyze based on types and function of most dominant type’s politeness maxim. The result of this research there were six types of politeness maxim applied in classroom interaction, they were Tact Maxims, Generosity Maxim, Approbation maxim, Agreement Maxim, Sympathy Maxim, Modesty Maxim. The dominant types were used by students is tact maxim, and it plays several functions such as declarative function, interrogative function, imperative function, the apology function
Essential contact lens practice – interactive 2

Bill Harvey introduces a new interactive CET exercise based on the recent Essential Contact Lens Practice series.
Developments in electronic low vision aids: Assistive technology 3

In the third article in this series, Bill Harvey focuses on electronic reader devices and software and their adaptability for those requiring vision support and then describes some of the ever-growing number of apps aimed at supporting the visually impaired with reading.
Breaking Tor's Anonymity by Modifying Cell's Command

Tor is a relay-based communication network that provides users with anonymous access to the Internet. This paper proposes a new attack to associate the anonymous communication relationship between the client and the server in the Tor network, which exploits defects of the Tor protocol, resulting in deanonymizing the Tor network. In this attack, a malicious entry onion router modifies the command field of cell sequences derived from the client to embed a signal sequence. While the exit onion router detects a signal sequence consistent with the embedded signal sequence, the anonymous communication relationships between the client and the server can be confirmed. We have implemented the attack in a private Tor network and our experiments validate its feasibility and effectiveness, with 100% accuracy, 97.5 % true positive rate, and zero false positive rate.
Increasing Tiny Data Imputation Accuracy Using Temporal Polynomial Interpolation

Missing data is a common case in many systems. Incomplete data can affect the accuracy of analysis results. There are several methods have been proposed to handle missing data. Commonly, the way to recover the data is by eliminating the incomplete data series or replacing it with the average value of existing or previous data. This paper proposes a more accurate imputing incomplete data using the temporal polynomial interpolation method for tiny data such as live data. The result shows quadratic interpolation method generally gives fairly accurate results compared to other polynomial interpolation methods, with an MSE value of 0.051 for 10% missing data, 0.033 for 30% missing data, and 0,035 for 50% missing data. This MSE result is still better than another method like simple regression, which has an MSE value for 10% missing data around 0.71, 30% missing data around 0.59, and 50% missing data around 0.44.
An Expert System to Diagnose Diseases Caused by Coxsackie Virus in Children

The purpose of this study is to create an expert system application that can be used to diagnose diseases caused by the coxsackie virus in children using the certainty factor method. Viral infectious disease is a collection of types of diseases caused by viruses that easily attack children. Diseases that often occur in children are caused by very vulnerable viruses, this is because the immune system in the child's body has not been fully developed. One of the viruses that often attack children, among others, is the Coxsackie Virus. Coxsackie is a type of disease caused by the Coxsackie virus, which is a type of RNA virus. This virus is transmitted through the fecal oral route, namely bacteria from feces or feces that move from one person to another and enter the mouth of the other person. This system is designed using PHP Programming Language and MySQL Database. With this expert system, it is easier for users to consult about diseases caused by the Coxsackie Virus in children.
Application of new media retrieval system based on Neutrosophic social marketing

The new media is a crucial ply role in social marketing. The new media growth rapidly in social marketing so, select consumers and companies for competition. So, the new media is a complex task for companies and firms. The new media retrieval contains much content such as image retrieval, audio, and video retrieval. The new media retrieval contains many criteria, and each criterion contains sub-criteria. So, use an MCDM method for dealing with this problem. The new media retrieval system is analyzed under a neutrosophic environment. The Decision-making trial and evaluation laboratory (DEMATEL) integrated with single-valued neutrosophic. The DEMATEL method is used to show the importance and impact criteria of new media retrieval for helping companies in social marketing competition. An example is provided for showing calculations.
VIRTUAL AND AUGMENTED REALITY IN EDUCATION – OPPORTUNITIES, PRINCIPLES, CURRENT ASPECTS

Education is also reflected in the challenges facing modern society. In recent years, information technology has shown its important place in education. In many cases they were the only educational channel. The education system has proven to be flexible enough to use established methods and theories and combine them with the latest and most advanced information and internet technologies. This article examines the possibilities of using virtual and augmented reality in the educational process. The types of technologies are presented. Current aspects of technology application for educational purposes are considered. The principles on which the cognitive process should be built are described. The positives of applying modern educational technologies in the application of virtual and augmented reality technology are presented, e.g. project work, flipped classroom.
Comparative study and experimentation on different techniques for customised POS-tagging

In recent years, NLP is playing a crucial role in giving solutions to the problems like text summarisation, text classification, document similarity identification, and interactive systems. POS-tagging is one basic operation on a given natural language processing text. But present POS-taggers suffer from some serious problems. In this paper, we are identifying the limitations of the present POS-taggers and propose a new set of tags incorporated with the existing best POS-taggers (along with other tags). It is presumably suitable for paraphrasing, which will augment the dataset being prepared for the supervised learning of the interactive system. The performance of these POS-taggers is also measured experimentally.
PROBLEMS OF BIBLIOGRAPHIC DESIGN OF STUDENTS' RESEARCH WORK

The problem of plagiarism is currently very relevant and has a negative impact on the field of scientific education. The bibliographic design of student scientific papers (R&amp;D) is directly related to plagiarism. Bibliographic illiteracy of modern youth creates many problems in research. The definition of the scientific potential of the topic, object and subject of research allows you to establish a range of materials in which you need to look for the necessary information on the topic of the work, and make a list of sources and literature. Sources are what a researcher studies to gain new knowledge. The list of literature used plays an important role in research. Therefore, the emphasis is placed on bibliographic design and describes the problems allowed by students in the bibliographic design of scientific papers and gives a brief explanation.
РОЛЬ ІНТЕГРАЦІЙНИХ ПРОЦЕСІВ У ФАХОВІЙ ПІДГОТОВЦІ МАЙБУТНІХ УЧИТЕЛІВ ОСВІТНЬОЇ ГАЛУЗІ «ПРИРОДОЗНАВСТВО»

The article is devoted the of modern ideas, models, hypotheses, theories and the authors' own work, methodological approaches to the practical implementation of integrative educational technologies in the process of professional training of futureteachers of natural sciences.&#x0D; It was investigated a theoretical justification for the need, taking into account and creating opportunities to ensure the educational process in high school to study the cycle of natural sciences on an integration basis. The interrelation of naturalscience disciplines in the context of formation of key competencies and competencies of the future teacher of natural sciences is analyzed. It is established that a modern approach to the study and understanding of natural phenomena has been formed:only in the diversity and interrelationships of natural sciences, which constitute a single system of natural science knowledge, adequate knowledge of nature as a whole is possible. The integration of science education involves the application throughoutthe study of general scientific principles and methods that are core. The principle of complementarity, the principle of conformity, the principle of symmetry, the method of modeling and mathematical methods are the most important for the content ofintegrative natural sciences. During the fundamental study of objects of natural science that have different natures, integration connections that unite different branches of natural science knowledge through the application of fundamental laws, concepts and research methods acquire a qualitatively new character.&#x0D; The peculiarity of professional training of future teachers of natural sciences is determined by the effectiveness of design and implementation of different versions of the environment depending on the content and educational objectives of student’sdevelopment of specific educational material that is integrative.&#x0D; The prospects of studying this problem have been seen in the adequate implementation of integration processes that are characteristic of the current stage of development of natural sciences, which should be directly reflected at all levels inscience education.
Multi-Resolution A*

Heuristic search-based planning techniques are commonly used for motion planning on discretized spaces. The performance of these algorithms is heavily affected by the resolution at which the search space is discretized. Typically a fixed resolution is chosen for a given domain. While a finer resolution allows better maneuverability, it exponentially increases the size of the state space, and hence demands more search efforts. On the contrary, a coarser resolution gives a fast exploratory behavior but compromises on maneuverability and the completeness of the search. To effectively leverage the advantages of both high and low resolution discretizations, we propose Multi-Resolution A* (MRA*) algorithm, that runs multiple weighted-A*(WA*) searches with different resolution levels simultaneously and combines the strengths of all of them. In addition to these searches, MRA* uses one anchor search to control expansions of other searches. We show that MRA* is bounded suboptimal with respect to the anchor resolution search space and resolution complete. We performed experiments on several motion planning domains including 2D, 3D grid planning and 7 DOF manipulation planning and compared our approach with several search-based and sampling-based baselines.
The consulting room: Visual fields – a forensic approach

Tim Manners looks at improving the effectiveness of visual fields testing