Reviewerly/exHarmony huggingface dataset:
Lung Cancer Detection Using CAD System

Recently, the lung cancer is observed as the widespread disease with drastic increase in the mortality rate. To increase the survival rate of the patient with lung cancer it is necessary to diagnosis the cancer at early stage. At present, the position and region of the tumor is examined with Computed Tomography (CT). Hence, this paper developed a system automated segmentation and classification model for the tumor position detection with the cancer image data with higher accuracy. In this Computed Aided Detection system CT images are used as a input. The CAD system follows the sequence of steps such as Preprocessing, Segmentation, feature extraction, feature ranking and classification. The classification is achieved using the Random tree method. By using 10 fold cross validation, accuracy of about 97% with feature ranking and 86% without feature ranking are achieved using Random tree. Experimental results show the system which is proposed found to be better than previous study and it helps doctors to improve the efficiency and accurate to detect grade of cancer and to minimize the degree of inter-observer error.
The Globe Project: Connecting Internet of Things and E-Health

The necessity to update the way healthcare is now provided is generally acknowledged. Sensing systems(SS) inside the house are of particular relevance because they have been at the centre of numerous investigations in this field. This paper aims to discover a gap in between current state of the art as well as the varied medical needs in environmental assisted living by summarising this fast growing body of research & discussing the ramifications for machine learning (ML) . The fact that numerous approaches concentrate on specific health - related issues usually result in solutions that can't defend intensive data collection & analysis for a more socialized healthcare service. A multi-modality(MM) sensing system(SS) with mixed network access is also described in the report and is being developed by the Sensors It is being developed under SPHERE: The Sensors Network for Health coverage in Residences Surroundings Interdepartmental Research Collaboration (IRC).
An Investigation of Block Chains for Attaining Sustainable Society

It's possible to define blockchain technology as the DLT-based technology upon which cryptocurrencies and other distributed ledgers rely. This innovation extends well beyond Bitcoin and other forms of digital money. With its help, a new Internet era may dawn in which sensitive information can be sent, stored, and managed without fear of tampering or other forms of corruption. Because of its potential to combat corruption and help the impoverished, among other things, this technology is worth investing in. Any kind of transaction, such as the sale of a home or a stock, may be tracked nearly instantly. Sustainable development is at the heart of today's modern world. Technology like this may be useful in the pursuit of sustainability, which involves improving the here and now without jeopardizing the future. To be really useful, though, this innovation requires a robust digital governance structure. The purpose of this article is to investigate Blockchain Technology as a tool for promoting long-term, environmentally friendly growth in India, and to identify contexts where it may be particularly useful. How the Indian economy may adopt this technology and incorporate it into its system to achieve Sustainable Development is the topic of my paper. Capital market, accountable production and consumption, environmental protection, providing legal identity for everybody, property registration, and transparent philanthropy are all possible applications of this technology in India. The research methods used in this paper are entirely inductive, with a focus on secondary sources of information.
Various wavelet transformation of an image using Convolutional Neural Networks

Harbinger Recast in a method of a signal from its pattern area to its recurrence sphere occurrence part, The apex in the recurrence diapason indicates the frequently transpire prevalence in the wave order. The Enormous and serrated on its summit and serrated a summit is, pervasive with a distribution in a gesticulation with the position recurrence order with peak proportion of the summit. With a prevalence gamut that worn the instruction with the categorization order in the Incline foster, Recurrence sphere occur in a task as part of a prevalence diapason is immobilized. In a movement is non recurrence sphere variant, order with a message might occur in a pattern of cycle per second. In a ripple transfigure order in a perusal sorting on a pattern wave, but factor is invisible order migration. In the Proposed System Ripple Transfigure a probe grading of pattern wave in a gesture Adder ripple combinations to perform huge pair of ripple factor order and elevated order outcome by applying the ripple factor order, factor measure through the origin of 0.65 path method and it which the proportion measure of epilogue method of 0.73 transfigure that might acquire in the order of dinette and variation of audacity in fidelity.
Extended Dissipative Filtering of Nonhomogeneous Markovian Jump Singular IT2 Fuzzy Systems via Supermartingale-Like Approach

This paper addresses the extended dissipative filtering for a class of discrete-time nonhomogeneous Markovian jump singular interval type-2 fuzzy systems (IT2 NMJSSs). Construct a stochastic process which is a supermartingale or a supermartingale-like process over natural σ-algebra under some conditions. In light of the supermartingale-like approach and the property of conditional expectation, a sufficient condition is established to guarantee that the filtering error system is regular, causal, exponentially stable in mean square and extended dissipative via backward recursion. Supported with matrix decomposition involving in this sufficient condition, the filter can be developed by making use of Finsler’s Lemma. Finally, a numerical example is given to demonstrate the effectiveness of the design techniques in this paper.
EvoPrunerPool: An Evolutionary Pruner using Pruner Pool for Compressing Convolutional Neural Networks

This paper proposes EvoPrunerPool - an Evolutionary Pruner using Pruner Pool for Compressing Convolutional Neural Networks. EvoPrunerPool formulates filter pruning as a search problem for identifying the right set of pruners from a pool of off-the-shelf filter pruners and applying them in appropriate sequence to incrementally sparsify a given Convolutional Neural Network. The efficacy of EvoPrunerPool has been demonstrated on LeNet model using MNIST data as well as on VGG-19 deep model using CIFAR-10 data and its performance has been benchmarked against state-of-the-art model compression approaches. Experiments demonstrate a very competitive and effective performance of the proposed Evolutionary Pruner. Since EvoPrunerPool employs the native representation of a popular machine learning framework and filter pruners from a well-known AutoML toolkit the proposed approach is both extensible and generic. Consequently, a typical practitioner can use EvoPrunerPool without any in-depth understanding of filter pruning in specific and model compression in general.
EXPLORATORY DATA MINER WITH HYPOTHESIS CHARTS

For businesses and high end profitability, quick and effective judgments are crucial.Every time a business decision needs to be acknowledged, we need a variety of analytical references that must be attained.As a result, the system is designed from the beginning so that users can execute numerous business analyses.In order for the system to provide a centralized working environment for users to complete the entire reference task from a single system, any form of analytical processes that are required must be once again classified in reference to the gathering stage, the modeling stage, and the related representation stage.
Image File Format Using MATLAB

Mathematics plays a vital role in day to day life. The image file format is applied in various areas of engineering and science. The aim of this project is based on JPEG image using Singular Value Decomposition (SVD). Moreover, linear algebra (SVD) is used to compress the image in MATLAB.
Tuning the Parameters of Cutting Machines Using Particle Swarm Optimization: A Comparison Study

In this study, we conducted experiments to model the temperature of two manufacturing processes using various metaheuristic search algorithms. The two processes adopted were the P05 horny steel tool and the AISI304 stainless steel castings machines. Our approach involves building a data-driven model, as traditional search methods for modeling manufac-turing problems often need help finding the global optimum when faced with a complex objective function and numerous decision variables. Bio-inspired metaheuristic search algorithms have shown promising performance in handling multi-model optimization functions, and efficiently exploring the search space to attain more global results. We applied several metaheuristic search algorithms to find the optimal tuning parameters of a temperature-based model. The results from the case studies demonstrate that Particle Swarm Optimization (PSO) provided the best performance in tuning model parameters, resulting in minimum modeling error.
PERANCANGAN APLIKASI POINT OF SALES (POS) BERBASIS ANDROID MENGGUNAKAN FRAMEWORK FLUTTER DI KAFE ELANGSTA

Elangsta Cafe is one of the businesses engaged in the culinary field, recording many sales transactions every day. The application system used is still limited to a menu ordering system and does not yet have a sales report recapitulation system. Kafe owners experience difficulties when recapitulating data because they have to enter proof of sales one by one in an Excel file every day. So that becomes the formulation of the problem in this research, how to design a point of sales application system that can control cafe operations. Aims this research is to develop a point-of-sales application using the Flutter Framework. The test results show better results, the application is made following what is designed and runs well.
VMTools-RA: a Reference Architecture for Software Variability Tools

Currently, software systems must be appropriately developed to support an amount of variability for accommodating different requirements. To support such development, a diversity of tools has already been designed for variability management (i.e., identification, modeling, evaluation, and realization). However, due to this diversity, there is a lack of consensus on what in fact software variability tools are and even what functionalities they should provide. Besides that, the building of new tools is still an effort- and time-consuming task. To support their building, we present VMTools-RA, a reference architecture that encompasses knowledge and practice for developing and evolving variability tools. Designed in a systematic way, VMTools-RA was evaluated throughout: a controlled experiment with software developer practitioners; and an instantiation of the VMTools-RA architecture to implement a software variability tool, named SMartyModeling. As a result, VMTools-RA is evidenced to be feasible and it can be considered an important contribution to the software variability and developers of variability-intensive software systems community, which require specific tools developed in a faster manner with less risk, what a reference architecture could provide.
E-Modul Flipbook sebagai Sumber Pembelajaran Akuntansi pada Sekolah Menengah Kejuruan

This research aims to as produce a design for teaching materials of the type of e-module in the form of a flipbook. The approach in this study is a qualitative approach with a design-based research (DBR) method. This research produces flipbook e-module teaching materials made using a corporate flip PDF application that can be accessed on the web on various devices. Based on the validation results, this flipbook e-module is categorized as very feasible with an average overall score of the three is 3,81 so that this flipbook e-module is suitable for use as teaching materials in vocational high schools.
Pengaruh Kemampuan Berpikir Kritis &amp; Literasi Digital terhadap Wawasan Kebangsaan

This study aims to determine the influence of critical thinking skills and digital literacy on national insight. The method used in this study is a quantitative method by testing validity and reliability. The data collection method in this study used the questionnaire distribution method to village youth in Mojokerto. The result of this study is the relationship between critical thinking and national insight in mojokerto village youth showed the original path or sample value of 0.594 and showed a positive relationship, the t-count value of 4.773 is higher than the P value of 1.96 and lower than the Sig value. 0.004, which is less than 0.05, indicates that critical thinking has a positive value and a significant effect on the national insight of rural youth. Meanwhile, the relationship between digital literacy and national insight shows a path value (original sample) of 0.208, reflecting a positive relationship, with a t-count value of 4.773 higher than t-table 1.96 and lower than the Sig. value of 0.00 which is less than 0. 05, showing a positive and statistically significant relationship between digital literacy and national insights among young people.&#x0D; Keywords: Critical Thinking, Digital Literacy, National Insights.
13 An improved genetic quantum cryptography model for network communication

Any wireless or open space network’s biggest problem is security. When the network has limited coverage and high-speed mobility, communication becomes even more crucial. One similar network with a lower sensing limit and designed for indoor use is WPAN. In order to increase the communication’s dependability and security, this paper suggests a quantum-inspired encoded communication. The work model is established for a highly mobile, randomly scattered WPAN network. The initial step of this model performs node-level characterization under the parameters of coverage, stability, and load. Based on this analysis, the initial population sequence is generated and based on this generation, communication can be performed. The genetic model applied on this population pool is processed to generate the effective communication pair. After generating the population pair, quantum technique is applied to capture the characteristics of the node pair to generate the key. Finally, the data is encoded using the quantum key-based SHA. Over the network, this encoded communication is carried out.
Insights on Cloud Security Management

The technology known as cloud computing makes it possible to provide computing services over the Internet. Because it allows users to access and manage information and applications through a network of remote servers, this service model has been quickly adopted due to its numerous benefits, including cost savings, scalability, and accessibility. The global market for cloud computing is expected to reach $732 billion by 2023, according to a report from International Data Corporation (IDC). A first-hand survey of approximately sixty (60) cloud companies will be used to provide an overview of cloud computing technology, its architecture, and security, privacy, and trust (SPT) concerns. Privacy concerns for users, data theft, unauthenticated access, and hacker attacks are just a few of the cloud computing problems. These perplexing security issues of validation protection, information assurance and information check are the primary impediment to cloud transformation for future turns of events, which is getting addressed to recognize the sufficiency and adequacy of cloud security through subjective review relaxed near techniques.
SUSTAINABLE ISLAND (SAIL): AN INNOVATIVE WAY FOR REACHING A SIGNIFICANT RISE IN INDONESIA WATER, ENERGY, AND FOOD NEXUS INDEX

Indonesia, being an archipelagic country, ranks third in terms of climate risk. Sustainable islands (SAIL) are novel ideas offered as an effective way of achieving Indonesia's sustainable development while also accelerating climate change mitigation and adaptation. The water, energy, and food (WEF) nexus approach will be used to expand SAIL's programs. In this nexus, water is the most essential governing factor for the ecosystem and society. Thus, the SAIL program is adopting rainwater harvesting (RWH), a sustainable technology that supplies water with low energy and cost. To irrigate the crops and generate electricity, the island RWH tank is created by impounding surface runoff over natural landscape depressions equipped with a hydrokinetic power system. An RWH system with a pico-hydropower system is installed on the roofs of all island buildings for both household water consumption and electricity generation. The immediate implementation of the SAIL concept promises to boost Indonesia’s WEF nexus index. Keywords: Island; Nexus; RWH; Sustainability; WEF.
14 Code-based post-quantum cryptographic technique: digital signature

In order to prevent engineers, even those hazardous entertainers who have quantum enrolment of their own, from accessing information, quantum cryptography adds quantum mechanics standards to information encryption and transmission. The more widespread application of quantum cryptography similarly streamlines the development and performance of numerous cryptographic operations, leveraging the intriguing capabilities and power of quantum computers. Possibly, this type of PC can aid in the development of new, more sophisticated, and more effective encryption structures that are unable to comprehend using the current, conventional recruitment and communication methods. Quantum computer systems may cap in a position to interrupt all presently deployed public-key cryptographic algorithms. As those algorithms are critical to run a stable IT infrastructure, we urgently want to transition to the Malware capable of disrupting any active public-key cryptography algorithms that may face assaults from attackers to enter into large-scale quantum computer systems. Quantum computing is an upcoming era that targets to take advantage of quantum phenomena, consisting of superposition and entanglement, to carry out certain computational duties a lot extra effectively than currently feasible with conventional computing. Unlike conventional computer systems, quantum computer systems may be employed exponentially in many states at any moment, unlike classical computers, which can be used in some well-defined state at any point in time. The challenges of quantum computing has reinvigorated study efforts in all the areas of post-quantum cryptography, especially closer to making cryptosystems sensible by optimizing algorithms, featuring concrete parameter sets, and writing green and side-channel steady implementations.
Impact of Machine Learning on Digital Pricing And Cryptocurrency Markets

An approach to machine learning (ML) is a technique for forecasting that is widely employed in the global manufacturing, advertising, finance, travel, and transportation sectors today. The global financial market of today has had a significant impact on several facets of digital pricing. Large firms employ a variety of digital pricing strategies to produce the highest profit margins possible while conducting international commerce. However, successful machine learning applications also provide important benefits in the global markets for cryptocurrencies. It has been found that companies may trade money over virtual channels more easily and at a lower cost with the usage of ML methods than they previously could. Additionally, all trading techniques in the cryptocurrency and digital pricing markets may be quickly improved by machine learning to increase profits and build adaptable business expertise for future experimentation.By conducting surveys and asking questions about the subject, researchers will explore the specific research issue using an efficient quantitative method. However, using a probability sampling technique, researchers have developed three key study questions and gathered the opinions of about 80 participants. Utilizing a variety of cutting-edge ML technologies to improve the effectiveness of digital pricing and cryptocurrencies has gotten simpler in the current stock marketplaces. In order to expand the area of future research, the research article provides some significant insight into the effects of ML methods and how they affect digital pricing and bitcoin trading.
Towards an immersive virtual studio for design engineering

Design education has special requirements on using virtual studio setups. The Zoom fatigue during the world-wide COVID pandemic let our institution to test new tools which can help improve digital design education by supporting features like idea sharing, collaborative making, serendipitous discussion and group forming. For this purpose, we tested different tools during our Master program Innovation Design Engineering and collected student feedback. We found that immersion is a key factor impacting the effectiveness of group work in distance learning. This paper presents our applications and analysis of different platforms and contributes insights on how to build a virtual studio environment for an interdisciplinary master programme in design engineering. In this work, we will focus on our studies on Gather.town, Meta Horizon Workrooms and Spatial.
Teaching English to Young Learners (TEYL) at Elementary School

Teaching young learners is quite challenging and teachers need to be creative. This research aims to investigate the material used in English teaching-learning process for young learners in 5th grade 5A and 5B classes and in 6th grade 6A and 6B classes of an Elementary school of SDN 2 Kekeri in West Lombok, West Nusa Tenggara Province. The subjects of the study were a teacher and her students. To find the data in question research, the research used two types of instruments that are checklist observation and score rubric. The result shows there are four materials that most student teachers used to practice reading, writing, listening, and speaking English through games, worksheets, and role-plays, such as slides, songs, photographs, and drawings. It was found that their average score of 88.25 in 5th grade and an average score of 88.36 in 6th grade. Thus, it can be concluded that their English is in very well category.
9 Fault-tolerant mechanism using intelligent quantum computing-based error reduction codes

The chapter discusses the fault-tolerant mechanism using quantum computing that uses error reduction codes to reduce the possible faults. Building the circuits that make up a genuine quantum computer in order to get rid of delays that make the circuits more susceptible to noise was done in order to improve the performance of the computer. In addition, we have demonstrated that there will be no rise in the Tcount as a direct consequence of carrying out this operation. We have provided three distinct iterations of a 4-digit carry lookahead adder that has been improved in terms of T-count, T-depth, and the number of ancilla qubits that can be used. These adders make use of a novel approach that performs operations with a smaller T-count, which speeds up the computation of carry by conducting operations more quickly.
Chatbots in Accounting, Finance and Education

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