bluuebunny/crossref_metadata_2025 huggingface dataset:
Prediction of particle level behavior in atmospheric air based on laws of physics of motion and geographic interpolation
Authors: Carrillo G , Carrillo G E
Published: December 2020

Given the global problem of high levels of pollutants in the atmosphere, it is essential to use tools to measure and determine these levels. Unfortunately, it is impossible to have devices that allow direct pollutants’ direct measurements in a place of interest. Due to this limitation, in this work, a computer tool was developed to predict contaminants’ behavior and their concentration levels in a reliable way. In this methodology, equations of the physics of motion were implemented to predict particles’ behavior in a given area and an interpolation technique based on the Kriging method. In the initial stage, a preliminary analysis of the pollution data of the city of Bogota, Colombia, downloaded from the Air quality monitoring network of Bogota, Colombia, was performed. In the next stage, the variables of most significant interest in the analysis were defined, and the data to be characterized is explored. Finally, the selected method’s calculation algorithm is implemented in Python, taking an ArcGIS library as a programming reference. From the results, it was possible to determine the contaminants’ levels for some regions of Bogota, Colombia, between values of 0.067 to a maximum weight of 0.4039 ¼g/m3, for January 2013.
Variable control tool in MATLAB for energy transformation processes
Authors: Cardenas Y , Carrillo G E , Alviz A , Carrillo G
Published: December 2020

During the stages of transformation of energy in a process, exercise control over the variables that intervene in it, improve its performance, and identify undesirable conditions in these. Thus, this study is developed as a graphical interface to implement a methodology for controlling variables of energy conversion processes, such as internal combustion engines. The control tool developed in MATLAB variables is based on multivariate statistics. The methods for developing this tool of Graphic User Interface is based on the statistics of principal component analysis and failure statistics such as T2 Hotelling and the Q statistic that allows the control of anomalies presented in the operation’s behavior. About the methodology, first, the input data are normalized, achieving standardization of the observation matrix vs. variables, then the spectral decomposition of the normalized data is performed, reaching the generation of the matrix of auto-values, allowing the age of the projection space of the data. With this based and delimited, it is possible to establish the ranges of observation of the mentioned statisticians. The result obtained from this research corresponds to software that allows the constant observation and analysis of the behavior of each variable of the generation engine. It describes the upper limit, lower limit, arithmetic mean, principal components, graphics of the statistics, and detects the failures in real times.
Improvement of Power Acquisition Characteristic on PV Generation System by Using Active PV Array
Authors: Itako K , Takeda Y , Kudoh T , Koh K
Published: December 2020

The PV generation system operates in maximum power of PV array by MPPT control of power conditioning system (PCS). However, there is a problem that maximum power of the PV array configuration greatly decreases by partial shadow. For this problem, the authors previously proposed the active PV array(APV) system which is able to extract total power of the maximum power of each PV panel with preset PV array voltage, equipping each panel with the buck-boost converter(Unit). This APV system is able to maintain the ideal P-V characteristics under all conditions. In this paper, the effect of this method is demonstrated by simulation and experiment. In this investigated condition, it is clarified that the generated power of the proposed APV system is 1.6 times, compared with the conventional PV array system.
CFD Analysis of Tidal Current Turbine Performance with Different Boundary Conditions
Authors: Badshah Saeed , Badshah Mujahid , Hafeez Noman , Jan Sakhi , Ur Rehman Zia
Published: December 2020

The outcome of Numerical methods such as Computational Fluid Dynamics (CFD) based on Reynolds Averaged Navier Stokes (RANS) is dependent upon selection of several critical parameters. The effect of boundary conditions, boundary flow modelling and turbulence numerics has been quantified in this study. Steady state RANS CFD simulation are performed by utilizing a Rotating Frame of Reference (RFR) model along with a Shear Stress Transport (SST) closure model. The simulated performance results were compared with experimental data over Tip Speed Ratios (TSR) from 2-9. Four different sets of boundary conditions that can possibly represent an experimental water channel were evaluated. The variation of boundary condition resulted in the variation of prediction error at different TSR’s. Critical variations were observed at the extreme operating conditions of minimum and maximum TSR’s. However, the C

P
prediction error at the optimum TSR was not much affected by the variation of boundary conditions.
Hierarchical Optimal Scheduling for Air Conditioner’s Load Aggregator
Authors: Xiaoyu XIE , Zhang Yongjun
Published: December 2020

In this paper, a scheduling framework based on air-conditioning load aggregator is first proposed. Then the split constant frequency air-conditioning load is optimized by minute level. The step function characteristic between the average air-conditioning load per hour and the temperature difference set at the beginning and the end of the time is obtained and linearized. A temperature difference-power model suitable for air-conditioning hourly scheduling is established. Secondly, aiming at the multiple load aggregators existing in the distribution area, this paper proposes a non-cooperative game model of air conditioning load aggregators. Considering the problem of discretization of control variables in the game revenue function, this paper introduces continuous intermediate variables, establishes a hierarchical optimization model of the game, and gives the proof that the hierarchical optimization of the game has a unique pure strategy Nash equilibrium solution and the solution method. Finally, the feasibility of the proposed method is verified by numerical simulation.
Assessment of Net Oil and Gas Reserves and Analysis of the Influencing Factors under Production Sharing Contracts
Authors: Gui-fang FA , Qian ZOU , Yanjing YI , Zhi-yu LI
Published: December 2020

Production sharing contract (PSC) is one of the most commonly used contract type in international petroleum cooperation practices, under which, contractors obtain net reserves composed of in kind “cost oil” and “profit oil” by taking risks, bearing exploration, development and production costs, paying royalties, income taxes and other fees to the government of the resource country (the host government). The net reserves owned by a contractor refer to the remaining economic recoverable reserves that the contractor can obtain during the remaining contract period, which represent the real revenue the contractor can realize. Taking Project XX in Africa for example, this paper analyzed the methods for estimating net oil and gas reserves under PSCs, discussed the impacts of production, decline rate, plan, prices, costs, profit oil sharing and taxes on net reserves from four aspects including technique, economics, commerciality and engineering. In addition, the paper also made sensitivity analysis of the factors having significant influence on net reserves, such as the oil production, oil prices, operation expenses and investment, and put forward some recommendations for optimizing field development strategies to maximize contractors’ economic benefits.
Experimental Study on the Performance of Vortex Tube Cooling Device on a Cooling Jacket
Authors: Fadhli Suhaimi Muhammad , Sheh Hong Lim , Hazwan Yusof Mohd
Published: December 2020

A vortex tube is an intriguing simple device which is capable of generating cold and hot streams from a single compressed fluid supply at room temperature. The vortex tube does not require any refrigerants or chemicals to operate which makes it an environmentally friendly device. Still, as a well cooling device, there are fewer or no research works that were conducted on the application of vortex tube. So, the application of vortex tube as a cooling device on a cooling jacket is less explored. Hence, the performance of this application on experimental research is unclear. Therefore, the objectives for this research are to determine the performance of vortex tube as a cooling device on a cooling jacket at different cold mass flow rate and also to determine the performance of vortex tube as a cooling device on a cooling jacket at different inlet pressure. The performance of vortex tube on the cooling jacket is experimented with different cold mass flow rate ranging from 30L/min to 90L/min and different inlet pressure ranging from 200kPa to 500kPa. Both parameters were with several condition, which are conducted at indoor condition, inside an air-ventilated room and outdoor condition, under the sunlight. At the end of the experiment, 90L/min and 500kPa were the optimum value for the performance of vortex tube. It can be concluded that the higher the inlet pressure supplied to the vortex tube, the lower the air temperature produced, and the higher the cold mass flow rate, enables lower cold air generated to the cooling jacket.
Thermal Oxidative Decomposition of Soybean Straw: Thermo-Kinetic Analysis via Thermogravimetric Analysis and Artificial Neural Networks
Authors: Xie T , Wei R C , Gong C Z , Wang J
Published: December 2020

Keeping in view the energy shortage problem, the bioenergy potential of soybean straw have been evaluated by thermos-kinetic study using thermogravimetric analysis and artificial neural networks. TG-DTG curves at 10, 20, and 30°C min−1 revealed that the thermal oxidative decomposition of soybean straw could be divided into three stages and the second stage (180 to 380°C) would be the most suitable for thermal conversion of soybean straw into energy and chemicals. Kinetics analysis results showed that the activation energy values of models ranges were: KAS (87.57-819.24 KJ mol−1), and OFW (92.01-790.85 KJ mol−1), respectively. The variation of activation energy indicated the thermal decomposition process of soybean straw is complicated and may be consisting of several reactions. Furthermore, an ANN model was applied to predict the thermal decomposition of soybean straw. The good fitness between experimental and predict data (R2
= 0.999) validated the accuracy of the model in predicting the mass loss of thermal oxidative decomposition process.
Assessment of Water Supply and Demand in the Lower Mahi Sub-basin using WEAP Model
Authors: ManiRanjan K , Shashi Ranjan K , Roshni T , Drisya J
Published: December 2020

This study deals with the future water demand assessment in Lower Mahi Sub-basin, Bihar, India using Water Evaluation and Planning Model (WEAP). The river Mahi is flowing through the Mahi sub-basin, which is a tributary to the Ganga river. Understanding and analyzing the past and present water supply and demand scenarios and prediction of future scenarios are indispensable for this area. In the WEAP model development phase, two scenarios are considered: past scenario (2004-2013), present and future scenarios (2016-2021) together. The water supply nodes used are Mahi river, groundwater and canals from Gandak river. The results from the trend of supply and demand shows that the sub-basin is water deficit for most part of year except during July to September. The water deficit is also observed during Rabi season when there is no rainfall or availability of surface water is nil for the crops, especially wheat. This results in more and more usage of groundwater and hence leads to groundwater depletion. By analyzing the results of the WEAP Model for the present and future scenario, a depletion in groundwater storage at a faster rate is observed with the existing climatic conditions and increased population, livestock and industry.
Surface water – Groundwater Coupled Modelling for Watershed Water Resources Sustainability Assessment
Authors: Husna A , Suwarman R , Ramdhan AM
Published: December 2020

There are limited studies in Cisangkuy Watershed which shows the water resources availability and variability with respect to changing climates and land use. Uncertainties due to climate change and population growth have created a critical water resources situation for Cisangkuy Watershed. These uncertainties come from undescribed quantification of surface water – groundwater interaction. Investigating spatio-temporal variability of recharge-discharge is a critical initial step for water-resource management. The main objective of this study is to set up a physically-based spatially distributed SWAT and MODFLOW for the analysis of the different hydrological and hydrogeological component. The objectives to be achieved include 1) identifying the characteristics and distribution of river stream recharge -discharge 2) assessing surface water and groundwater quantity. The result shows that calibrated SWAT-MODFLOW model can represent surface water – groundwater interaction in Cisangkuy Watershed spatio-temporally. Baseflow from aquifer discharge is main factor that give contribution to river discharge in study area, so we can conclude that Cisangkuy Watershed has a good potential of water resources on the low area, but also has high potential of disaster due to groundwater like flood and landslide.This study is expected to develop water resources management in Indonesia. So that water resources sustainability can be analyzed from the aspect of the quantity of surface water and groundwater.
Sensitivity analysis of the SWAT model to spatial distribution of precipitation in streamflow simulation in an Arctic watershed
Authors: Bui M T , Lu J , Nie L
Published: December 2020

This study approached a physically based, semi-distributed SWAT model to test the model sensitivity to the spatial distribution of precipitation. Ten scenarios of precipitation from five scattered rain gauges in an Arctic watershed Målselv in northern Norway were used as inputs to run the SWAT model. Streamflows were simulated. The model runs at monthly time interval based on the historical data of precipitation from 1979-2012. The study used statistical parameters, values of long-term average monthly streamflow and streamflow hydrograph between simulated and observed data for sensitivity analysis. The study found that the result of streamflow simulation is highly sensitive with spatial distribution of rain gauges input. For instance, the scenarios integrating rain gauge number 3, locating inside the watershed with lower precipitation amount than average of selected rain gauges, provided model unsatisfactory (statistical coefficient NSE < 0.5) in streamflow simulation. However, streamflow simulation is satisfactory (NSE: 0.5-0.6) at hydro-gauging station Lundberg far away from rain gauge 3. The hydrograph showed underestimated streamflow simulation in scenario 3,5,6-10 that integrated rain gauge 3, while scenario 1,2,4 that excluded rain gauge 3 showed reasonable agreement between simulated and observed flow. Underestimated streamflow was only found in scenario 3 and 5 at Lundberg. Moreover, the curves of average monthly streamflow showed that the simulated peak discharge in scenario 1,2,4 was performed better than the remaining scenarios.
Grid Search Based SVM Approach for Sea Level Rise
Authors: Pramada S.K. , Archana Sajith O , Sithara S , Thampi Santosh G
Published: December 2020

Sea level rise is one of the most damaging impacts of climate change. Rising sea levels leads to loss of coastal wetlands, coastal flooding, degradation of coastal ecosystem, sinking of islands and general loss of quality of life. Countries which are located in low-lying areas as well as small islands are concerned that their land areas would be decreased due to inundation and coastal erosion. In this paper, a hybrid wavelet and grid search based support vector machine was used for statistical downscaling of sea level using climatic variables. The results of the hybrid model were compared with the observed sea level data and the results indicate that the hybrid wavelet and grid search based support vector machine can be used for future sea level projection. Thus the effect of sea level rise on low lying island can be studied with the model.
A Passive Building Energy-Efficiency Evaluation Method Considering Human Thermal Adaptation with Seasonal Climate Change
Authors: Zheng W , Chang Y , Zhang L , Li W , Liu Y , Cho S
Published: December 2020

Under the premise of satisfying the human thermal comfort in the whole year, accurately evaluating the building energy-efficiency (BEE) through passive design can provide direct feedback and guidance for the passive design process. The scientific relationship between dynamic indoor thermal comfort benchmarks, outdoor climate change and passive building energy-efficiency design (PBEED) is a prerequisite for calculating BEE with passive design method. However, the current energy-efficiency effect evaluation method cannot reflect the dynamic change characteristics of the thermal comfort benchmark linked with the continuous dynamic change of the climate throughout the year. Firstly, BEE evaluation method in China was introduced, and energy conservation ratio calculating method was illustrated. Then, analyse and conclude 4 disadvantages of BEE evaluation method. Secondly, a new calculating method of PBEED evaluation considering human thermal adaptation with seasonal climate change was invented, including calculating model, some new concepts appeared in the model and calculating process of PBEED evaluation index. Finally, obtaining method of the PBEED evaluation index was proposed, including temperatures outdoors and indoors, dynamic thermal comfort zone. The results of this study will expand the application field of adaptive thermal comfort in building energy conservation, and will provide scientific support for accurately evaluating the passive building energy-efficiency design.
Research on the Aging Evaluation System of Public Environment in Communities from the Perspective of Sustainability
Authors: Mei Wen-Bing , Ou Sheng-Jung , Li Kun
Published: December 2020

The purpose of this study is to improve the quality of community-based care for the elderly, and to build an evaluation system for the aging of the community’s public environment. The research is carried out in two phases: the first phase is the policy specification and the literature statistics, the preliminary sampling of the appropriate aging evaluation indicators; the second phase is the questionnaire survey and exploratory factor analysis, extracting important evaluation factors.The research results showed that the evaluation system of community public environment suitable for aging people is composed of 4 dimensions and 24 indicators, the study suggested that construction standards and decision-making basis for the community’s public environment to be suitable for aging people when the community is under renewed and reconstructed situation.
The Indicators Constructed by FAHP and the Delphi Method to Evaluate Sustainable Development of Taiwan’s Indigenous Tribal Environment
Authors: Liu I. C. , Chiang Y. H. , Han C. J. , Liu Y. L.
Published: December 2020

The research aims to investigate the indicators for evaluation of sustainable development of Taiwan’s indigenous tribal environment. For that matter, the indicators for evaluation of sustainable development of Taiwan’s indigenous tribal environment are obtained from literature reviews and further 1nalysed through two questionnaire surveys by the Delphi method and the Fuzzy Analytic Hierarchy Process (FAHP).The research findings are summarized as follows: (1) Five first-class indicators and 24 second-class indicators for evaluation of sustainable development of Taiwan’s indigenous tribal environment are derived; (2) First-class indicators are life culture, art culture, historical site, natural environment and tribe experience according to their weights from high to low; (3) Nines key factors for evaluation of sustainable development of Taiwan’s indigenous tribal environment are celebration of festival, traditional cuisine, life etiquette & custom, architectural feature, ancient monument, traditional artistry, life experience, life style and industrial activity. The research findings as suggestions for sustainable development of Taiwan’s indigenous tribal environment will be submitted to the relevant organizations or other researchers who are interested in our research in their follow-up studies.
Gradient Boosting Tree for Land Use Change Detection Using Landsat 7 and 8 Imageries: A Case Study of Bogor Area as Water Buffer Zone of Jakarta
Authors: Handoko Juni , Herwindiati D E , Hendryli J
Published: December 2020

The land use change in Bogor regency need to be studied, since it acts as a water buffer zone for the sorrounding area, which includes the capital city of Jakarta. This study aims to analyze the land use changes in Bogor Regency using the gradient boosting tree model. Landsat 7 and 8 imageries of Bogor area in 2008, 2011, 2014, and 2017 are used as the case study. The images are cropped into sub-district level and classified into four classes, which are green area, partial green area, impervious land, and partial impervious land. By comparing two images of classification result between two different years, the land use changes can be determined. This study shows that most land use changes from 2008 to 2017 occur in Sukamakmur sub-district with a percentage of 69.31% (134.0757 km2). Based on the type of land, most land use changes are from impervious area to green area.
Exploiting Artificial Intelligence to Enhance Healthcare Sector
Authors: Sivalenka Vishali , Aluvala Srinivas , Fatima Naheer , Raghava Kumari D , Sandeep CH
Published: December 2020

The resonance of the Artificial Intelligence (AI) makes it familiar in the lives of current generation. Artificial Intelligence is concerned to build smart machines possessing capability to perform different tasks without any human interaction. So, these machines are considered as a replica of human intelligence. The predictions and processing of large amount of data performed by artificial intelligence can be faster and more accurate compared to human beings whereas humans take a lot of time to analyse the huge volume of data. As the technology is upgrading gradually in the present generation, artificial intelligence created its own significance in the market through its emerging technologies such as machine learning and deep learning. Many small and large sector enterprises have been started utilizing the artificial intelligence. It is existing in many forms such as SIRI, ALEXA etc. and also been implementing in many areas such as healthcare, education, business, finance, manufacturing, banking and more. This paper focuses on and presents the implementation, impact of artificial intelligence in healthcare.
Cognitive ability to improve driving in aging adults suffering with visual and hearing impairments with yoga and exercise
Authors: Martha Sheshikala , Ahmed SyedMusthak , Jose Mary G. , Yadav Bonthala Prabhanjan , Gouthami S. , Sridevi M.
Published: December 2020

Visual and Hearing impairments are the one of the major cause for accidents. In this paper we discuss the major impacts of Visual and Hearing Impact while driving and the remedies that can be used to provide the solution to the Problem. Impairment can be defined as the abnormality or mis-functionality of a physical body or a system. We discuss the types of disease that are affecting both vision and hearing impairment and the types of exercises that are required to overcome these diseases empowering Cognitive Abilities. Yoga plays a major in improving the strength of Visual and Hearing impairments, so we discuss the exercises that are required to improve the impairments.
Analogous Approach towards Performance Analysis for Software Defect Prediction and Prioritization
Authors: Smitha Chowdary Ch. , Edamadaka Gayathri , Raghavendra Sai N. , Jogendra Kumar M.
Published: December 2020

This exploration paper proposes the Software frameworks assume a significant part in everyday human lives, and hence making quality programming framework is an indispensable issue. A lot of work is being done here. One of the principle key among them is programming deformity forecast (SDP). Imperfection Prediction is a twofold request issue the spot a particular item module will be requested as broken however those blunder might be more great more than 0 and as Non-Defective on those slip will be identical to 0. A number for programming estimations additionally measurable models have been framed to this explanation behind existing. Larger aspect of the deformity Prediction models would make using AI in techniques. That execution of various models can be contemplated using the boundaries like Accuracy, hit rate and bogus alert rate. In this exploration covers on the different examinations done on the region of programming imperfection forecast in the previous not many years lastly another framework is proposed.
Various signals used for device navigation in BCI production
Authors: Janapati Ravichander , Dalal Viswas , gupta Rakesh sen , Anuradha P , Raja Shekar P V
Published: December 2020

With computer hardware development in recent years it has become easier than in earlier centuries to resolve problems in machine learning and computer vision. This has led to a widespread interest in EEG-based brain computer (EEG-BCI) interfaces, which can be used to support a number of support technologies which benefit from the hands-free and personal thought translation in this area. However, most analysis is more practical than evidence-of-concept. Therefore, some technological advances are being developed to allow seriously weakened engine systems to be used temporally in a 2D or 3D virtual environment, such as multiple sclerosis, amyotrophic lateral sclerosis, New technologies and rising developments in automation technologies, In bringing new technology to a continuously diverse population, we are confronted with new challenges. However, in recent years no one has studied general patterns for web applications with different aspects of the BCI interface architecture. In this study, we examined how EEG-BCI research has developed over the past decade to explore the latest trends in EEG applications. In this article, we have researched the review of articles BCI articles for each signals and functionality.
Cancer prediction for type-2 diabetes using machine learning
Authors: Malathy V , Shilpa N , Anand M , Swathi N , Elavarasi R
Published: December 2020

Type-2 diabetic patients may easily get suffered from cancer. The presented work in this paper predicts whether the diabetic patient has got cancer problem or not. If cancer is identified in the patient, the type of cancer such as breast cancer, colon cancer and liver cancer is classified. The parameters associated with cancer and diabetes are recognized and collected. Then the collected dataset is preprocessed. During preprocessing the null values in the dataset are replaced with mean values. The dataset is now ready for training. Cancer disease prediction is done by breast cancer, colon cancer and liver cancer. To classify the cancer type, random forest algorithm is used.
Solar power generation system with IOT based monitoring and controlling using different sensors and protection devices to continuous power supply
Authors: Rajeshwar Reddy K , Arabelli Rajeshwar Rao , Rajababu Durgam , Mahender Kommabatla
Published: December 2020

IOT technology, now a day performs very crucial role in industrial aspects related to safety, cost, production and maintains. The cost of renewable energy equipment is much lower, and large-scale industries are encouraged to set up solar photovoltaic systems and maintainers objects that are very useful for high power consumption. This solar photovoltaic system requires a better automation of the equipments, controlling, monitoring plants using remotely with different types of sensors that are interfaced with the system equipments and then have to identify the problems related to inaccessible locations in the industry. Using IOT technology for controlling and generating solar photovoltaic power can have a significant impact on the performance, monitoring and control of the plant using various wireless communication technology methods and then eliminating interrupting problems in a very short time. In this paper, we have implemented a solar power generation and tracking system with IOT sensors and produced continuous power.
Novel Hybrid MIMO Detector for Spatial Multiplexed MIMO System
Authors: Umamaheshwar Soma , Mahender Kommabatla , Gopal Maisagalla
Published: December 2020

The need of data transmission has recently increased dramatically and the promising MIMO technology has been employed to preserve reliability. It can achieve exceptionally enhanced spectral proficiencies by adopting several antennas both at the source and the receiver. However, complexity of several detection schemes escalates because of tremendous increasing of customers and antennas. This paper proposes novel hybrid MIMO detection (NHMD) method to compromise the complexity and the hardware design challenges. The key objective is to develop a less-complex hybrid detection system to enhance hardware execution suitability without negotiating the performance of the bit error rate. The proposed NHMD method combines conventional linear detectors such as zero-force (ZF) and minimum mean square error (MMSE) with the K-best detector for quality enhancement. It introduces an optimal differential evolution (ODE) algorithm that selects detector using multiple constraints. Moreover, this method uses parallelism process to reduce the number of arithmetic logics. The proposed NHMD method has been done for different antenna configurations (2×2, 4×4) and implemented on Xilinx tool with different FPGA families. The simulation results confirm that NHMD method consumes less hardware’s, power and higher throughput without affecting BER performance.
Radiation Hardened Circuits in Multiple Harsh Environments
Authors: Adupa Chakradhar , Chandhra Prakash T , Ramchandar Rao P. , Tarun Kumar J. , Rajendra Prasad Ch.
Published: December 2020

Semiconductor electronic devices and Circuits most of the times there is a possibility is that they will be exposed to the harsh environments where they may exposed to ionization radiation environments and due to that the circuits may get malfunctioned and the total modules of the system may get collapsed so there is need of RADHARD circuits. Usually these RADHARD circuits are used in nuclear reactors And Space Application circuit Modules as well as in the device internal modules where the circuits should run without any functional Interruption due to the ionization Radiation Effects. Actually RADHARD is a Procedure of Designing a electronic circuit Such that, the circuit Will Function in ionization radiation affected areas Without Fail. Even when any sort of Ionization Effects are Present there. we preferably design these kind of Circuits Because there is a huge need of these circuits to work accurately and efficiently for the modules which we design especially in Nuclear Power Plants And Space Equipments Space Crafts, Military Aircrafts, Satellites, Nuclear Power Plants, And Nuclear Power Weapons, etc.. Because in these applications the electronic circuits are most of the times effected by Ionization Radiation.
Cognitive User Mobility Using Cooperative Spectrum Sensing
Authors: Sandeep Kumar V , Juluru Tarun Kumar , Ramchandar Rao P. , Ravi Kiran K
Published: December 2020

The shadow effect and multi-path can be partly eliminated by the cooperative spectrum sensing. At present research on cognitive use based on cooperative spectrum sensing is in static state, the cognitive user mobility is affected by the cooperative spectrum sensing performance. The mobility of the cognitive user is considered in this paper and a dynamic cooperative spectrum sensing model is put forward based on the centralized spectrum sensing. It shows that PU is static and other cognitive user travelling in a straight line at varying velocity in the model. From the simulation results it is observed that dynamic cognitive user cannot cooperative with the static cognitive user spectrum sensing by fusion rule.
Smart Traffic Junction Using Raspberry Pi
Authors: Mahesh Kumar G. , Kumaraswamy Eelandula
Published: December 2020

In present situation, use of vehicles is rapidly increasing all over the world, particularly in urban areas. In the recent years, the numbers of vehicles on roads are arising at an exponential rate. This increase is accomplished by the road accidents and signal jumping is the major cause. In future, a traffic control system of smart features is an important issue as the people using the road increase and the existing resources and infrastructures are narrow. An intelligent traffic control system is designed to overcome the increasing demand of all these essentials. A system should be designed to optimize the control of traffic. This paper will express the improvement of traffic reduction largely in a city. Management of traffic is a sturdy case. With several junctions, the difficulty enhances as the traffic state increases. By redefining the threshold values for a real time application, an excellent way of improving the traffic is proposed. By using RASPBERRY PI controller performing the processing of real time data obtained from sensors, Smart traffic junction using Raspberry pi based light control system is implemented as key role. This concept is that incoming vehicles at a traffic junction is outfitted with a retractable barrier. When there is red light at the traffic junction, the barrier rises and widely blocks the incoming vehicles and when there is green light at the traffic junction, the barrier retracts. Thus, this project will control traffic on four-way roads based on traffic control barriers. With this system, there will be less traffic jams, emergency vehicles will reach the destination in time and the country will be developed. So, this intelligent system will help us to control traffic in more autonomous way.
Acid resistance behaviour of Binary blended Geo-polymer Mortar
Authors: Poongodi K , Saravanan R , Murthi P , Shyam Sundar G , Gobinath R
Published: December 2020

An investigation on the impact of blended combination using Ground granulated blast furnace slag (GGBS) and Metakaolin (MK) in geopolymer mortar was carried out and presented. The geopolymer is a new generation green binding material and it has replacing total cement usage. Sodium silicate and sodium hydroxide were utilized as alkaline activator solutions for the development of geopolymer mortar and maintain the rati between the solutions as 2. The sodium hydroxide solution molarity was maintain as 8M. The GGBS was replaced with MK from 0% to 100% with the increment level of 20%. The strength and acid resistance behaviour of blended geopolymer mortar were investigated under ambient curing condition. The results obtained from this investigation indicated that the 60% replacement of GGBS by MK produced higher compressive strength and lesser absorption behaviour in addition to the higher resistance to the acid attack.
Strength Properties of Bamboo Fiber Reinforced Concrete
Authors: Kumarasamy Karthikeyan , Shyamala G , Gebreyowhanse Haftom , Kumarasamy
Published: December 2020

A comparative study of the experimental results of the properties concrete with variable percentage of ratios natural fiber with Concrete. The Bamboo was used in structural element like supports, columns, roofs etc. and in the construction of the building. For the construction work concrete is used as the basic materials. The concrete is strong in compression but fragile in the tensile strength. It has become involved in making concrete using natural materials. Bamboo fibre with high tensile strength is expected to contribute significantly to quick growth, large growth distribution and low-cost earthquake-resistant construction and seismic retrofit skill. This thesis explores the mechanical properties of reinforced concrete made of bamboo fibre. In order to study the basic concrete properties such as compressive power, split tensile strength, this research was carried out to study the basic concrete properties such as compressive strength, split tensile strength and Flexural strength by adding in volume of concrete at 0%, 0.5%,1.0%,1.5%,2.0% and 2.5% with concrete and finally the results were compared with conventional concrete and bamboo fiber concrete.
Experimental Investigation on Conventional Rebar RC Column with Non-Conventional Prefabricated Cage System
Authors: Gurumoorthy N , Rajesh Kumar K , Sivakumar S , Chandana P , Vinod Kumar M , Vandhiyan R
Published: December 2020

A new steel reinforcement is recommended in the name Prefabricated Cage System (PCS) in the column. PCS is a non-conventional prefabricated cage reinforcement system that allows for simpler, quicker and more durable construction which can be utilized in Reinforced Concrete (RC) columns to replace traditional longitudinal and transverse steel. Besides having alike or greater strength correlated with the traditional reinforcement given in columns, the PCS decreases the construction schedule time and reduces the overall construction expense. The PCSwas manufactured through punching or cutting hollow steel tubes or plates by perforation, and PCS costs are often almost equal to traditional rebar reinforcement. The construction time can be greatly decreased by using PCS. In this article, instead of two types of traditional rebar reinforcements, two types of perforations were used in PCS reinforcement. Comparative research was performedfor the columns under axial loading among the PCS reinforcement and the traditional rebar reinforcement. Test results showed that the axial load carrying capacity of PCSspecimens was comparable or superiorto that of conventional reinforced concrete columns.
A Comprehensive Review on the Transmission System of Electrical All-Terrain Vehicle
Authors: Vamsi GDS , Sheriff Mohammed Ajmal , SilvisterRaju John
Published: December 2020

The purpose of this study is to explore the differences between the traditional or gasoline All-Terrain Vehicles (ATV) and the electrical ATVs. From the previous researches, it is evident in recent decades that electrical vehicles are environment-friendly and do not produce polluted gases to the environment. The research provides important insights about electrical vehicles and advantages over gasoline-powered ATVs. The paper highlights the use of electric motors with different types of batteries and strengths that make electrical ATVs highly effective as a “low performance” vehicle for simple activities. With the extensive literature review and comparative analysis, the paper indicates important findings that the transmission or the power drive system enhances the performance of the motor due to the use of a differential gearbox. The paper concludes that electric motor delivers better load resistance and effective performance.
International Currency Translator using IoT for shopping
Authors: Sai baba CH.M.H , Hrushikesava Raju Dr.S , Santhi M.V.B.T , Dorababu S , Saiyed Faiayaz waris Er
Published: December 2020

Now-a-days, there is a bar code or QR code reader that reads bar or QR code on the item and evaluates as a price. In the view of international passengers need, an app with integrated sensor to be built that caters needs of international customers or passengers. Especially, those passengers who would like to do shopping at air ports or intermediate cities, there this IoT based app will translate the one country’s money to another country’s money. Hence, the proposed IoT for translation of your currency into desired country currency without any intermediate brokers who will charge some percentage than the defined service charge of that country. This proposed Internet of Things (IoT) app is built by keeping international customer service into consideration and the yields many advantages such as accuracy without loss or profit, minimization of brokerage service charges, and transparency among the countries tax service rules. The proposed app with integrated sensor feeds the input amount into desired country’s currency by taking service rules of the country. The performance of this IoT is demonstrated in results and its working is sketched in the novel app. In this, GPS is used to take the location of the country to which the source currency to be translated.
Fabrication of a Glass Fibre Reinforced Composite Rotor Disc for a bicycle Disc brake
Authors: Ande R , Alok G , Gulati P
Published: December 2020

As we move towards more sustainable livelihood there has been a certain increment in the usage of eco-friendly transport medium. Even corporate and non-corporate organisations have started adopting non-pollutant vehicles such as bicycles, solar-powered vehicles etc. As there have been many technological advancements in the recent past even bicycles have been considered a fast and easy medium of transport thereby requiring efficient and effective safety parameters concerning structural and integral stability. As it is known that there has been a constant growth in the study of materials being used for braking applications, depending upon the economic and performance factors many investigations are ongoing in this field. Brakes play a vital role in controlling the speeding vehicles as in today’s bicycles. In order to provide a better efficient and economical braking system for bicycles, a rotor disc made of Glass Fibre Reinforced Composite (GFRC) was studied along with the conventional rotor discs. Upon testing and analysis factors affecting the performance of vehicles such as weight ratio, braking efficiency, durability, impact strength and few other material characteristics were studied for use and fabrication. GFRC was found to be a promising material to be used for the fabrication of rotor disc which is durable, efficient and economical.
Performanceof 1-ϕGIS withandwithoutdielectric coating
Authors: Subrahmanyam KBVSR , Balakrishna K. , Sucharitha P.
Published: December 2020

In Gas Insulated Substations (GIS), a free conducting particle can approximate any shape. If the conductor surface is not smooth and rough, then dielectric strength will be lost. So, to regain the dielectric strength, which was lost, the conductor inner surface is coated with a dielectric material of epoxy resin for which the dielectric strength can be regained. In this paper, work of simulation is done forvoltage class 132kV, 145kV,220KV and 245KVin a 1-ϕGIB for Al & Cu particles and peak radial movement was found. All the simulation analysis was carried out and resultsare shown in detail.
Simulink implementation of three-phase PWM rectifier using five-level cascaded H-bridge MLI configuration
Authors: Niharika Seelam , Priya Hari , Sucharitha P.
Published: December 2020

Ability of multilevel inverters (MLI) to operate with matured medium power electronic devices has enhanced their prominence for active front converters in various applications such as drive control, battery energy storage systems and PV/Grid integrated systems. In short, Active front end (AFE) converters are regenerative rectifiers incorporated to, simultaneously regulate dc-link voltage and ensure unity power factor at source terminals. Realizing the significance of MLI based active front end converter, this paper presents Simulink implementation of MLI based active front end converter, using most popular classical MLI i.e., cascaded H-bridge. Imposing level shifted and phase shifted carrier arrangements, implementation PWM for CHB is demonstrated and MATLAB simulation results for both open loop and closed systems are presented.
Controlled active power generation with multi-terminal HVDC system using modified grey wolf optimization
Authors: Deshmukh Ram , Shiva Chandan Kumar , Vedik B. , Kumar Ritesh , Vamshidhar K.
Published: December 2020

This study is focussed on the integration of wind farm connected through high voltagedirect current (HVDC)link in the study of load frequency control (LFC). In the study, the designed test system is an interconnected two-area multi-generating unit power system. In each area of the studied test system, the generating sources are reheating thermal, hydro, gas, nuclear generating units, and the wind farm which is connected through the HVDC system. In the study, important physical constraints which are related to system dynamics like time delay, governor dead band and generation rate constraint are considered for the effective LFC study. The primary contribution of the work is to show the impacts of a wind farms through the multi-terminal HVDC system in LFC task. The concept of inertia control and droop control of the wind farm are used in the paper for primary frequency control. For LFC model design, modified grey wolf optimizer algorithm is taken into consideration for the optimal values of proportional-integral-derivative controller gains.
Single and double LDN configuration analysis with cascaded H bridge multilevel inverter
Authors: Sathyavani B , Tara Kalyani S
Published: December 2020

A multilevel converter can be actualized in numerous distinctive ways for a rising number of output voltage levels, increasing levels have continuously been a major inspiration within the investigate of multilevel inverters (MLI) for the reduction of total harmonic distortion (THD) with a smaller number of power devices. This paper proposes a level doubling network (LDN) and utilizes this to nearly double the number of voltage levels of a multilevel inverter topology and addition of another LDN for the development of two more output voltage level. This network sustains the merit of even loading of the distinct cell for a symmetric MLI whereas the approach is appropriate to all the existing arrangements, the unit works best for cascaded H-bridge topology, Operation of the symmetrical and unsymmetrical MLI with LDN is verified by MATLAB simulation result.
Design of Parallel Prefix Adder and Subtractor using Majority Logic Formulations
Authors: Gampala Divya , Srinivas L , Qureshi Vaseem Ahmed
Published: December 2020

The New Technology is quantum dot cellular automata at Nano metric scale, which has more focal points like lower area (PLBs) requirement and low Power Consumption. It can not be smaller than the present size transistors. The QCA solution applies to one of the alternative ways to resolve this physical edge. We generated AND gate, OR gate and NOT gate with this QCA invention. With the availability of universal gates in this article, we are allowed to execute any digital logic operation by using majority gates, which have the highest quality class contestant features and achieve the best area lap-delay compromise, such as Brent-Kung Adder(BKA), Kogge stone Adder(KSA), ladner fischer adder(KSA). At last, the adjustments such as delay (speed), power usage, field, ADP and PDP were considered.