Reviewerly/exHarmony huggingface dataset:
An Improved Clustering Algorithm Based on Cluster Weight Coefficient

Clustering algorithms are typical unsupervised machine learning algorithms, which are widely used in many fields. As a popular clustering algorithm, K-means has a good performance, but it has difficulties in determining initial clustering centers and the number of clusters. Canopy algorithm is often used to support K-means as a coarse clustering process. The results obtained from Canopy are set as the initial clustering centers of K-means. However, the thresholds of Canopy are often randomly selected, which makes the clustering result inaccurate. In this paper, we improve the threshold selection of the traditional Canopy and the criterion function of the traditional K-means. As a result, a novel Cluster-Weight-based Canopy-Kmeans (CWC-Kmeans) is proposed. In order to evaluate the proposed algorithm, comparison experiments are conducted with UCI standard datasets and bearing nonstandard dataset. By typical clustering evaluation indices, CWC-Kmeans has better clustering results than the traditional Canopy and the traditional K-means. Thus, the superiority of CWC-Kmeans is proved.
Design and Development of a Modified Artificial Bee Colony Approach

The traveling thief problem (TTP) is a benchmark problem that consists of two well-known problems, the traveling salesman problem (TSP) and the knapsack problem (KP). It was defined to imitate complex real-world applications that comprise different interdependent sub-problems. Various approaches were proposed in the literature to solve such a problem. These approaches mostly focus on local search algorithms, heuristics methods and evolutionary approaches. In addition, some of these approaches concentrated on solving the problem by considering each sub-problem independently. Thus far, limited approaches were proposed to solve the problem using swarm intelligence. In this article, the authors introduce a modified artificial bees colony (ABC) algorithm that addresses the TTP in an interdependent manner. The performance of this approach was compared with various recent approaches in the literature using different benchmark instances. The obtained results demonstrated that it is competitive with the state-of-the-art approaches, especially on small and medium instances.
Super-Resolution Based on Back-Projection of Interpolated Image

Image upscaling to obtain high quality digital image is one of the active research topics as it is applicable in the consumer electronics industries. Traditional image upscaling techniques have low computational complexity and applicable for real-time processing, but reconstructed image often contains artifacts and undesirable visual effect. The relationship between image interpolation and super-resolution leads our assumption that the interpolated image can be further optimized and may be considered as a part of super-resolution algorithm. In this paper, we propose a new image super-resolution method to combine fast image interpolation with iterative back-projection. This method does not require any external pre-trained datasets and has low computation time while the quality of the reconstructed image can be measured up to the high programming complexity methods such as the dictionary and deep convolutional neural networks.
Wykorzystanie systemów ERP w dydaktyce szkół wyższych w dobie koncepcji Przemysł 4.0 i Logistyka 4.0

The article presents challenges faced by higher education didactics resulting from the development of new concepts, Industry 4.0 and Logistics 4.0. In this context, there is now a research problem in how to conduct the didactic process, to be related to the real issues of the production companies and the TSL industry that occur in the everyday life of a company. The article may be an aid in choosing a modern ERP class system for the needs of the didactic process in a higher education institution, which should support a sequence of integrated procurement processes, production and distribution of goods as part of the Industry 4.0 and Logistics 4.0 concept. The selection process presented in the article should include the formulation of requirements regarding the selection of the appropriate ERP system by the university, the choice of the system and the parameterization of the solution to the specifics of the didactic classes along with the development of the laboratory schedule.
Design of Practical Information Multidimensional Integration System for Higher Vocational Ideological and Political Courses Facing Big Data

In view of the fact that the current information integration system can not quickly integrate a large number of chaotic practical information, this paper designs a multi-dimensional integration system of practical information for ideological and political courses in higher vocational colleges. The main control chip, TMS320C6748, is used to control the whole operation of the system. The physical server stores the information data and communicates with the serial port to transfer the data. Through the method of FPGA, the cluttered practical information data is filtered. According to the principle of Bayesian algorithm, the filtered information data is classified and the information data is preprocessed. In the SQL database, XML technology is used to parse and transform the pre-processed information and data. The data transformed into XML format is unified. According to the set multi-dimensional integration rules, data streams are split in the middle layer of the database and then merged is omorphically and heterogeneously. The data is loaded and stored in the integrated database, and finally the integration of information and data is completed. The design of multi-dimensional integration system is completed through hardware and software design. Comparing with the current information integration system, the experiment verifies the speed of information integration time of the designed multi-dimensional integration system. When integrating different amounts of practical information, the integration time of the designed multi-dimensional integration system is about one third of that of the current information integration system.
Assessment of Monocular Optic Flow Analysis for Ballistic Trajectories

This paper describes a preliminary study to assess the potential optical-flow performance of a simple on-board camera to provide a low cost navigation solution for unmanned systems such as drone aircraft or other types of projectiles. For decades, complex electronics systems such as the Global Positioning Systems (GPS) and sophisticated inertial measurement units equipped with rate-gyroscopes and accelerometers have proven to be very accurate for navigation updates. However, these systems are costly and may be prohibited from proper function under adverse conditions. For this study, 3D scene generation software developed by Diamond Visionics was used to simulate the view of a forward-looking camera system during a ballistic descent. The algorithm tested for this study does not perform geo-registration to match known locations on the ground from reference imagery, but instead relies only on knowledge of the intrinsic parameters of a properly calibrated camera/lens system for measuring orientation updates and has the potential to measure changes in absolute position provided that another source of velocity (such as a priori estimates or additional sensors) is available. Preliminary results show that reasonable estimates for projectile position and angular rates can be made. These results are made even more accurate when using a tuned bundle adjustment algorithm.
Growing a Mind and Learning to Play

So far in this book, you have read about a couple of different types of algorithms that can be used to play a game in some sense —in particular, the minimax algorithm for board game playing in chapter 2 and the finite state machines and A∗ search for FPS bots in chapter 4. These algorithms are designed by humans and integrated by humans into the complex software systems we call video games. Building such systems is often what creating AI is about: assembling various components (algorithms) so that they support each other, tuning them to work well in concert, testing how the final product works, and then going back and redoing things—like you would build a bike, a water pump. or an electronic circuit. Constructing such AI is a craft and a relatively pedestrian activity that does little to appeal to the romantic mind drunk on the promise of artificial intelligence that learns on its own and decides for itself. 1 Also, and perhaps more important, it's a labor-intensive and therefore expensive process that any game developer (or anyone else depending on some degree of artificial intelligence in her product) would love to see automated.
Studies of energy contribution input by electromagnetic wave radiation by a circular black body, heated using a Solar paraboloid concentrator.

This work is based on the field of energy physics and particularly affects solar energy which is new and renewable to heat a circular black body placed at the focus of a dish concentrator. The principle chosen to study the energy input of the heated body is limited to the analysis of the radiation, without taking into account the thermal conduction in the air and the thermal convection in the materials. To ensure the reliability of numerical calculations and graphical representations, the MATLAB software was chosen for all operations and programming. In these cases, the results obtained are analyzed and interpreted according to the magnitudes of the constituent elements of the system (paraboloid, blackbody) and discussed according to the effect of the presence of the atmosphere on the solar constant or in its absence. This study allows researchers to determine the color of a heated body at a given temperature by studying Planck's function. For the two black body shapes studied, the wavelength calculations correspond to the maximum values of the luminances making it possible to prove that this color belongs to the Infrared (IR). For this study, we set the dimensions of the solar concentrator (height, focus), the black body and that of gray, taking into account that the latter is smaller in order to neglect radiation losses. We find that the black body heated in our study emits Infrared.
Legal Definitions and a Short Case Study

This chapter engages with legal definitions of hate crime, and their subjective interpretations in both formal and wider contexts. Since the types of activity that we are primarily concerned with amount to criminal offences and are dealt with by various key agencies in terms of its specific legal meaning, we cannot ignore how legislation defines hate crime and hate speech. Nor can we ignore how such official formal definitions are subject to rival interpretations and both selective and discretionary enforcement. By setting out formal legal definitions and juxtaposing these with a case study of a perceived offence on a railway station, twin elements of our phenomenology of hate crime will begin to emerge. In particular, the descriptions provided by our intuitively rich experiential case study raise a series of issues that our later chapters tackle in a more concerted fashion. We argue that these two sections counter-balance each other’s tendency towards offering only a one-sided impression of this topic.
Analysis of Possibilities for the Establishment and Implementation of Cyber Security in the Republic of Croatia

The Republic of Croatia has initiated the establishment of cross-institutional cooperation through the formation of two strategic working bodies (Council and Coordination) which have been tasked with liaising public and state authorities in effective protection from various types of cyber threats. Collaboration has been particularly active in the areas of defense, internal affairs and national security, but also among of all other bodies related to global or regional cyber security threats. The aim is to position the Republic of Croatia, independently and as an EU member, in terms of security. In the upcoming years, the public authorities will face many obligations and challenging tasks with a greater need for mutual cooperation and co-ordination. This paper provides a methodology for setting up key bodies, addresses current issues and analyses one area in the National Security Strategy (section 4 - Critical Communication and information infrastructure and cyber crisis Management).
Implementasi Metode SAW Pada Sistem Informasi Penyeleksian Peserta WUBI

Abstract - The BI Entrepreneurship Program is an annual Bank Indonesia Tasikmalaya Program with the aim of producing entrepreneurs who are quality and sustainable with a lot of knowledge from starting their respective product introductions to the Promotion Strategy. Participants who qualify for WUBI Selection will get funding from BI as the business capital of the participants. In the WUBI Participant Selection Implementation they still use a conventional system so that the WUBI Participant Selection Process takes a long time so it is not effective and efficient. Existing computerization systems that have not been computerized often cause difficulties in finding participant data because they still use files or documents. Solution to the problem in the selection of WUBI Participants, the authors designed the WUBI Participant Participation System based on the website and the Selection of Participants using the SAW Method using four criteria, namely Business Survey, Innovation, Creativity and Financial Managerial as supporting criteria for WUBI Participant Selection.&#x0D; Keywords: SAW, selection information system, WUBI
A Framework to Reveal Clandestine Organ Trafficking in the Dark Web and Beyond

Due to the scarcity of transplantable organs, patients must typically wait on long lists for many years to get a matching kidney.This scarcity has created an illicit marketplace for wealthy recipients to avoid long waiting times.Brokers arrange such organ transplants and collect most of the payment that is sometimes channeled to fund other illicit activities.In order to collect and disburse payments, they often resort to money laundering-like schemes of money transfers.As the low-cost Internet arrives in some of the affected countries, social media and the dark web are used to illegally trade human organs.This paper presents a model to assess the risk of human organ trafficking in specific areas and shows methods and tools to discover digital traces of organ trafficking using publicly available tools.
Branching with Azure Git Repos

Azure Git Repos is a distributed version control system that offers a great deal of flexibility to developers in how they use version control and share and manage code. Teams can use the tool to come up with consistent strategies to collaborate. Azure Git Repos branches help to isolate, review, share, and publish code when working with team members. You can adopt a branching strategy that suits your team’s needs so that your team can collaborate in a consistent manner, spending less time on version control management and more on code development.
A Simple Tank Retrofit Can Better Prepare Firefighters and Utilities

One great benefit of being the utilities operations and maintenance manager for the city of Hayward, Calif., is that I have the great opportunity to work with the city's Fire Department. Recently, the city's Utilities and Fire departments worked together on a potentially lifesaving fix: allowing local firefighters easy access to water storage tanks.
Research on Multi-level Distributed Storage Method of Economic and Financial Management Database

In order to improve the security of economic financial management data storage, a multi-level distributed storage encryption algorithm of economic financial management database based on piecewise fusion encryption and information clustering is proposed. Under the arithmetic coding key encryption system, the data distributed structure model of economic financial management data storage is constructed, and the encrypted statistical characteristics of economic financial management data are extracted. The homomorphism data fusion method is used to deal with the fuzzy clustering of economic and financial management data, and the fuzzy C-means clustering method is combined to carry out the piecewise fusion scheduling of economic and financial management data. The chaotic arithmetic coding scheme is used to design the economic financial management data storage encryption in the segmented interval, and the encryption key and decryption key are constructed based on piecewise fusion encryption and information clustering. Realize the multi-level distributed storage design of economic financial management database. The simulation results show that the distributed storage and encryption design of economic financial management data is well integrated, the ability of anti-deciphering is strong, and the security of economic and financial management data is improved.
Knowledge Graph Based Semi-automatic Code Auditing System

Aiming at detecting various vulnerabilities in Web application system based on PHP language, a semi-automatic code auditing system based on knowledge graph is proposed. Firstly, the abstract syntax tree of each file in the Web application system is constructed to extract the taint variables and function information from the abstract syntax tree and construct the global variable information. Secondly, the data flow information of each taint variable is analyzed accurately. Finally, the knowledge graph and code auditing technology are combined to construct and display the vulnerability information of the Web application system in the form of graph. Experiments and analysis results show that this detection method can well construct and display the data flow information of each taint variable and help auditors find common vulnerabilities in Web application systems more quickly.
Attention Network for Product Characteristics Prediction Based on Reviews

Online reviews are now widely used in e-commerce and other websites, which can provide rich information about products to consumers or potential consumers. In reality, consumers often get more information about products from reviews and find the more suitable products for themselves. However, reading a lot of reviews is obviously a waste of time for customers. In recent years, researchers have begun to study how to extract critical information from reviews through machine learning as reference information for products, instead of viewing lots of reviews by customers themselves. However, it is limited to emotional judgment. There are more product characteristics which can be extracted to form more comprehensive information for consumers. Meanwhile, existing methods all ignore the descriptions of the product itself given by sellers. By above motivations, we propose a new network based on attention mechanism (RAN for short) to predict more product characteristics (e.g., short or horror). Experimental results show that our method achieves state-of-the-art result on two real-world datasets.
Landslide risk assessment: human activities influence on an agriculture catchment

Abstract A disaster is an event that can cause damage, loss of human life, or environmental damage. One of the disasters that often occurs in the upstream area is landslides. Karangkobar is one of the regions in the upstream area that had experienced a major landslide at 2014 which is resulted in 105 houses buried in land and 95 people were dead. The landslide disaster that has occurred in the Karangkobar catchment area is caused by the topography of the hills, high slopes, thick soil solum, soil texture is clay, cropping pattern and treated land that is inconsistent with conservation rules. This shows that landslide in the Karangkobar catchment area not only caused by natural conditions, but also human activities have an influence on the land. This research aimed to analyze the risk of landslide disaster based on hazard, vulnerability and capacity aspects in the Karangkobar catchment area. Assessment of risk analysis made by overlay between Hazard, Vulnerability, and Capacity is then given scores and weights. Overlay created with Arc Gis 10.4.1, scoring is given to assigning values to each parameter disaster. Weighting was analyzed by Analytical Hierarchy Process (AHP) with pairwise method and Expert Choice V.11 software, Weighting determined based on AHP scale. The result showed that the percentage of landslide risk based on human activity in the Karangkobar catchment are 41,16 % high risk, 38,04 % medium risk, and 14,47% low risk.
Conocemos las costumbres de las familias de nuestros amigos

This sufficiency work has been designed for 4-year-old children from the initial level, of the city of Trujillo in 2019, with the theme entitled “We know the customs of our friends' families”, for which I have had take into account actions that they perform daily with their parents both inside and outside their home, as well as the dialogue to express their family customs, to develop interaction skills with their peers, in the Social Personal areaTo design this learning activity, the pedagogical processes, as well as the didactic processes of the Social Personnel area, specifically for the development of orality, have been taken into account, which will allow us to promote significant learning in our children.The strategies used allow the active participation of children, as well as teamwork, individually, the permanent dialogue of all studentsIt is sought during the development of the entire activity to maintain interest in our children, as well as the development of their critical thinking - reflective, autonomy, identify the usefulness of their learning
The diagnostic capability of the Cray, gfortran, Intel, Nag and Oracle Fortran compilers

We use several compilers for the development of the examples in our books. The following table summarises the compilers we have used:
English mentoring program di SD Muhammadiyah Miliran, Yogyakarta

English is one of the pre-eminent schools in Muhammadiyah elementary schools, especially Miliran Muhammadiyah Elementary School. But in reality there are still problems related to the ability of students, namely low mastery of vocabulary and speaking skills in English that still need to be optimized. English Mentoring Program (EMP) is a concrete solution in overcoming these problems. The purpose of this EMP Program is to provide insight for Teachers and Employees at Miliran Muhammadiyah Elementary School and Mentoring for students of Muhammadiyah Miliran Elementary School. A comprehensive EMP (involving teachers and students) and sustainable is a structured and gradual program that is expected to be realized. The method in the program, the executor starts the program by forming a planning team and preparing all the tools that will later be used in the EMP (preparation of mentors, modules, etc.). Then control the implementation of the EMP by providing training and assistance in improving English language skills for teachers and organizing English learning for students. The results and the impact of this activity is that the implementation of the English Mentoring Program can be carried out well in the context of realizing English days in schools and mentoring students at SD Muhammadiyah Miliran. This is evident from the results of increased student tests. In addition to increased vocabulary mastery, students' motivation and confidence in speaking English also increased.
Creativity, Problem-Solving, and Strategic Thinking Skills

While software product development teams are resourced by pooling team members with different skillsets and abilities, Business Analysts are placed on teams so that they can tie together disparate project strands.