Volume 9 | Issue 6 |

 Abstract

Radar applications require waveform sequences with maximum autocorrelation and minimum cross correlation. Attaining such waveform sequences is a complex multivariable problem. So the tricky of waveform design stated above is a thought-provoking problem. Several global optimization algorithms like ant-colony algorithm, tunneling algorithm, genetic algorithm, bat algorithm, were stated in the literature for solving the problem of waveform design. The paper targets at the design of optimal set of Binary Sequences using hybrid Particle Swarm Optimization Algorithm which makes use of Hamming Scan Algorithm for Mutation. The main advantage of HSA Algorithm is it enhances the search space of PSO, thereby preventing the local optimum trapping of PSO. The synthesized Binary Sequences using Hybrid PSO have improved autocorrelation properties than standard PSO.

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Creative Commons Attribution 4.0 and The Open Definition

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Weather Prediction is for the most part worried about the forecast of climate condition in the given future time. Weather prediction give basic data about future climate. Predicting the weather is fundamental to help planning generally advantageous and the most exceedingly terrible atmosphere. Here K-Means Clustering algorithms is used to identify the variation in the weather condition in terms of Temperature, Humidity, Wind Speed, Pressure and Weather. Weather predictions are significant for arranging our everyday exercises. Farmers need data to enable them to anticipate the planting and gathering of their yields. Prediction of weather condition is essential for various applications like Agricultural,Industry,Air Traffic, Marine, Forestry,Army and navy etc

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 Keywords

Weather, k-means, clustering, Prediction,

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Currently, the differential function has been widely used in transformer protection relay. However, the main issue of this technique is assigned to the relay mis operation during the presence of inrush currents and current transformer (CT) saturation. In the literature, these limitations have been overcome with the use of tools based on artificial intelligence and signal processing, such as the methods based on artificial neural networks and wavelet transform. This paper proposes a method based the ANNs and wavelet transform to detect and classify disturbance in the power transformer accurately. The algorithm uses wavelet based disturbance detector in order to detect any disturbance related to a power transformer, whereas a neural network based routine is used to classify the disturbance type (internal fault, external fault and transformer energization) appropriately, as well as to classify the internal faults. Several events were simulated, such as external and internal faults, with variations of fault resistance, fault inception angle, and fault type parameters, as well as transformer energizations. The method presented an excellent success rate regarding the correct classification of the disturbance as well as an accurate fault classification.

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 Keywords

Artificial neural networks (ANNs), current transformer saturation, differential protection, power transformers.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Gloves, Hand Gesture, Umpiring

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Creative Commons Attribution 4.0 and The Open Definition

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Tryptophan, sleep pattern, lockdown, COVID-19, stress, protein intake

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Creative Commons Attribution 4.0 and The Open Definition

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Smart contracts are is a self-executing contract that automatically executes when pre-defined conditions are met including financial services industry. Smart contracts, which are enabled by blockchain or distributed ledgers, have been held as a solution to many of the issues associated with traditional financial contracts, which are simply not designed for the digital age. Financial intermediaries raise overhead expenses and enhance regulatory requirements while enabling interoperability for the financial system and lowering risk. This concept aims to adopt smart contracts that will lead to reduced risks, lower administration and service costs, and more efficient business processes across all major segments of the financial services industry.

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Investment, block technology, Peer-peer-computing, smart contract, Finance

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Descriptive type answer, Keyword Extraction Algorithm, Latent Semantic Analysis, Self Organizing Map.

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Creative Commons Attribution 4.0 and The Open Definition

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Online FIR System is the Computerization of present manual system of Police Stations. There are many flaws and shortcomings in the present system. The present system is a manual system. In case of present manual system all the record is kept in documented form and stored in various types of registers. The manual system has no proper system for record storage and storing the information about crimes and criminals. The present system of police is not automated. The documentation of criminal records is done manually. Case files are dumped in heaps while some are kept on shelves. These important documents quickly get dusty and because of lack of proper storage, some criminal documents are seriously damaged. With this kind of situation, it becomes highly difficult and even impossible to track down known criminal, access past criminal history of a suspect and know the status of some concluded cases. In police stations all the file work is done by the staff, so burden of work leads to the criminal's information to be delayed. There are also problems of record storage, updating, backup and recovery and redundancy of data. To overcome the problems in present system we design such a computerized information system, which is free of all the flaws, present in the manual system of the institute. As computer is one of the leading technologies nowadays, so we propose a computer-based system that will fulfill the requirements of the police stations easily and will be the solution to the problems faced by Police stations. It will facilitate both the user as well as administrative staff of the Police Stations. Computerized system provides accuracy, security, and reduced redundancy, reduction of work load, backup facilities and faster information retrieval.

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Cybercrime, speech-to-text, language translation, user feasibility and compatibility, complaint status ,tracking, monitoring system

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This paper is analysis problem in logistic transportation, empty truck problem and importance of route planning Logistics transportation between cities are subject to considerable slow queues and congestion, revealing a lack of medium and/or short-term logistic planning. One of the causes is the number of trucks travelling with empty containers, performing one-way trips, from one city to another city. This issue may be reduced by combining trips, i.e., after bringing goods to the (export trip), a truck should, when possible, carry goods from that city to the origin or a nearby city (import trip). We investigate a combinatorial optimization drawback wherever a collection of import/export/inland journeys should be combined so as to reduce total traveling time, that successively reduces the amount of empty trucks traveling to/from the cities. Traffic blockage wastes time, energy, and causes pollution. during this paper, we have a tendency to propose associate application taking advantage of transport communications, specifically dynamic route planning. In dynamic route arranging, the route from a travel origin to its destination, rather than being statically decided at the travel beginning time, is occasionally recomputed according to real-time traffic information. Also, This paper investigation the issue almost the transportation in logistics. And proposes the idea to decrease transportation cost and increment client fulfillment by applying ITS (intelligent transportation system) technology and the other technologies.

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 Keywords

Trips Combination, Combinatorial Optimization, GPS, ITS, Logistic, Transportation, Management, Carbon emission.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition