Reviewerly/exHarmony huggingface dataset:
IoT based Blockchain Secure framework for Various Applications- a Survey

BlockChain (BC) has pulled in enormous consideration because of its changeless nature and the related security and protection benefits. BC can possibly defeat security and protection difficulties of Internet of Things (IoT). In any case, BC is computationally costly, has restricted versatility and acquires critical transfer speed overheads and postpones which are not fit to the IoT setting. Web of Things (IoT) is currently in its underlying stage yet very soon; it will impact pretty much consistently to-day things we use. The more it will be remembered for our way of life, more will be its danger being abused. There is a critical need to make IoT gadgets secure from getting split. In future, IoT will extend its province for the computerized attacks on network by varying things that were utilized to be detached into online structures. Existing security propels are adequately not to deal with this issue. Now, Blockchain rise as the possible response for making more secure IoT structures in the future time. In this paper, we present the examination pattern among different applications in which the framework of IoT which depends on Blockchain organization, and how they apply blockchain with IoT innovation to satisfy their goals
Sistem Pakar Diagnosis Penyakit Stunting pada Balita menggunakan Metode Forward Chaining

Stunting is a condition that occurs in toddlers that fails to grow as a result of nutritional deficiencies so that the height or length of the child's body is not normal for his age. Malnutrition occurs from the moment the baby is in the womb and in the early stages of the baby is born, but the stunting condition is only apparent after the baby is two years old. Currently, the problem occurs a lack of maternal knowledge of the importance of child nutrition during the first 1000 days of life and poor sanitation of the daily environment. Therefore, an expert system is designed to diagnose stunting disease early in children. The method used in expert systems is forward chaining. Expert systems provide diagnostic output as well as user history information, solutions, and processing of user history data. The expert system developed is helpful to help people in diagnosing stunting diseases easily and quickly, where the accuracy system is equal to 91%.
Enhancement of images in foggy weather conditions

The aim of this experimental work is to improve quality and texture of an image as the images taken in fog weather condition are not visible clearly due to expansion of fine water droplets in the fog which causes blockage and scatter the light and hence it reduce visibility. Different algorithms and techniques were studied which enhance the quality of an image.
Application of Hyperparameter Algorithms using Big Data Platforms

Algorithms in each step of data analytics application include hyperparameters that are independent of the data itself. The choice of hyperparameters is one of the most time-consuming parts of data analytics since it cannot be performed precisely without heuristic or empirical methods. This paper implemented hyperparameter selection algorithms: Simulated Annealing, Bayesian Search, Tree-structured Parzen Estimators, Differential Evolution, Basin Hopping on Spark, distributed big data processing platform. The performance is measured by comparing the results we get from each algorithm with the results of the Random Search algorithm. We have tested the scalability and ability for parallelization of algorithms.
Exact Solution of Navier-Stokes Equations

In Navier-Stokes equations (NASA’s Navier-Stokes Equations, 3-dimensional-unsteady), we discover the exact solution by Newton potential function and time-function. We think the solution likely Newton potential function that be able to solve Laplace equation.
University for Cops

With the crime graph soaring and criminals becoming more technology-savvy each day, smart policing is the need of the hour. But for this, India needs to overhaul the training of the force, teach skills to deal with new policing challenges such as cybercrime, improve the mechanisms in place to maintain law and order, encourage research and development and improve investigation abilities
Blockchain to Secure Data in Internet of Things (IoT)

Internet of Things (IoT) made a tremendous change in the field of automation technologies. Objects or things in the real world can be converted into a ‘smart object’ by attaching some sensors or actuators. These devices are capable of communicating with each other using the Internet. Lightweight protocols make the IoT system more user-friendly. But one of the critical challenges faced by any IoT designer is to provide the data security for IoT applications. Though the ‘things’ are connected to a network, there is a high chance of data stealing or data manipulation. Blockchain can be used to ensure data security, scalability and reliability of IoT applications. We propose a secure blockchain-based IoT architecture to ensure data security. Blockchain is utilized for tracking and coordinating millions of connected components. Blockchain uses a decentralized approach which can prevent single points of failures, thereby creates a stable interoperable secure system. Cryptographic algorithms can be used for securing the sensor data. Thus, our model enhances not only security but also the privacy concerns of an end user.
Rchon statistics course, part 2

This is part 2 of the Rchon statistics course. The purpose of this tutorial is to extend the application of R from basic data analysis and visualisation to formal statistical testing. In this tutorial, we will treat the following statistical testing methods: t-test ANOVA
Algoritma K-Means Untuk Analisis Presepsi Masyarakat Labuhanbatu Dalam Promosi Produk Berbasis Digital Pasca COVID-19

The Labuhanbatu community who do business by promoting products utilize digital products with 142 post-covid-19 business actors where the attributes used are the use of the internet, social media, and product promotion. A total of 47 people took advantage, and as many as 95 business actors did not take advantage of product promotion opportunities. The method used for clustering is the K-Means algorithm and the process uses the CRISP-DM model. It is known that the results are processed using the rapidminer tool.
Garnet geotherms: derivation of P-T data from Cr-pyrope garnets

Mantle xenoliths from kimberlites and other volcanic rocks are commonly quenched from mantle conditions, and their mineral chemistry is routinely used to locate the source of these rocks in pressure (P) and temperature (T) coordinates.However, these polyphase mantle samples are rare in many provinces, although remnants of disaggregated xenoliths can be found as discrete grains in heavy mineral concentrate collected during diamond exploration and mining operations.Garnets in these concentrates exhibit large ranges in major and trace element composition, reflecting lithology, P-T conditions and the effects of metasomatic processes in the mantle.Until recently, it has not been possible to place this information in a stratigraphic context, and the information content of concentrates could only be used in the most general way, to indicate the presence of some rock types and processes at some depth below a given volcanic field.
An Analysis of Conversational Implicature Found in “Up” Movie

This research aims to find out the types of Conversational Implicature and types of Maxims that found in movie. This analysis will be based on theory of Coorperative Principle proposed by Paul Grice. The objects of this research is a movie and the script of movie. This study is descriptive qualitative with the analyze the sentence.The result shows that types Conversational Implicature divide into two, Generalized and Particularized Implicature, which dominated is Generalized Conversational Implicature. This type more dominated because it is more effectively used in daily conversation. In daily conversation speaker and listener do not need background knowledge to understand the meaning of utterance. This research also analyze about Maxims, the researcher found types of Maxims, there are, Quantity, Quality, Relation and Manner. Maxim of Quality is more dominated because in daily conversation speaker and hearer needs the truthful information and have evidence.
Task Scheduling Management for Load Balancing Using Task Grouping Based on Cloud Computing

Managing task scheduling management in cloud computing is an essential part for the landscape of complex procedure tasks based on various resources in a proficient and scalable path. The aim of this research is to dynamically optimize the aforesaid issue of task scheduling. The task management improvises the imperfection algorithm by pursue on weighted fair queuing model, which is significantly effective compared to the existing method. A task scheduling model has been created to demonstrate the proposed scheduler management. Study shows the improvement in the adaptation of round robin and shortest job first algorithm performing better than the existing algorithm according to the differentiate execution measurements such as, turnaround time, task size and average waiting time. In addition, context switches play an important role in algorithm by sharing between multiple tasks and running task in the scheduler. Altogether, a significant improvement between existing algorithm and proposed studies follows up accordingly to a specific context switching takes place.
Proposed Innovations on Contact Tracing System using Contactless Smart Cards in the Philippines

Contact tracing is a process that is used to control the spread of diseases such as COVID-19 that was being processed manually in most of the areas of the Philippines. Technology-based approaches such as Quick Response (QR) Codes and Bluetooth had emerged to provide better solutions. However, these solutions require the use of smartphones, which can be a problem for countries such as the Philippines with a low smartphone penetration level. Contactless smart cards use Radio Frequency Identification (RFID) Technology, which is utilized in a variety of applications, among which is automating transactions, personal identity verification, and contact tracing in hospitals. This research explores the applicability of contactless smart cards in the development of a reliable contact tracing system. The study made use of a survey questionnaire to determine if smart card technology is perceived positively thus, acceptable to the users. Results of the data gathered presented a high adoption rate following a high overall rank in preference over the existing solutions in the Philippines which implies that the proposed solution is more likely to be accepted by users. © IEOM Society International.
Bitcoin versus central banks

As some countries move to accept bitcoin as official currency, other nations are likely to develop alternatives, says Matthew Sparkes
Klasifikasi Ulasan Pengguna Zoom Cloud Meetings Menggunakan Metode Information Gain dan Naïve Bayes Classifier

During the Covid-19 pandemic, ZOOM Cloud Meetings video conference application was felt to be of benefit. This is due to limited direct physical contact and all activities are carried out virtually from home. So that during the pandemic the ZOOM Cloud Meetings application was widely downloaded by various groups of people, and reaped various responses from users who complained on the Google Play Store. Complaints from user reviews can contain valuable information for application development. To obtain this information, user reviews of applications are classified based on the ISO 9126 category. ISO 9126 is one of the standards for evaluating software based on user satisfaction. The ISO standards used are functionality, efficiency, reliability, maintainability, portability, and usability. This study uses the CRISP-DM research methodology and for modeling in the classification applies the Naive Bayes Classifier and Information Gain. Information Gain is used for word conversion and data transformation from categorical to numeric and to reduce data dimensions. Naive Bayes is able to predict data to enter the classification class. Testing of the model applies manual and automatic k-fold cross validation testing. The results of the classification of the model in manual testing produce the best accuracy of 79% and the k-fold cross validation test is 80.51%. The existence of this accuracy value is expected to be a reference for developing the ZOOM Cloud Meetings application.
EFEKTIVITAS PEMANFAATAN MEDIA E-LEARNING DENGAN MOODLE DALAM MENJAGA MUTU PEMBELAJARAN SAAT BELAJAR DARI RUMAH

&lt;em&gt;Education is an effort to gain knowledge, expertise and competence. The journey of education cannot stop. The presence of Covid-19 has resulted in transformations in the education sector. Learning activities have to be done at home. The parameters of each component used in learning activities are expected to produce good results. Thus, the use of e-learning with Moodle. The target is for students to gain knowledge and good results. E-learning with Moodle is an option based on its internet-based work pattern. No place limit and no time limit. A vital evaluation step is carried out. Higher education institutions are required to be professionals. Higher education institutions also face evaluation from LLDIKTI. Internal evaluation is mandatory. All existing elements must be committed to carrying out these obligations. Accommodating agreed targets. Making students understand teaching material. Opening students' insights and thoughts. Students can complete it and get maximum results (sound). The research conducted will look at the effectiveness of using e-learning media with Moodle in maintaining the quality of learning when learning from home. The method used to conduct research is an experiment. The subjects of the Politeknik Unggul LP3M Medan students, the Informatics Management study program are 32 students. Found that the functional level and value accumulation using moodle-based e-learning media with the dynamics of learning from home can maintain and maintain quality. All learning activities go well as expected and targeted.&lt;/em&gt;
Application of Convolutional Neural Network (CNN) for the Prediction of Spam Mail

Spam mail has indeed become a global dilemma due to its coevolutionary nature. It has resulted in the loss of organizational resources, possibly financial cost incurred as well as time spent in addressing spam related issues. This has pushed organizations and researchers to the pinnacle of research with the aim of identifying needed solutions. This research paper explores the rich capabilities of Convolutional Neural Network (CNN) for predicting spam mail taking cognizant natural language capabilities. Spam mail prediction was simulated using a simulator built utilizing python programming language to capture the fundamentals of CNN. The CNN training was actualized using 10 epochs. The 1st epoch offers a training time of 4mins, 39s with a loss of 1.7578, accuracy of 0.3508, value loss of 1.2130 and value accuracy 0f 0.5719 while the 10th epoch presents a training time of 4mins, 6s with a loss of 0.5896, accuracy of 0.7936, value loss of 0.8941 and value accuracy of 0.6986.
A Fundamental Study of Digital Image Watermarking

As the use of internet is at peak now a days, with which people do communicate and interact with the things easily. Such kind of use of internet creates a huge demand of safety and protection of data. For such safety and security purpose, techniques like water making, cryptography etc introduced. With the help of these techniques we can protect the digital data. This survey will represent various aspects of digital watermarking like characteristics of watermarking, types of water marking technique, merits and demerits, applications, kinds, embedded and extraction process. Different algorithms will be considered while performing digital watermarking like DWT, SVD etc. For securing e-governance applications, this survey will be useful for the further researches and studies in implementing water marking technique.
GPU Based Toolbox for Fuzzy Logic System Using Whale Optimization Algorithm

Fuzzy Logic System (FLS) is an efficient method to solve engineering problems. However, the training of a Fuzzy Logic System is a time-consuming task. Optimization Algorithm can be used to optimize the rule base of any FLS. Out of Type-1 FLS and Type-2 FLS, the type-2 found to be more effective to deal with noisy data. Due to their computational requirements Interval Type-2 (IT2) has been preferred over General Type-2. Whale Optimization Algorithm (WOA)has been introduced recently. The algorithm has been tested on different engineering problems and is found to be more effective. General Purpose Computing using graphics Processing Unit (GPGPU) is a new way to solve compute intensive problems on Graphics Processing Unit (GPU). CUDA-C is a parallel language that can be used to execute parallel code NVIDIA GPU. This paper integrates IT2 FLS, WOA and Processing Power of GPU. A toolbox is proposed that can be used to optimize the rule base in parallel. The toolbox provides both the implementations, i.e. serial and Parallel. FLS WOA Toolbox is design in such a way that user can pass parameter dynamically according to their need without interfacing with the code.
File fingerprinting of the ZIP format for identifying and tracking provenance

While the overall structure of ZIP files is defined, their detailed structure differs depending on the operating system and application creating the file. These characteristics are also affected by the environment in which the file was first created or later modified. Conversely, analyzing the structure of ZIP files allows the determination of the environment it was created in, and this can be the basis for determining where the file was created through analyzing and comparing the user's PC. In addition, the creation, modification, and access time values of decompressed files are set differently according to the application used for decompression and the structure of the ZIP file. ZIP files reflect not only the environment in which they are created but also the one in which they were decompressed. Thus, the ZIP files' detailed structures and characteristics should be analyzed forensically. In this paper, it is suggested that the environment of file creation and modification can be inferred by analyzing the detailed structure of a single file by file fingerprints, and the characteristics of decompression can be compared with the applications installed on the system.
Implementation of Mail Server Based Of Squirrelmail Using Virtualization Technology at Universitas Muhammadiyah Sumatera Utara

Server virtualization technology is the use of one physical machine by several server operating systems. The design and implementation of this mail server was built using Debian.5 as the base operating system server. The design and implementation of mail servers is built using the dns server, web server and mail server / squirrelmail, configured using the help of the virtualbox application as a server. DNS (Domain Name System) is a system that stores information about host names and domain names in the form of scattered databases (distributed databases) on a computer network, for example the Internet. The application used to handle the delivery of mail messages is the mail server. This mail server always receives messages from e-mail clients that the user uses, or maybe from other e-mail servers. Web mail functions to send and view e-mail messages through a web browser. The squirrelmail configuration is done by running the conf.pl: $ / var / www / wemail / config / conf.pl script. Exchange Server services include: Directory Service, Simple Mail Transfer Protocol (SMTP), Post Office Protocol (POP3), IMAP (Internet Message Access Protocol), Complementary Services, System Attendants. For Mail Server Delivery Process can be seen in number5.2.
Python-based crawler recruitment website program defects and visual analysis-taking 51job recruitment website as an example

With the development of science and technology such as the Internet, and the explosive growth of the amount of information, we generate data all the time every day. Obviously we have come to the era of big data. Because we have a sufficiently powerful amount of data, our research can not only be carried out in the main part of the normal distribution, but also makes it possible for the long tail part to become a part of our research. Therefore, data mining is particularly important among them, and it has become one of the main directions of research today. Combined with the current hottest employment issues, this article mainly studies how to use Python, a programming language with a rich language library and powerful computing functions, to crawl the recruitment information process of the largest recruitment website 51job, based on the large amount of information crawled You can find effective information and conduct specific research on employment positions, regions, positions, salary and other directions.
SISTEM MANAJEMEN ASET DENGAN METODE GARIS LURUS

Technological developments and advances have a major influence on the business world and the world of education, especially in the field of computerization, used as data processing and obtain accurate information to be used as a decision. Schools in the Ungaran area are institutions or agencies engaged in education. Asset recording in these schools has been computerized with Microsoft Excel, but it is not optimal yet. The Maintenance Repair Information Technology (MRIT) division still uses bookkeeping in serving borrowing and returning assets, resulting in less effective and less controlled amount and condition of assets.The purpose of this study is to provide solutions to problems related to the asset inventory system of schools in the Ungaran area. The results obtained from this study are in the form of an asset inventory system using a web-based straight-line method. The system was built using the PHP (Hypertext Preprocessor) programming language and MariaDB as the database. The straight-line method is used in this study to calculate the depreciation of assets to determine the value of assets after experiencing depreciation. The MRIT section can easily find out the condition of the asset and the replacement time of the asset. ome of the features in the system include asset recording, borrower data, loan data and asset returns, asset depreciation and reports. The results of the research are that the presentation of asset data reports becomes more effective because they do not have to open several old documents. Asset replacement time can also be known easily.
Cloud Computing Issues, Challenges, and Needs: A Survey

Cloud computing represents a kind of computing that is based on the sharing of computing resources instead of possessing personal devices or local servers for handling several applications and tasks. This kind of computing includes three distinguished kinds of services provided remotely for clients that can be accessed by using the Internet. Typically, clients work on paying annual or monthly service fees for suppliers, in order to gain access to systems that work on delivering infrastructure as a service, platforms as a service, and software as a service for any subscriber. In this paper, the usefulness and the abuse of the cloud computing are briefly discussed and presented by highlighting the influences of cloud computing in different areas. Moreover, this paper also presents the kinds and services of cloud. In addition, the security issues that cover the cloud security solution requirements, and the cloud security issues, which is one of the biggest issues in recent years in cloud computing were presented in this paper. The security requirement that needs by the cloud computing covers privacy, lack of user control, unauthorized secondary usage, and finally data proliferation and data flow. Meanwhile, the security issues cover including ownership of device, the trust issue and legel aspects. To overcome the security issues, this paper also presents the solution at the end of this paper.