International Journal of Scientific Research in Network Security and Communication
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    272 research outputs found

    Application of Shell Model Calculations with Modified Surface Delta Interaction For the Two Nuclei

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    By applying Shell model with Modified Surface Delta Interaction on Tellurium nucleus and Tin nucleus , that have two valence nucleons outside the closed core , we obtained the values of the energy levels and excitation energies of the two nuclei, after determining the value of the two constants and for Modified Surface Delta Interaction by least square fitting method. When we comparing the value of standard deviation of our calculated excitation energies with some previous studies calculated in different ways, we found that nucleus shows good agreement with experimental values compared to these studies, while nucleus does not show a good agreement. Therefore the application of the Shell model with Modified Surface Delta Interaction, in its present form, on nuclei whose valence nucleons are located after the magic number N = 82, needs to be modified, such as taking into account the excitation closed core and configuration mixing. &nbsp

    A Comparative Study Between RIPEMD160 and SHA256 Hash Functions On Digital Holy Quran Integrity Verification

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    In Data Security and Cryptography areas, hash functions play a fundamental and important role in the field of Integrity, This paper presents a performance evaluation of two cryptographic hash functions SHA256 and RIPEMD160 which used to verify the integrity of digital holy Quran and determine which one is better. SHA256 and RIPEMD160 hash functions have been selected in this comparison because their characteristics speed and space characteristics, both hash functions have their own advantages and disadvantages what distinguishes them from others, which will be discuss in detail in Background section. This study focuses on security and performance analysis. Security analysis where many experiments be applied to find out the strength and effectiveness of each two hash functions and hash collisions be analysed. The performance analysis will be applied by measuring the speed of the proposed methods in this study. The results show that the RIPEMD160 hash function is faster than SHA256 hash function for the integrity verification on a digital copy of the Holy Quran. &nbsp

    Real-Time Monitoring and Smart Transformer Protection by Using IoT

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    Transformers is the basic design of the electrical device which provides power transmission by transforming induced current from one circuit to another. The induced current can be converted step up or step down of current or voltage. This application mainly concentrates on the distribution as well as power transformers which are used in between the electrical Power system. Real-time monitoring and protection are done for basic features like oil level, temperature, over-voltage, over-current, under-voltage, maintenance, etc. These features are essential for effective power transmission and the long life of transformers. The monitoring and protection of the transformer are done by using an ATmega16L microcontroller, IoT, and sensors which check the level of oil, over-voltage, smoke detect and maintain temperature by continuous real-time monitoring. There are various transformer maintenance techniques, but this kit gives real-time monitoring and control of transformers by using the ATmega16L microcontroller. The design is to sense the parameters of the transformer and send the parametric information regularly to the control room. So, this design makes it possible to attain real-time protection and monitoring by using IoT. This project gives us an efficient system as well as we are connected all the power system transformers online for regular monitoring and get uninterrupted power supply to the consumer. &nbsp

    Optimizing Resource Utilization in Cloud Networks: An Analysis of VM Selection and Placement Policies

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    Cloud computing enables on-demand computing, providing users with elastic resources on a pay-as-you-go basis. The proliferation of data-driven applications and services has led to increased demand for computational resources, prompting the deployment of large data centers that consume significant amounts of energy and emit CO2 into the environment. As VM placement and selection significantly impact energy consumption, this paper explores various benchmark algorithms for VM selection and placement policies, evaluating their performance based on SLA violations, energy consumption, and the number of migrations. The study utilizes the cloudsim toolkit and analyzes real workloads from the CoMon project. &nbsp

    HARQ Scheme for different MCS users over LTE and LTE-Advanced Networks

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    In Long Term Evolution (LTE) and LTE-Advanced networks, due to multifold data traffic growth and unpredictable variation in the received signal strength, there is no guarantee for successful reception of data packets without any error. This becomes a challenging task for Mobile Network Operators (MNOs) to support more reliable data transmissions over the network. The LTE and LTE-Advanced networks uses Hybrid Automatic Repeat reQuest (HARQ) scheme to recovery of error data packets, however the received signal strength may vary from QPSK to 64QAM regions. Therefore the performance evaluation of different Modulation and Coding Scheme (MCS) users such as QPSK, 16QAM and 64QAM for different HARQ retransmissions under different data traffic condition is vital for MNOs to predict the per user throughput and recovery of error data packets of different MCS users for different HARQ retransmissions. Hence in this paper using QualNet 8.2 network simulator, the attempt has been made to study the performance of different MCS users for different HARQ retransmissions under different data traffic scenarios. Simulation results show that the data packets received with error are less as the cell load is within its capacity and less HARQ retransmissions are sufficient to recovery of error data packets, whereas in higher data traffic scenarios, for data intensive services maximum HARQ retransmissions are vital to fulfil QoS requirements. &nbsp

    Air Quality Measurement: Digital Dashboard Using Smartphone

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    In cities all over the globe are transforming into smart cities. Smart cities initiatives need to address environmental concerns such as air pollution to provide clean air. A scalable and cost-effective air monitoring system is imperative to monitor and control air pollution for smart city development. Air pollution has notable effects on the well-being of the population a whole, global atmosphere, and worldwide economy. This paper presents a scalable smart air quality monitoring system with low cost sensors and long-range communication protocol. The sensors collect four parameters, temperature, humidity, dust and carbon dioxide in the air. The proposed end-to-end system has been implemented and deployed in Yangon, the business capital of Myanmar, as a case study since Jun 2018. The system allows the users to log in to an online dashboard to monitor the real-time status. In addition, based the collected air quality parameters for the past two months, a Machine Learning model has been trained to make predictions of parameters such that proactive actions can be taken to alleviate the impacts from air pollution. &nbsp

    The Future of Artificial Intelligence with Respect to Society: A Comprehensive Review

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    Artificial Intelligence (AI) is still in its infancy but continues to bring tremendous benefits to human life and may well prove to be the most powerful technology ever invented. It has played a vital role in our society and has transformed lifestyle of humans to a massive extent. It has the potential to transform health sector, increase productivity, can play a major role in saving environment and enhance both freedom and democracy. In recent past the AI has penetrated into human’s life to a greater extent. Although this penetration has impacted into positive and negative ways on society but, this current era of Digitization can’t survive without adopting AI tools and technologies in solving highly complex and diverse societal problems. Presently, the dependency of humans on AI system has increase manifold and in near future the society may leads to explainable AI, where there are chances for every human activity to be controlled by machines. In this paper, we begin with a general introduction to the field of artificial intelligence, then progress to exploring the subsets of AI and examine their practical applicability with respect to different domains of society followed by Impactful Evaluation where the positive influence of AI in different fields has been explored. Lastly, the focus has been paid to Critical Evaluation in which the negative consequences and various challenges associated with AI has been paid attention. In conclusion, several recommendations for AI systems and their associated applications have been made to enhance its applicability in the society. &nbsp

    Digital Number System Calculator Using Intel Atom Kit

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    A number system is a set of rules & symbols used to represent a number. And, a number system calculator is a software calculator used to perform mathematical computations on number systems. The knowledge of number systems, their representation, arithmetic, compliments and inter-conversion of numbers between prescribed number systems is essential for understanding of computers and successful programming for digital devices. Understanding all these number systems and related terms/concepts requires allot of time and a large number of techniques to expertise. To overcome this problem, we propose calculating software which will cover and perform all the prescribed calculations within a fraction of second using Intel Atom Kit: The Inforce® SYS940X-01 with Linux as Operating System has capability of performing many applications. In this work its performance for various operations like, arithmetic’s, conversion from one to another system and the compliments of number in any required system is shown. Four most common number systems taken under the consideration are binary, octal, decimal, and hexadecimal. &nbsp

    Application of Adaptive Neuro-Fuzzy Inference Systems in Mobile’s Spam

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    The function of science is to explain reality logically. With the increased usage of the internet, spamming is the most typical problem that we faced every day. Service of mailing and web applications are much spammed, nowadays this expansion in the number of spam messages has turned into a significant issue. Accessibility of messaging services for a minimal price has come about in the expansion of spam messages. Spam location is attempting a direct result of the necessity for semantic analysis of the compact spam messages, which overall will for the most part have overlapping polarities. In this work, a portable spam order strategy is created in light of an Adaptive Neuro Inference System(ANFIS) containing Gini record fuzzy and Back-Propagation in machine learning. The methodology includes Gini’s index models for information indexes and a back-propagation-based neural network as the AI classifier. This paper presents the assessment of the introduced system based on the error, accuracy of classification, and the number of iterations. &nbsp

    The Double Laplace-Stieltjes Transform and their Applications in solving Integral and partial Differential Equations

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    Most phenomena in nature are represented using ordinary or partial differential equations which are easy to solve when combined with double integral transforms, Therefore, We find many previous studies talking about double integral transformations, the most famous of which is the double Laplace transform and the double Milline transform. In our research, we present a new double transform of a special nature, which is the double Laplace-Stieltjes transform, where we are found the relationship between it and the double Laplace transform, in addition to proving some of its properties and applying them in finding solutions to partial Differential equations and Integral Equations. &nbsp

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    International Journal of Scientific Research in Network Security and Communication
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