bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Efficient Hybrid Approach in Solving the Multiple Postman Problem
Authors: Shakir Hameed Asaad , Mohd Aboobaider Burhanuddin , Hea Choon Ngo , Habib Bilal Wassim , Lafta Mutar Modhi 
Published: July 2024

In this study, the proposed algorithm contributed to the enhancing of solutions of the Multiple Postman Problem m-PP, which is one of the optimization problems that, has attracted a lot of attention at the present time. It is a problem of the NP-hard type. However, because of the complication of polynomial time, there is still no algorithm providing us with the optimal solution of this problem. All the used algorithms give solutions that are close to the optimal one. In this research, we will present the Hybrid Algorithm HA in two phases. In the first phase the Sweep Algorithm SW is applied, and in the second one, the Ant Colony Algorithm and the local search 3-opt are applied. we will then compare the quality of the solution resulted from this hybrid approach with the results of well-known standard tests to determine the effectiveness of the presented approach.Â Â
Novel Deep-Learning Algorithms for the Internet of Things with Smart Applications â€“ An Exploratory Study
Authors: A Mahesh , P. Manimegalai Dr. 
Published: July 2024

The establishment of internetworked mobile and embedded applications leads to vision of the Internet of Things (IoT). It gives rise to a world enriched with sensor devices. The day to day corporeal possessions in our everyday situation are progressively enhanced with computing, detecting and communication competencies. Such proficiencies assure to transfigure the interfaces between individuals and physical objects. Such momentous research exertions have been expended toward developing smarter and more user-friendly solicitations on mobile and embedded expedients and sensors. Also, modern progress in deep learning has significantly reformed the approach that computing strategies process human-centric parameters such as images and audio-visual applications. Application of deep neural networks to IoT devices is proficient in the accomplishment of multifaceted sensing and recognition errands to upkeep a new demesne of communications between humans and their physical environments. This paper investigates various forms of deep learning algorithms in Big data processing and applications using smart IoT devices. The integration of process science with data science is studied and the real-time user-friendly solicitations involving Big data analytics and the Internet of Things is summarized.Â Â
A Modern Approach to Comprehensive Competitive Potential Assessment for Service Providers
Authors: R. Zakirova Irina , G. Zainasheva Zarima , F. Shaikhutdinova Gulnara , U. Ibragimova Nuriya , N. Korotkova Lyudmila , D. Mukhametova Diana , . . 
Published: July 2024

The relevance of the research is determined by specifics of competitive potential assessment for service providers. The purpose of this research is a comprehensive competitive potential assessment (CCPA) of Russian service providers, including an identification of their competitive positions in the market, as well as opportunities and problems areas in their operational activities to facilitate further management decisions. The paper proposes a methodical toolkit to assess competitive potential of a service provider. Based on the presented technique, a comprehensive competitive potential analysis of the following communications service providers (CSP) has been carried out: MTS PJSC, MegaFon PJSC; VimpelCom PJSC. The following of competitive potential components have been researched: resource, labour, organizational and managerial, innovative, marketing, service and technological. As the result, the potential competitiveness integral indicators calculated for the CSPs have shown the following values: MegaFon PJSC â€“ 36%, MTS PJSC â€“ 35%, VimpelCom PJSC â€“ 29%. The conclusions section of this work contains recommendations on increasing the competitive opportunities of the CPS as well as a substantiation of the practical importance of the presented technique in implementing management technologies for diagnostics of the development of service industries in various sectors of the national economy, including companies of the oil and gas sector. The materials of the article can be useful for managers of service companies and service consumers.Â Â
Immunoferment, Cytomorphological, Cytochemical Parameters of Fish as Ecological Indicators of Resistance to Helminthes, Passed by Fish-Eating Birds
Authors: A. Nefedova S. , A. Korovushkin A. , M. Tunikov G. , A. Fedosova O. , V. Yakunin Yu. , V. Baryshev R. 
Published: July 2024

A search for indicators reflecting resistance of fish to helminth infections passed by fish-eating birds has been carried out. A decrease in the concentration of lysozyme by 13.5 % and an increase in hemagglutinin by 7.7 % for the bighead carp (Hypophthalmichthys nobilis), 19.9 % and 7.4 % correspondingly for scaly carp (Cyprinus carpio) and 18.6 % and 11.4 %, respectively for white amur (Ctenopharyngodon idela) identify the fish at risk for the incidence of helminths of Trematoda class (Posthodiplostomum brevicaudatum and Diplostomum spathaceum) and Cestoidea class (Pseudophyllidea). The diffuse-gel method revealed that the dynamics of lysozyme marks resistance of fish to invasions. A decrease in lysozyme indices in the kidney of a bighead carp by 30.1 %, that of a scaly carp by 10.9 %, and that of a grass carp by 6.6 % is an indicator of a decrease in the resistance of the fish to helminths. The positive pool of polysaccharide granulation in the cytoplasm of fish lymphocytes detected by periodic acid Schiff reaction attributes them to the risk group for helminth infections passed by fish-eating birds. A dangerous tendency to decrease resistance to invasions is precipitation of large glycogen granules in lymphocytes of silver carp (up to 2.7 %), scaly carp (up to 2.4 %) and white amur (up to 2.9 %), as well as small polysaccharide inclusions up to 24 %, 54 % and 43 % respectively. Among cytomorphologic markers of fish resistance to helminth infections, an increase (2-4 times) in the number of lymphocytes with caudate nuclei, micronuclei, and chromosome aberrations of the dicentric type is benchmark.Â Â
A Study on Business Implications Due to Automation in Indian Seafood Industry with Specific Reference to the Frozen Sector
Authors: V. Vikas P. , M.K.Badrinarayanan Dr. 
Published: July 2024

The global demand for Indian seafood has been rising over the years. Marine product export figures have hit an all time high in terms of both, value and volume. The exports during the year amount up to 11,34,948 megaton values at INR 37870.90 crores, which is approximately USD 6 billion. There are more than 300 frozen seafood processing plants in the country. Some products exported are meant for the retail market and for direct consumer market, however, most of it is meant for reprocessing. This is because most of the technology and machinery used in Indian processing plants are traditional and some processing methods have become outdated. However, exporters are slowly moving towards newer technologies and processing styles in their factories. Value addition is being considered seriously by many seafood exporters. Value added products like IQF, breaded shrimps, marinated seafood, cooked products are now processed in some factories. Even packaging of Indian seafood has undergone many changes like vacuum packing, shrink packaging. Freezing is usually done by ammonia gas, this is now gradually being replaced by a less riskier neon gas in many processing plants. Advanced metal detection systems, highly sensitive water proof weighing scales and palletized automatic operated cold store are some other advancements seen in the recent years. Despite, efforts from various exporters, implementation of all these advancements can be done in large scale only with the help of the government, since such upgradation will incur a lot of investment. With support from various financial institutions, technical help from various government agencies and with the determined perseverance of the exporters, Indian seafood industry can enrich its processing technologies with the latest technology and advanced machinery making it reach great heights globally. This study presents the business implications of automation in the frozen food sector. It also presents the policy implications for implementing automation on a mass scale in the frozen seafood sector.Â Â
Performance Analysis of Misuse Attack Data using Data Mining Classifiers
Authors: Anitha Patil Dr. , Srikanth Yadav M 
Published: July 2024

Data mining can be characterized as the extraction of certain, already un-known, and conceivably valuable data from information. Various analysts have been creating security innovation and investigating new techniques to recognize digital assaults with the DARPA 1998 dataset for Intrusion Detection and adjusted renditions of this dataset KDDCup99 and NSL-KDD, yet as of not long ago nobody have inspected the execution of Top information mining calculations chose by specialists in information mining. The execution of these calculations are contrasted and precision, blunder rate and normal cost on changed renditions of NSL-KDD prepare and test dataset where the occasions are ordered into typical and four digital assault classes: DoS, Probing, R2L and U2R. Furthermore, the most vital highlights to identify digital assaults in all classifications and in every classification are assessed with Weka's Attribute Evaluator and positioned by Information Gain. The goal of this paper is to estimate the performance of classification models like logistic regression, artificial neural networks and support vector machines for predicting intrusions and these techniques are examined to improve the accuracy and performance of these models on KDDCUP dataset. The predictive models are developed using 42 input variable and 23 output variables from the attack set. We examined these data mining models in terms of their accuracy, sensitivity, specificity and FAR.Â The regression model achieved an accuracy of 99.62%, sensitivity is 99.01%, and specificity is 92.18% with a FAR of 7.82. The Multilayer perceptron (ANN) model achieved an accuracy of 99.62%, sensitivity is 99.01%, and specificity is 91.03% with a FAR of 8.97. The last model Support vector machine model achieved an accuracy of 99.62%, sensitivity is 99.01%, and specificity is 88.00% with a FAR of 12.00. The logical regression model had the better false alarm, sensitivity and specificity, followed by the Multilayer perceptron model and the support vector machine model. The most imperative highlights to distinguish digital assaults are essential highlights, for example, the quantity of seconds of a system association, the convention utilized for the association, the system benefit utilized, ordinary or mistake status of the association and the quantity of information bytes sent. The most vital highlights to distinguish DoS, Probing and R2L assaults are essential highlights and the minimum critical highlights are content highlights. Dissimilar to U2R assaults, where the substance highlights are the most imperative highlights to identify assaults.Â Â
An Image Encryption Algorithm Based on a Novel Five-Dimensional Hyper- Chaotic System
Authors: A. Mehdi Sadiq , M. jasim Zynab 
Published: July 2024

According to the fast growth of the Internet and communications networks, you must protect the secrecy of digital images sent over public networks. In recent times, researchers have developed ways to chaotic systems based image encryption. Specific characteristics of the disorder systems, such as dependence on initial conditions sensitivity, pseudorandom, ergodicity and system parameters, chaotic dynamics systems became as a promising alternative to traditional encryption algorithms. In this work, A fresh algorithm is presented to encrypt images depend onÂ a novel five dimensional hyper-chaotic system to achieve High level of security, the chaotic sequence generated from system employ for permutation the original image to create a cipher image. The security of presented encryption algorithm evaluated by much security analysis such as Histogram Analysis, Correlation Coefficient Analysis, Information Entropy Analysis, Key Space Analysis, Key Sensitivity Analysis, Number of Pixels Change Rate (NPCR), Unified Average Changing Intensity (UACI), Peak Signal to Noise Ratio , The experimental results demonstrate that the algorithm has good encryption effect, large key space equals to 10182and high sensitivity to a tiny change in secret key for decrypted images ,therefore, the presented encryption algorithm depend on a novel hyper- chaotic system is more secure against the statistical and deferential attacks.Â Â
Study the Possibility of Recycling Damaged Thermostone in Thermostone Najaf Plant
Authors: Razzaq Hasan Ammar , Hussein Hamzah Khaldoon 
Published: July 2024

Research include the possibility of benefiting from a damaged thermostone and output from several sources, including manufacturing and damaged operations during transportation and the user to measure the durability other from other sources as substitutes for Raw Materials involved in thermostone industry while maintaining the quality of the product and its properties and thus reducing the raw materials consumed in production processes where it was noted that the compensation of 15% of each of sand and cement. Thermostone mix give the results of the power of good bear while maintaining on its properties and that the compensation cement results were better than the compensation sand and therefore can benefit from a damaged Thermostone in recycling.Â Â
A Security Paradigm for IoT
Authors: Anurag Urla Priyanka , N Pai Smitha , Mohan Girish 
Published: July 2024

Current technology is offering lot of services at the finger tips. IoT is becoming a part of daily life without us being actually aware of the vulnerability to attacks. In this paper issues with choice of security algorithm is discussed. A secure computational approach is designed to overcome the issues with security.Â Â
The Economy of Communion (EoC) as a New Ideal Economy
Authors: Chun Se-Hak 
Published: July 2024

The Economy of Communion (EoC) is a business paradigm that has been developed from the praxis of the Focolare Movement to reduce poverty and to disseminate the culture of giving. The EoC business commits to allocating up to two thirds of their profits for the help of people in need. In this regard, this movement is a new market economy philosophy between Marxism and Capitalism. This paper overviews the EoC from the economic perspective, and discusses the sustainability of the EoC business model and introduces cases of the EoC firms.Â Â
Comprehensive Study on Ensemble Classification for Medical Applications
Authors: Rosly Rosaida , Makhtar Mokhairi , Khalid Awang Mohd , Isa Awang Mohd , Nordin Abdul Rahman Mohd , Mahdin Hairulnizam 
Published: July 2024

The aims of this paper were to provide a comprehensive review of classification techniques and their alternative approaches in data mining. Classification is a data mining technique that assigns categories to a collection of data to aide in more accurate predictions and analyses. It is one of the several methods intended to make the analysis of very large datasets effective. The goal of classification is to accurately predict the target class for each case in the data. One of the classification approaches is the ensemble method. In recent years, the usage of ensemble method in medical application has been increasing. Not only in medical areas, it can also help researchers to solve modem problems in many fields like machine learning, data mining, and other related areas.Â Â
Development and Verification of Fire Service Area Re-division and Fire Fighter Deployment Methodologies using Census Spatial Data
Authors: Lee Ji-Soo , Lee Oon-Ha , Seo Hyun-cheol , Hong Won-Hwa 
Published: July 2024

The South Korean fire service force deployment criteria have insufficient considerations compared to the US, the UK, and Japan, and even when compared with OECD countries, the national criteria for fire service forces should be improved. In particular, the criteria for division of fire service areas are concentrated on administrative districts so that the response times of actual front line fire houses cannot but be much different among regions. In addition, since the numbers of residents under each fire fighter's charge show larger differences among lower organizations, technical methodologies to respond to such differences should be urgently developed. Therefore, in this study, fire service areas were redivided based on accessibility utilizing census polygon data andÂ fire fighters were reorganized using the population attribute information embedded in the data. The methodology presented in this study was applied to the target area to quantitatively evaluate the degrees to which the differences in the numbers of residents under one fire fighter's charge and the accessibility were improved.Â
A Scenario of Implementation Building Information Modelling (BIM) Technology in the Interior Design Industry
Authors: Bakar Abd Hamid Abu , Rashid Embi Mohd , Zafrullah Mohd Taib Mohd , Haqqi Nazali Abdul Razak Ahmad 
Published: July 2024

While Building Information Modelling are established in construction industry especially in architectural, engineering and construction (AEC), interior design is still struggles and freshly in this technology. BIM is a new paradigm in a construction industry to enhance the construction progress and documentation more efficient and fast. The main research is to emphasize the scenario of implementation building information modelling for interior design industry in Malaysia context. The research explores how crucial the adoption BIM for interior design firms in industry. This study is embark on collecting data through a pilot survey which is several interior design firms registered with Board of Malaysia Architect (LAM) was chosen. The research outcomes are to find out the problems why interior design industry in Malaysia is unimplements BIM technology in interior design industry. This study also will be figure up the solution on adoption of BIM in interior design industry.Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â
Study on Improvement of Torque Characteristics of IPM BLDC Motor for Electric Water Pump using Ferrite Magnet
Authors: Baek Soo-Whang , . . , . . 
Published: July 2024

Background/Objectives: The objectives of this study are to propose a design method to replace the permanent magnets of brushless DC (BLDC) motors used in electric water pumps (EWPs) with ferrite materials and to improve the torque characteristics.Methods/Statistical analysis: Using the proposed design algorithm presented in this study, the shape of the ferrite permanent magnet used in the rotor was changed, and the output at the same level was confirmed when compared with that of the conventional model that uses rare-earth magnet. In addition, finite element (FE) analysis verified that the cogging torque and torque-ripple characteristics of the proposed model using a ferrite material improved.Findings: An EWP operated by a BLDC motor is used to improve the engine performance of a vehicle. Applying permanent magnets made of a ferrite material is necessary, which is advantageous in terms of cost in the design of BLDC motors. In particular, ferrite permanent magnets have a good demagnetization characteristic at high temperature compared with rare-earth magnets. By improving the cogging torque and torque ripple of the motor, achieving robust characteristics from disturbance and precisely controlling the system become possible. In this study, BLDC motors for EWPs were designed by replacing the rare-earth permanent magnets with low-cost ferrite permanent magnets. The shape design of the rotor using ferrite permanent magnet was implemented to make the output characteristics of the proposed model conform to the output characteristics of the conventional model, and simultaneously, the cogging torque and torque-ripple characteristics improved. To verify the suitability of the proposed design method, the design results were analyzed using 2D FE-analysis.Improvements/Applications: The proposed design algorithm is suitable for cost reduction and performance improvement of BLDC motors that drive EWPs for automobiles.Â Â
Iris Feature Extraction Methods Overview
Authors: Swati D. Shirke Ms. , C. Rajabhushanam Dr. 
Published: July 2024

Iris reorganization remains one of the superlative recognition techniques in Biometrics system, for human Identification and authentication purpose we can use IRIS Recognition technique by using machine learning technologies. Machine Learning helps us find solutions of many problems in computer vision and recognition techniques [1] .Iris recognition task not only effortlessly but also every day we recognize our friends, relative as well as family members. We also recognition by using persons IRIS pattern composed of a particular combination of features. The main process in IRIS Recognition system is feature learning i.e. a set of techniques that learn feature [2][3]. This Paper deals with: Dimension Reduction techniques for IRIS feature Extraction.Â Â Â
FEM Formulation to Solve Hyperelastic Problem up to Large Strain
Authors: Verma Sushant , Ahmed Anwer , Kumar Sharma Vipul , Gupta Anuj 
Published: July 2024

In this paper finite element method has been practiced for solving the hyperselastic problem upto large strain. Truss problem has been solved by using the finite element formulation. The aim of the paper is to discussed the algorithm used to solve the complex problem. For that FLagSHyp code (Finite Element Large Strain Hyperelastic Problem written by Javier bonet and Richard D .wood) algorithm has been discussed to understand the behaviour of hyperelastic material subjected to large strain. The result obtained is compared by the result obtained from abaqus software. Three models i.e. Odgen model, Incompressible neo-hookean model and Mooney-Rivlin model have been applied for the truss problem.Â Â
Cogeneration Possibilities in Academic Institutions: an Experimental Study
Authors: Tiwari Sumit , Gupta Ashish , Prakash Yadav Om 
Published: July 2024

In present paper, concept of cogeneration has been implemented experimentally. Internal combustion engine (ICE) working on diesel fuel taken for energy production although it is found that out of total energy 42% is wasted through exhaust gasses and 28% energy is wasted due to engine cooling. Energy wasted through exhaust and cooling can be recovered through water or some fluid heating. Present study is done in academic institute (KIET, Ghaziabad, UP, India) in which time table has been arranged so that ICE energy can be utilize in ICE lab and energy of exhaust gasses and engine cooling can be utilize in heat and mass transfer lab for study of heat exchanger working in parallel and counter flow condition. It is seen from the result that thermal efficiency has been increased by 40% at higher loading conditions.Â Â