Reviewerly/exHarmony huggingface dataset:
Greedy Theory Using Improved Performance Prim’s Algorithm, Big Bang Speedup of the Bellman–Ford Algorithm

In simple words, it is mainly used to solve a problem in which the best option has to be selected from the available options at each step. An algorithm is designed to find the best solution for a problem. It is used to find the shortest path from the starting point to the target in a weighted graph. A graph in which the distance or value from one point to another is known, that is, the length of the line joining all the points is known in it. Let us say we are trying to find the shortest route from your house to your friend’s house and you know the distances between different paths across the city. Now if you consider the different locations as a vertices (point) and the path between them as edges (the line joining the points), we can design a weighted graph. Given a set of cities and the distance between every pair of cities, the problem is to find the shortest possible route that visits every city exactly once and returns to the starting point. It does a blind search, so a lot of time is wasted in processing. It cannot handle negative edges. This leads to the acyclic graph and mostly fails to find the correct shortest path. We need to keep an eye on those vertices which are visited once. Note the difference between the Hamiltonian cycle and the TSP. The problem with the Hamiltonian cycle is if there exists a tour that visits every city once. Here, we know that there exists a Hamiltonian tour (since the graph is complete) and that in fact many such tours exist, the problem is to find a minimum weight Hamiltonian cycle.
Sign Language Recognizing Using Machine Learning

Sign language is a type of language that includes postures and body motions in addition to hand gestures. For ages, sign language was the only way to connect with each other. But in early times, without the knowledge of different varieties of language, it became hard to communicate. Now as the world is becoming more advanced and digitalised, deaf and blind people find the basic mode of communication more disrupting and uneasy. To resolve this issue, Sign language recognition/interpreter system becomes a necessity to help the people in need. This is possible because to Machine Learning and Human Computer Interaction (HCI).
Recommendation Systems for a Group of Users Which Recommend Recent Attention: Using Hybrid Recommendation Model

Group recommendation systems, which deliver items to a group of users, have recently received a lot of interest. Several aggregation and model group recommendation techniques were discussed. On the other hand, group recommendation's cold-start issue has received less attention, severely restricting group recommendation in several crucial areas, such as offline suggestions. In this study, we offer a new deep hybrid framework to address the cold start issue with group event recommendations for a user group. Our framework is the basis for RBM and comprises numerous restricted Boltzmann machines (RBM). The first gathers client preferences as well as high-quality latent data. Context information like location and event structure is used to identify late event aspects. Set up a schedule for the event. To fix the cold-start issue, we tested our proposed framework on two real-world datasets, and the results demonstrate that it outperforms Baseline Group recommendation techniques and efficiently addresses the cold-start issue in group events.
Critical Evaluation of SIMON and SPECK BLOCK Cipher for Different Modes of Operation

A secure, lightweight block cipher provides a comprehensive security solution for applications that run on resource-constrained devices. The Simon and Speck are lightweight block ciphers developed especially for restricted hardware to offer data security. Raspberry Pi is a resource-constraint device employed in various projects, including the creation of gadgets, games, monitoring and surveillance technologies, basic automated machines, robotics, etc. This chapter examines the performance of SIMON and SPECK families on a Raspberry Pi device to see how efficient and fast these algorithms work for different modes of operation. As the objective of designing SIMON and SPECK was to ensure security on very restricted devices, the security strength of SIMON and SPECK families are also explored in different modes of operation. The simulated results of the Raspberry Pi device demonstrate that SPECK performed faster in encryption time and provides a high level of throughput and efficiency compared to SIMON families in all modes of operation. On the other hand, SIMON families performed better in terms of security strength than SPECK families. Therefore, this study can be applied to determine the appropriate performance and security trade-off in contexts with limited resources.
Code-Based Cryptography: A Comparative Study of Key Sizes

In today’s era, cryptography is used in our daily life such as health, finance, armed forces and entertainment, etc. Cryptography secured data and communications by applying mathematical transformations. Cryptography provides confidentiality, integrity, and availability (CIA triad). Codes have the capacity to encrypt and transmit data, which inspires the idea of code-based cryptography. The combination of characteristics of codes and traditional cryptography provides security against quantum attacks. In this chapter, we have reviewed the state of the art of code-based cryptography and the usefulness of rank-metric codes in the reduction of key size. We have also reviewed different code-based cryptosystems based on different types of codes, which help in reducing the key size without degrading the security level.
Design and Implementation of Image De-hazing Using Histogram Equalization

In the actual world, images are extremely significant and these are used for describe environment changes. The existence of smog, fog, mist, and haze in the climate corrupt the quality of image acquired by photographic device. Based on the investigation that a hazy picture displays low disparity, we recover the hazy picture by improving its clarity. However, the over damages of the depraved contrast can trim pixel elements values and cause data loss in picture. In this paper using color, attenuation method with histogram equalization, and it is helpful to clear the hazy images. In this paper, we remove haze from a foggy image, improve image quality, and finally, restore and enhance a haze-free image with clear clarity. The proposed technique has been developed and tested in MATLAB2012b, and experimental results show that proposed method completely discards the haze.
Hybridization of AES and RSA Algorithm in File Encryption Using Parallel Computing

As technology advances there is an increase in the amount of data transmitted over the network. One of the biggest challenges facing is safety. Cryptography is the study of computational methods related to information security, including privacy, integrity of data, business validation, and source verification, which provides security. In this chapter, we propose a hybrid cryptographic solution using the AES and RSA algorithm as well as the OpenMP shared memory method for memory. The proposed hybrid algorithms aim at better security and efficiency of data.
Distributed Hotel Chain Using Blockchain and Chainlink

Hospitality industry is very important in our society. This industry can be secured with blockchain technology. The main goal of this chapter is to examine the current blockchain-based hotel chain systems as well as any potential obstacles, with the aim of betterment of hotel chain systems for the future. It also presents a smart contract for the hotel chain distributed application. The research chapter will concentrate on the significance of hotel booking platforms (and hospitality), as these are the two main strategies used by the hotel sector to demonstrate their consideration for and goodwill toward the guest. An explanation of the fundamental components and functions of the blockchain with respect to the hotel reservation system follows. According to this study, hotel management systems enabled by blockchain and chain links might offer different options than conventional hotel reservation systems. The five following categories were used to group the major problems: general, integrity, price-parity agreements, privacy, and a lack of payment options. This study revealed that some issues that are prevalent in the present hotel management systems can be resolved by blockchain technologies. On the other side, the issues with blockchain applications that are commonly highlighted are privacy protection and transaction speed.
Energy planning with economic analysis of grid solar power plants in multipurpose building (a case study of Brebes Expo &amp; Convention building)

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation Retno Tri Kristiyani, Sasongko Pramono Hadi, A. Kusumawanto; Energy planning with economic analysis of grid solar power plants in multipurpose building (a case study of Brebes Expo & Convention building). AIP Conf. Proc. 14 February 2023; 2654 (1): 030007. https://doi.org/10.1063/5.0116308 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAIP Publishing PortfolioAIP Conference Proceedings Search Advanced Search |Citation Search
Power-Efficient Hardware Design of ECC Algorithm on High Performance FPGA

Data security and GC concepts are the two most promising areas with which the world is most concerned nowadays. As everyday technological progress is witnessed, hackers also develop new techniques for penetrating security. People are migrating toward GC since the power consumption is also a big problem. Using the Zynq 7000 FPGA, we have tried to optimize the total power dissipation (TPD) for the ECC algorithm in our proposed work. The implementation is implanted on VIVADO ISE. In the proposed work, the TPD for ECC design on Zynq 7000 is analyzed for various clock (clk) pulses. From the power calculation, it is observed that the TPD gets decreased as the time clk pulse increases.
Approaches to Overcome Human Limitations by an Intelligent Autonomous System with a Level of Consciousness in Reasoning, Decision Making and Problem-Solving Capabilities

With the nonstop advancement of software engineering and innovation, PCs are bit by bit applied to numerous fields, including the craftsmanship plan. In this chapter, to work on the effectiveness and far reaching level of craftsmanship plan, the workmanship plan colleague framework was concentrated on the reason of the entire request of craftsmanship plan. In this framework, the main picture preparing innovation is utilized in contemporary workmanship plan, which can clearly lessen the measure of work of the plan staff, and make an agreeable improvement space for the previously mentioned faculty. In any case, right now, the workmanship plan labourers additionally need to work on their own capacity. Development cost assessment has involved a huge piece of examination benefits in development the board. It is exceptionally difficult to assess project costs during various stages since expenses, deals and benefits sum were hard to be assessed precisely, likewise shy of control data, and issues like insightful mistakes among immediate and aberrant expense and undertaking chances. This chapter has fostered a development cost assessment framework dependent on man-made consciousness, conquering the undertaking vulnerabilities through cutting edge and insightful PC organizations. Simultaneously, this chapter additionally contemplates the accessibility of computerized reasoning.
Implementation of Smart Contract Using Ethereum Blockchain

Blockchain technology has greatest impact in the last few decades. The blockchain has distributed ledger of all transactions across a peer-to-peer network. In the existing traditional seller-buyer system, the seller provides an interface to the user for ordering goods. This system provides a facility to the customer for payments of their orders through a trusted third party which is a bank. In case the centralized system is failed then the functioning of the entire system is affected along with the loss of data integrity. For the solution to this problem Smart contract provides distributed peer-to-peer communication. In this proposed work, the transaction among the nodes is coordinated by the smart contract. This smart contract-based seller-buyer exchange model provides peer-to-peer transactions in which no data is dependent on a central authority. In this proposed model, the seller and buyer communicate directly by a set of protocols that executes automatically when conditions are met. Further, this method maintains data consistency, transparency, and integrity because all the transactions among the nodes execute in a distributed way. The consensus mechanism among the nodes validates and authenticates the peer-to-peer transaction in the blockchain.
The Augmented Reality as Educational Tool. Naufragio, an AR Game

Augmented reality is a technology with which, through various procedures (as there are several types of AR), we superimpose computer-generated images on the real world, generally through interactive elements such as mobile devices. In addition to computer-generated graphic elements, AR can provide us with other perceptions such as sounds or tactile elements. In addition to this, elements such as board games are increasingly used for various purposes, not only for fun, as they have proven to be an effective method to keep the mind active, stimulate the ability to think and learn, acquire various skills such as mathematics or logic, as well as promoting social factors such as following rules and instructions, family inclusion and self-awareness through games that exploit the user’s feelings. This is why board games have now entered the classroom. Naufragio, which is the name of the game that has been developed, is a board game that uses AR technology to train spatial vision, overview, logic and team play. The aim of the game is to use a set of cards of pieces and, using AR, visualise pieces made in 3D with specific software such as SolidWorks or Blender through an intelligent device in which the players can move relatively around the piece, observing the shapes and joints to find out which pieces are the correct ones for the assembly. This will also be supported by the use of a card that allows the piece to be sectioned in 3D, with the aim of getting a better view of the joints and the holes in the elements to finally place the four pieces that fit together on a 2 × 2 card mat that will allow the solution to be visualised and check whether it has been done correctly or incorrectly. All this is also assembled with the technology of the Unity graphics engine and an independent engine specialised in AR called Vuforia. Thanks to these tools, the whole project is compiled into an interactive game in the form of an application for smart devices, supported by the physical card game.
Factors affecting the implementation of SIKD at the national archives of the Republic of Indonesia

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation Lufi Herawan; Factors affecting the implementation of SIKD at the national archives of the Republic of Indonesia. AIP Conf. Proc. 14 February 2023; 2654 (1): 020011. https://doi.org/10.1063/5.0114229 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAIP Publishing PortfolioAIP Conference Proceedings Search Advanced Search |Citation Search
The value of scientific information — An overview

First posted February 14, 2023 For additional information, contact: Science and Decisions CenterU.S. Geological Survey12201 Sunrise Valley DriveReston, VA 20192Contact Pubs Warehouse The U.S. Geological Survey (USGS) provides reliable science, data, information, and models (hereafter collectively referred to as “information”) to describe and understand the Earth. This information is used to minimize loss of life and property from natural disasters; manage water, biological, energy, and mineral resources; and enhance and protect quality of life. USGS science informs public and private decisions, operations, and risk management in all major United States economic sectors, as defined by the Bureau of Economic Analysis, and provides critical information for natural resource and natural hazard management and stewardship decisions. Understanding the value of scientific information supports applications of USGS science in land- and water-management decisions, and better informs the public about the return on investment of USGS programs. USGS economists, social scientists, and physical scientists are engaged in collaborative efforts to advance methods to estimate the value of information (VOI) produced by the USGS. These efforts involve collaborating with an international community to develop and refine estimation methods, establish best practices to determine VOI, develop a study repository, and conduct projects to assess the VOI of specific information products and their application. This report focuses on economic valuation conducted by USGS specifically, although the methodology has much broader applicability within the U.S. government, academia, and beyond. Noneconomic valuation techniques for assessing the VOI also exist but are not addressed in this report.
Mobile Application for the Acquisition of Competencies in the Standardised Drawing of Mechanical Engineering Assemblies, Based on Augmented Reality

Over the years of teaching the subject of Technical Drawing, we teachers have verified that many students have significants problems when it is time to learn the topic of mechanical assemblies, in terms of understanding how they work, the position of their parts and the relative displacement between them. These issues are essential for a better standardized drawing of mechanical assemblies. Mistakes in the mechanism's perception lead, inexorably, to errors in the drawing. Mobile Applications in learning environments has been investigated and has been shown to give good results in classroom. The use and properties of this mobile technologies can favor and enrich the teaching–learning process. The application developed facilitates working on the competences in an innovative virtual environment, both in the classroom and in individual work at home by the student. This software allows the movement, manipulation, and visualization of the virtual mechanism being studied in a more optimal and motivating way that neither traditional paper materials nor the manipulation of the real object can provide.
Quantitative Information Flow Techniques for Studying Optimality in Differential Privacy

Universal optimality for differential privacy seeks to characterise the "best" mechanisms, which are the ones that provide the most utility to some class of consumers whilst simultaneously satisfying a fixed ε-differential privacy constraint. The study of universal optimality was initiated in 2009 in two important papers: the first by Ghosh et al., who discovered a universally optimal mechanism for a large class of consumers within the differential privacy constraint context of "counting queries" on statistical datasets; the second by Brenner and Nissim who found that outside of this context, no such universally optimal mechanisms exist. Since those remarkable results, there have been few advances in this field. In this article we detail some recent work which sheds new light on these results using Quantitative Information Flow (QIF), a mathematical framework for quantifying information leaks under a Bayesian adversarial model. Using standard QIF reasoning we show how the earlier results can be both generalised and extended, opening up new avenues for exploring optimality in a wide variety of differential privacy contexts.
Indonesian question classification using feature extraction and selection approach on coarse and fine taxonomy

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation Irfandy Thalib, Widyawan, Indah Soesanti; Indonesian question classification using feature extraction and selection approach on coarse and fine taxonomy. AIP Conf. Proc. 14 February 2023; 2654 (1): 020007. https://doi.org/10.1063/5.0114188 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAIP Publishing PortfolioAIP Conference Proceedings Search Advanced Search |Citation Search
Outline for the Development of the Graphic Documentation of a Project

On many occasions, when a student carries out work involving a design process, he or she tends to prioritise the written work or the 3D product design process, without considering that the work has to culminate in the production of 2D plans in predetermined formats, which will faithfully define the final product and facilitate the understanding of the design for anyone who examines them. This text is intended as a guide so that the student knows how to approach the graphic documentation work phase, which must be carried out in parallel with the design of the product. The student often leaves this phase of graphic formalisation to the last moment of the deadline for the presentation of the work, which usually leads to poorly drawn, undefined and incomplete plans. In addition to graphically defining the product, the student has to personalise the work environment, which will facilitate the different phases of the process, starting from templates and personalising them according to the final finish to be obtained. On the one hand, he/she must define the sheet formats to be used, and on the other hand, he/she will design the title block to be used in the plans, determining the blocks to be included in it. In addition, he has to foresee the standard he is going to work with and must configure the styles to be used, the sizes and type of letter, type of dimension, scales, etc., so that he does not have to carry out this work at the last minute.
Comparison of supervised algorithms for built-up classification in Indonesia metropolitan

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation Achmad Fauzi Bagus Firmansyah; Comparison of supervised algorithms for built-up classification in Indonesia metropolitan. AIP Conference Proceedings 14 February 2023; 2654 (1): 050001. https://doi.org/10.1063/5.0125960 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAIP Publishing PortfolioAIP Conference Proceedings Search Advanced Search |Citation Search