International Journal of New Practices in Management and Engineering
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Analysis and Design of Universal Shift Register Using Pulsed Latches
Full text linkPower utilization and die region space are the significant boundaries which are considered for structuring low level power outcomes. This paper put forward the structure of low force general move register and 4-piece counter utilizing pipe rationale. Since flip failures are an innate structure hinder in a few applications, different flip lemon are over viewed and executed in widespread move register and 4-piece counter. Flip lemon utilizing pipe rationale is viewed as dependent on the correlation of intensity and region. At last, a low force all inclusive move register and 4-piece counter is planned utilizing pipe rationale. The proposed USR and 4-piece counters are mimicked with various clock rate going from 100 KHz to 500MHz. Re-enactment of these flip flounders, the widespread move register and the 4-piece counters are finished utilizing Tanner device at 180nm innovation. The normal force and the PDP of USR are improved by 33% and 27% and further the normal force and the PDP of 4-piece counter are improved by 36.9% and 30.2% when contrasted and existing plan separately. So the put forward plan is reasonable for low level power and elite applications
Effective Morphological Transformation and Sub-pixel Classification of Clustered Images
Full text linkThe main aim of this research work is to perform the morphological operations with reduced time complexity and area complexity. Morphological operation is the key element in any image processing. Finding the maximum and minimum using a window of defined size will imply to the morphological dilation and erosion respectively. So the proposed algorithm should be fast in the comparison and sorting, this way the time complexity could be reduced. It’s believed that the anchor concept will fetch this cause. The idea behind this is it fixes a pixel and setting it as the center pixel all the surrounding pixels will be processed. Moreover this is now been implemented for rectangular structuring element. This paper attempts the same for flat and 3D structuring elements. Hyper-spectral Imaging is a developing zone of remote detecting applications. Hyper-spectral pictures incorporate more extravagant and better otherworldly data than the multi-spectral pictures got previously. Hyper-otherworldly pictures are described by an exchange off between the unearthly and spatial resolution. The principle issue of the hyper-ghostly information is the generally low spatial goal. For arrangement, the serious issue brought about by low spatial goal is the blended pixels. Blended pixels alluded to the pixels which are involved by more than one land spread class. In the proposed procedure another strategy is utilized to address the issue of blended pixels and to get a better spatial goal of the land spread characterization maps. The strategy misuses the upsides of both picture bunching methods and phantom dimming calculations, so as to decide the fragmentary plenitudes of the classes at a sub-pixel scale. Spatial regularization by Flank planning method is at last performed to spatially find the got classes at sub-pixel level
Advancements in Machine Learning Techniques for Multivariate Time Series Forecasting in Electricity Demand
Full text linkThe exact prediction of electrical energy usage stands as a vital operational tool for power system management while the evolving market landscape with rising data complexity continues to exist. The accurate prediction of electricity demand stands vital to produce optimized power generation and keep the electrical grid stable and support efficient use of renewable energy. MTS forecasting techniques for electricity consumption analysis take multiple variables which integrate weather elements and economic indicators with social nuances and environmental aspects. This study explores traditional ARIMA and VAR statistical models together with contemporary machine learning methods that include SVM and RF and GBM along with RNN and LSTM networks and their combination algorithms. This paper evaluates various techniques to identify major barriers in electricity consumption prediction particularly related to managing multidimensional non-linear and noisy data sets. The implementation of multiple variables leads to improved accuracy in forecasts since it surpasses what univariate models can achieve. The review delves into sophisticated forecasting approaches which merge statistical and machine learning approaches and deep learning methods along with discussions about crucial data preprocessing operations like normalization, missing value handling and feature development. The paper ends by discussing upcoming electricity consumption forecasting patterns including real-time data analysis together with explainable artificial intelligence technology and flexible predictive models for advanced energy system requirements. Further research is required to handle present-day limitations which prevent the use of models that combine high accuracy with scalability and real-time processing needs
Density Based Traffic Control System with Smart Sensing Of Emergency Vehicles
Full text linkPresent Traffic Light Controller (TLC) relies upon micro-controller and microchip. These TLC have restrictions as they are depend on pre-portrayed gear, which is filling in with respect to the program that doesn't have the versatility of adjustment on continuous reason. Owing to fixed time spans, orange and red signal’s holding up time is more and vehicle uses more fuel. To make traffic light leadership progressively beneficial, we abuse the advancement of new procedure called as “Density based traffic control system with smart sensing of emergency vehicles”. It is constructed mainly by using Magnetic Sensors for real world environment and by using IR modules for Model. The main objective of our project is to clear traffic efficiently by effective usage of the green signal time. In this system the density of the vehicle in a particular lane is obtained by the number of magnetic sensors kept in the road side which produces output signal with respect to the density of the traffic. Thus produced output signal is further processed by ARM microcontroller and according to the density obtained by the magnetic sensors the countdown time of the green signal is varied by the microcontroller and hence the usage of green signal even after all the vehicle pass by are prevented. In addition to this system our system also senses the emergency vehicle like ambulance that approaches the signal by detecting the RF signal transmitted by the Ambulance or other emergency vehicle with the help of RF receivers that kept at the road side and halts all the vehicles by putting red signal for all the four sides of road and puts special ‘green jeep signal’ for the emergency vehicle to pass by hence our system provide way for emergency vehicle. It can also prioritize the emergency vehicle with the help of RF transmitter and receiver. As the signalling board receives the RF signal, it turns the Corresponding lane ON, thus clearing the route for the emergency vehicle. DSS also analyses the pollution levels by placing a check over the vehicle emissions at the junctions. When the priorities of any two lanes clash, pollution levels are taken into account to provide the signals for them in turns. The gas sensors are fitted onto the signalling boards which help in calculating the pollutant levels
Histogram Based Data Cryptographic Technique with High Level Security
Full text linkHistogram shifting plays a major role in reversible data hiding technique. By this shifting method the distortion is reduced and the embedding capacity may be increased. This proposed work uses, shifting and embedding function. The pixel elements of the original image are divided into two disjoint groups. The first group is used to carry the secret data and the second group adds some additional information which ensures the reversibility of data. The parameter such as PSNR, embedding capacity and bit rate are used for comparisons of various image
Identification of Mouth Cancer laceration Using Machine Learning Approach
Full text linkThis Paper describes about Identification of Mouth Cancer laceration Using Machine Learning Approach .The SVM algorithm is used for this purpose. Image segmentation operations are performed using: Resizing an image, Gray scale conversion, Histogram equalization and Classifying the Segmented image using SVM. SVM is used to reduce the complexity faced in the existing system comprising of Texture Segmentation and ANN (Artificial Neural Networks) Algorithm. SVM is a simple Machine Learning algorithm when compared to ANN. The outcome of the paper is to segment and classify the Malignancy from the Non-Malignant region using the classifier SVM. SVM performs the classification based on the dataset that contains the trained images
An Arithmetic-Geometric Index for Different Signed Graphics
Full text linkA topological index, which is often referred to as a connectivity index, is a molecular structure descriptor that describes the topology of a chemical molecule based on its molecular network. Different topological indices are divided into groups according to their degree, spectrum, and distance. In this investigation, we computed and examined degree-based topological indices, including the positive and negative arithmetic-geometric indices ( and ). Index) and index in regular graphs, complete graphs, complete bipartite graphs, union of graphs, and join of graphs are further examined and derived. Provide examples to further clarify the theor
Analysis and Evaluation of MAC Operators for Fast Fourier Transformation
Full text linkArithmetic tasks are broadly utilized in Digital Signal Processing (DSP) applications. In this paper, a streamlined plan of the melded Add-Multiply (FAM) administrators is being investigated for the expanding execution. The direct plan of an AM unit is executed by apportioning a snake and afterward driving its yield to the contribution of a multiplier, increments essentially both region and basic way postponement of the circuit. The immediate recoding of the entirety of two numbers in its MB structure prompts a progressively effective execution of the intertwined Add-Multiply unit contrasted with the regular one, earlier recoding plans depend on complex controls in bit-level, which are actualized by committed circuits in entryway level. This new recoding plan and Modified CSA Tree, diminishes the basic way delay and decreases power utilization. This paper focuses on the extra decrease of dormancy and force utilization of CSA tree multiplier. This is cultivated by the utilization of Modified stall ADD-Multiply administrator and 4:2 compressor adders. Three elective plans of the proposed S-MB approach utilizing regular and marked piece Full Adders (FAs) and Half Adders (HAs) are being investigated as building squares
Intelligent Modulation Recognition System and its Implementation using MATLAB
Full text linkModulation type is one of the most significant qualities utilized in signal waveform recognizable proof and arrangement. ID of modulation has discovered applications in regions of observation, danger investigation and programming characterized radio. In this paper a calculation to distinguish the modulation plan of approaching sign within the sight of AWGN commotion is proposed. The calculation utilizes momentary highlights of the sign, for example, plentifulness, stage and recurrence. Measurable snapshots of these highlights are utilized to recognize ASK, PSK and FSK. The proposed calculation was reproduced and approved through recreation in MATLAB .The calculation shows a high distinguishing proof execution in satisfactory sign to-commotion proportion (SNR) extend
Voltage Protection and Harmonics Cancellation in Low Voltage Distribution Network
Full text linkNowadays low voltage distribution network is considered as worldwide future generation distribution network. But the major concern is harmonics generation and steps taken to cancel those harmonics. In our proposed work, low voltage distribution network is designed with low voltage and harmonics are cancelled in our method. The combination of current control unit and voltage control unit will give extra reliable power solution to increase the required capacity of low voltage grids. The high voltage protection gears are used in worst environment for low voltage and low current distribution network test is preferable to assess a variety of operation uniqueness. Therefore, it has few restrictions in implementation of economic in addition to process methodologies. In our work a 48V direct current base up-scale low voltage distribution network test is urbanized to allow the copy and surveillance of a variety of phenomenon of direct current distribution networks. The proposed system provide stretchy pattern ability by introduce S-connectors and T-connectors module that will be proscribed distantly, and near real time monitor function through by means of a data acquisition system associated toward the nodes. Each connector be able to calculate Power, Voltage and current with up to 250 kHz frequency. To calculate power quality and to understand the performance of the distribution network, frequency analysis is required along with collected data