Reviewerly/exHarmony huggingface dataset:
Enhancing Cooperative Coevolution for Large Scale Optimization by Exploiting Decomposition Solutions

Problem decomposition plays a vital role in ensuring the performance of cooperative coevolution (CC) for large scale global optimization (LSGO). However, existing high-precision decomposition algorithms require evaluating numerous solutions generally generated in a fixed style and directly abandon them after the decomposition process. This leads to the waste of many computation resources. Directing against this issue, this study attempts to sample decomposition solutions in a local-search manner such that these solutions not only satisfy the decomposition requirements but also possess high quality, and thus can provide a good initial population for the subsequent optimization process. Following this research idea, this study develops a new decomposition algorithm named recursive differential grouping with local search ability (LS-RDG) by embedding the Solis Wets local search operator into the recently developed RDG algorithm. LS-RDG can obtain more promising solutions without consuming extra fitness evaluations. Comprehensive experimental results on two widely used LSGO benchmark suites verify the effectiveness of LS-RDG and indicate that LS-RDG can help CC achieve better optimization performance.
PROFESSION OF RECORD MANAGER IN THE MODERN INFORMATION TECHNOLOGY ENVIRONMENT

The article explores the current state and prospects of the profession of document science in Russia. It describes the requirements for a modern specialist in the field of records management and archives, as well as the quality of his / her training at a higher educational institution. The author identifies the reasons that determine the demand for this profession in the conditions of development of electronic document management tools.
Sistem Prediksi Rata-Rata Pemakaian Bahan Bakar Minyak Berbasis Web Menggunakan Algoritma Naive Bayes (Studi Kasus : PT. Hijrah Insan Karima)

Companies must be able to take advantage of their assets for the progress of the company without anything that harms or hinders the progress of the company. Then began to develop a system that can help companies monitor their resources, in this case assets owned in the form of vehicles and human resources, the system is a group of elements that are integrated with the same intent to achieve a goal. Then made a web-based prediction system that applies the Naive Bayes Algorithm in predicting the average fuel consumption of PT. The Migration of the Karima People. In the process used methods consisting of observation, interviews, literature study to find the required data, data testing and system development using the Waterfall method. In this way, it will be easier to monitor, analyze and determine strategies that will be implemented in the future based on the existing track record. The average standard value for the criteria for the type of car and fuel has been found to be in a ratio of 1:7 double cars, 1:8 ankle cars, (1:11,1:10,1:9) small cars. With a web-based system and the Naive Bayes Algorithm, it will make it easier to monitor the fuel consumption of each operated fleet
Effective adaptive watermarking system: AWS

In this paper, we focus ondevelopingAdaptive Watermarking System (AWS) Based on the recognition of word that appreciated an interest in the subject. The major objective of this study is to simplify the encoding and embedding of watermark within the digital image i.e. hard to traced, robust against heterogeneous attacks such as cropping, scaling, rotation, and Gaussian based noise attack etc.. Also, without affecting the image quality and maintain PSNR and NCC value.
Graph embeddings for deep learning in general game playing

General Game Playing agents can play many different games. They take as an input a description of a game written in a Game Description Language (GDL) and then infer a proper strategy for playing that game. Typically this includes learning a value function for evaluating the merit of game states, for example, by using a neural network. In this work we investigate whether more effective neural networks-based state evaluations can be built by feeding the networks not only with positions describing the game states but also a graph-based embedding of the game rules (derived from GDL). The game rules are encoded as either Rule Graphs or Propositional Networks, and then we experiment with several different graph-based embeddings for encoding the graphs. The result shows that such an approach has promise, but care must be taken in choosing an appropriate embedding.
Pengukuran Tingkat Keselarasan Tata Kelola Teknologi Informasi Menggunakan Framework COBIT 5 Pada Dinas KOMINFO Kota Bitung

Abstract - Information technology is an important resource for enterprises. In addition, information technology also plays an important role in improving information in the enterprise, public, social and business environments. COBIT 5 is one of the many frameworks that provide comprehensive framework services to help government and IT management within an agency, whether a government agency or a company, to achieve the expected goals.Information technology governance analysis is defined as an activity or decision-making activity using an accountability framework. Information technology governance includes culture, organization as well as regulations and practices which can later produce a monitoring system and ensure transparency in the use of information technology.Keywords: COBIT 5 Framework, accountability framework, Technology, Information, Measurement, AnalysisAbstrak - Teknologi informasi termasuk salah satu sumber daya yang penting bagi enterprise. Selain itu teknologi informasi juga memegang peran penting untuk peningkatan informasi pada enterprise, publik, lingkungan sosial dan lingkungan bisnis. COBIT 5 merupakan salah satu dari sekian kerangka kerja yang memberikan layanan framework secara komprehensif guna membantu pemerintah dan manajemen TI dalam suatu instansi, baik instansi pemerintah atau sebuah perusahaan untuk meraih tujuan yang diharapkan.Analisa tata kelola teknologi informasi di artikan sebagai suatu kegiatan atau aktifitas pengambilan keputusan dengan menggunakan kerangka kerja yang dapat dipertanggungjawabkan (accountability framework). Tata kelola teknologi informasi mencakup budaya, organisasi serta peraturan dan praktek yang nantinya dapat dihasilkan sistem pengawasan dan terjaminnya transparansi dalam pemanfaatan teknologi informasi.Kata Kunci : Framework COBIT 5, accountability framework, Teknologi, Informasi, Pengukuran, Analisa
Pulse shaping using diffractive optical networks designed by deep learning

We utilize diffractive optical networks to design small footprint, passive pulse engineering platforms, where an input terahertz pulse is shaped into a desired output waveform as it diffracts through spatially-engineered transmissive surfaces. Using 3D-printed diffractive networks designed by deep learning, various terahertz pulses with different temporal widths are experimentally synthesized by controlling the amplitude and phase of the input pulse over a wide range of frequencies. Pulse width tunability was also demonstrated by changing the layer-to-layer distance of a 3D-printed diffractive network or by physically replacing 1-2 layers of an existing network with newly trained and fabricated diffractive layers.
Analisis Tingkat Kejahatan Pada Anak Dibawah UmurMenggunakan Metode Fp-Growth

Crimes in minors are a series of guardian actions or negligence by parents who endanger or pose a dangerous threat to the child. The purpose of this study is to implement Data Mining, Association rule, andthe FP-Growth Algorithm in cases of crime of minors so that they can extract knowledge and important and interesting information from the database. The data source used is raw data that has not been processed andis a crime data on minors which is summarized in the form of a report from the West Sumatra Regional Police. The results of this study are in the form of software by analyzing data collected using the FP-Growth Algorithm and using the concept of FP-Tree development in searching for Frequent Itemset, for testing the results carried out with applications that have been designed namely the Php programming language. The results of testing are obtained from associations of crime cases that often occur in minors. So it can be seen that data mining using the Fp-Growth Algorithm can be used to analyze cases of crime in minors as a consideration for the police in order to know the ins and outs of crime in children so that it can assist the investigation process.
E-COMMERCE PRODUK KERAJINAN TANGAN DESA BULUH KASAB:

Buluh Kasab Village is one of the villages in Sungai Rengas Village, Kec. Maro Sebo Ulu, Kab. Batang Hari, Jambi. This village produces handicrafts in the form of caping hats, screwpine leaves mats, beaded bags, etc. Made by Youth Organization members, Buluh Kasab Village. In this case Buluh Kasab Village is used as a research location because so far the sales system, data collection, and sales reports are still using the old system by using the agenda book as a tool to collect goods and produce sales reports, a relatively narrow on market share. making the process of selling craft products less smooth. The purpose of this study is to build an E-Commerce system to facilitate  Youth Organization to process goods data, expand market share to produce reports on sales of handicraft products. Input in this system is in the form of customer data, item data, shipping data, transaction data and item category data. In this system there is a process of entering data, processing transaction data, making reports on stock data, reports on sales results. Output of the E-Commerce system are sales reports, transaction data reports and stock data data reports. E-Commerce system is expected to be able to help  Youth Organization in Buluh Kasab Village in improving the sales process and data collection in a more detailed and detailed way and can expand market share.
Research Guides: Using Muntz Library Online: Library Logins and Off-Campus Access

Have questions about using the library resources or services online? This guide is here to help!
Literasi Digital Melalui Penggunaan Media Google Play Books Pada Mahasiswa

The objectives of this study are: (1) knowing students' digital literacy skills, (2) students' skills using google play books media for Children's Education in Families lectures. Research methods using surveys. Qualitative descriptive data analysis techniques. The findings of the study: (1) digital literacy skills on the criteria both on the aspects of confidence and responsibility and communicative; digital literacy skills on sufficient criteria on aspects of social culture, digital literacy knowledge, constructive, creative, critical, collaboration; (2) the use of google play books media on the criteria both on the aspects of data archiving skills, indexation, downloading, copying, printing, and payment of online book purchases. Conclusion: (1) students' digital literacy skills are sufficient, (2) skills using google play books application media are good.
The Lugg / Amirah Afifah Mohd Falil

Nowadays, people always choose the products that make their life easier. Thus, our company produce The Lugg which is smart luggage. The luggage has many features. For example, it has GPS luggage tracker which is to avoid users lost their luggage. Besides, it also has removable power bank which is the user can charge their smart phone whether it is attached with the luggage or not. Other than that, the smart luggage offers Touch ID lock and code combination lock which the users can choose how they want to secure their luggage. The target market of this product is university students, workers and most importantly travellers. These three groups share the common characteristics which is they travel from one place to another. Most of them use public transport or flight to travel. Thus, the questionnaires are distributed to these groups of people. However, anyone that travels can respond to the questionnaire. There are several competitive advantages of this product. One of them is the product can save time and energy because the users can easily organize their items inside the luggage. Besides, it is also easy to use. All ages can use this luggage since it is user-friendly. Other than that, this smart luggage has higher security because it has Touch ID and code combination lock. The profitability was assumed by the company increases by 10% year by year. The price of this smart luggage is RM513 which is affordable as it follows the trend and technology. This company consists of General Manager, Operational Manager, Financial Manager, Marketing Manager and other employees. The employees have their own roles and responsibilities in order to make sure the business run smoothly.
Traffic Analysis Using Artificial Neural Network

The vehicle traffic on the road is increasing progressively and managing such traffic on the roads are not stable by conventional method. To remove this traffic issue, we develop a project using machine learning in which we train the testing model as well as trained model of extracted traffic features. Extracted information from image sequences of testing model can give us real information to create the database which is the captured images like accident, foggy places, collision of the vehicles, traffic signal, no traffic jam, treefall etc. Choose any traffic image from the testing model, process and analyze the traffic image and the traffic image which was taken from the testing model is compared with the trained model of traffic images to determine the cause of the traffic. Image processing will be done to determine the cause of the traffic. This project is utilizing image processing methods designed to analyze and determine the cause of the traffic with the accuracy of the traffic caused. Thus, by using this project we can avoid the traffic and the time being wasted.
Super Resolution Based an Adaptive Two Pass Normalized Convolution Using Multiple Low Resolution Images

Super resolution (SR) using signal processing is technique to identify the missing high frequency contents due to limitations of imaging hardware, accomplished by using spatio-temporal information available from LR images. The multi-image SR methods effort to reinstate High Resolution (HR) image commencing numerous wraparound artefacted and degraded Low Resolution (LR) images. In past three decades various researchers contributed in the field, but all are intuitive SR mechanisms. The proposed SR method is based on several LR images of the sight to be super resolved. Registration step of SR applies Keren’s algorithm which is iterative and more accurate. Registration algorithm findings include both translational and rotational motion parameters, where rotation angle is obtained by using an affine transformation produced using Gaussian pyramid. The reconstruction is accomplished by structure-adaptive Normalized Convolution with double pass (SANC-D), using first robust and then adaptive approach. Subjective and objective analysis of the results of reconstruction indicates that the algorithm gives better super resolution images than the others at the expense of execution time of algorithm and it is system dependent.
LibGuides: Pages Book Clubs: Blind Date With a Monster Book Club - Fall 2021

This unique book club will be different from the other book clubs than we've done in the past!
Traditional Cryptocurrencies And Fiat-Backed Digital Currencies

The digital payments space saw vigorous investment activity during 2020 and there have been a plethora of announcements about account based Central Bank Digital Currencies. The cryptocurrency market can be roughly divided into two segments: traditional cryptocurrencies and fiat-backed digital currencies, including stablecoins and central bank digital currencies. 2021 may be the year we see the world’s first sovereign digital currency. China’s digital yuan or DCEP (short for Digital Currency/Electronic Payments) looks to be nearing completion. DCEP allows China to push forward into the digital era, while still retaining control over its financial instruments. The European Commission and European Central Bank are working together to investigate the policy, legal and technical questions emerging from a possible introduction of a digital euro. But creating a digital currency is actually the easy part. What is more important is how it is linked into the wider ecosystem to ensure the circulation of money and cash flows. Digital currencies are likely to have big implications for the role of central banks and retail lenders and could change the face of the entire financial system.
Unsupervised learning in a purely spintronic multilayer perceptron enabled by four-terminal domain wall magnetic tunnel junction neuron

We propose a four-terminal domain wall-magnetic tunnel junction (DW-MTJ) neuron that enables the first-ever purely spintronic multilayer perceptron with unsupervised learning. The leaky integrate-and-fire neuron has a ferromagnetic DW track coupled to a binary MTJ by an electrically insulated layer. Current through the DW track performs integration by moving the DW. Leaking occurs by moving the DW in the opposite direction of integration due to either dipolar magnetic field, anisotropy gradient, or shape variation. When the DW passes underneath the MTJ, it fires by switching between the resistive and conductive states. In a crossbar perceptron, the DW track of each neuron is connected to the analog three-terminal DW-MTJ synapses and the MTJ terminals cascade multiple layers. Finally, an unsupervised learning algorithm results from the feedback between the neuron MTJ and the analog synapses, providing best results of 98.11% accuracy on the Wisconsin breast cancer clustering task.
Pedestrian trajectory forecasting in automated driving systems

In recent years machine learning has become even more diffused in very different applications; especially deep learning techniques, in combination with modern sensors such as lidar, GPS, radar and cameras, allow to develop on-vehicle systems able to help humans in preventing accidents while driving. The aim of this thesis is to investigate the use of the scene information in an Automated Driving scenario for trajectory forecasting. This work is part of a project carried out by CRF (Centro Ricerche Fiat) and Politecnico di Torino with the objective of developing a module for self driving cars, able to detect and track all pedestrians in the surrounding area of the vehicle, to perform trajectory forecasting, and to elaborate a future path plan based on the predictions, in order to safeguard all the road users. Working on one of the most famous dataset for AD (nuScenes), which provides also high definition semantic maps, this map information has been elaborated and encoded as input of an existing lstm network (developed by my colleagues working on this project) able to consider also the body and head pose and the social interactions. Some other modification has been introduced, with the final goal of improving the accuracy of trajectory forecasting.
LibGuides: Cataloging Manual: Catalog DVDs, Games, and CDs

The Northwest Arkansas Community College Cataloging Manual. Cataloging DVDs, games, and CDs mirrors the same process as cataloging a book, but there are a few differences.
PENGARUH MEDIA VLOG DENGAN MODEL ARIAS (ASSURANCE, RELEVANCE, INTEREST, ASSESSMENT, SATISFACTION) TERHADAP KETERAMPILAN KOMUNIKASI VERBAL SISWA DALAM PEMBELAJARAN IPS

The Influence of Vlog with the ARIAS (Assurance, Relevance, Interest, Assessment, Satisfaction) Model on Students Verbal Communication Skillin Social Studies LearningABSTRACTOne dimension of social studies learning is the skill dimension, which includes communication skills. This research focuses on verbal communication in which the delivery of messages through writing and orally. The purpose of this study was to examine and see the effectiveness of the vlog media with the ARIAS model on verbal communication skills of students at SMP Muhammadiyah 6 Bandung. The research method uses a pre-experimental method with the one-group pretest-posttest design. The sample of this study is students of class VIII-A SMP Muhammadiyah 6 Bandung. The instrument used in this study was a test. After the data is collected then it is processed using a hypothesis test or t test using the SPSS v20 application. Obtained the analysis results there are changes in students' verbal communication skills between before and after using vlog media treatment with the ARIAS model. Differences in students' verbal communication skills are based on hypothesis testing, the significant value (sig 2-tailed) is 0,000 < 0.05, so H1 is accepted or H0 is rejected and the hypothesis is accepted. So it can be concluded that the vlog media with ARIAS model in social studies learning is effective for improving verbal communication skills of students of class VIII-A of SMP Muhammadiyah 6 Bandung.Keywords: Vlog Media, Verbal Communication, Social Studies Learning.
THE INFLUENCE OF LEARNING STRATEGIES THROUGH SINGING ON IQRO’ READING ABILITY EARLY CHILDHOOD

This study aims to determine the steps, processes and the influence of learning strategies through singing on Iqro’ reading ability of early childhood in RA Ummul Qura Stabat, Kabupaten Langkat. The research subjects were teachers and students in group B with a population of 20 children with a sample consisting of two classes, namely B1 with total 10 children as the experimental class and B2 with total 10 children as the control class using purposive sampling technique. Data collection techniques through observation, interviews and documentation. The data analysis technique used the statistical analysis of the mean difference test with the t-test. Comparison of the results of the experimental class pretest and posttest using the t-test obtained thitung = 35, 850 because the value (Sig. 2 tailed) = 0,000 < 0,05, it can be conclude that there is a significant effect after using learning strategies through singing on children’s Iqro’ reading skills. Thus, H0 is rejected and Ha is accepted, which means that in this study there is an influence on the children’s Iqro’ reading skills after implementing the learning strategy through singing in the experimental class group B at RA Ummul Qura Stabat amounting to 91,94%.
Towards Ethical Hacking—The Performance of Hacking a Router

The increase and advancements of network technology play a significant role in the lives of us. This is through homes, businesses and people in a professional and social capacity. The way we use technology in everyday life aids the friendships, achievements and entertainment parts of our day to day life. This makes the fundamental device in the network important to every one of us for conducting our day to day life–that device is the router. Much like a fridge or cooker would have in the 1950 s, the router is considered as a critical device in the home and business setting. This paper aims to demonstrate a penetration test documentation of a standard home or small business Router–TP-Link WR940N by using the operating system Kali Linux 2019/2020. The main aim of the paper is to show the extent of what someone can do and the lengths someone can go from essentially sitting outside your house in a car with a raspberry pi, a Wi-Fi adapter, a seven-inch screen, and a travel battery for power.