bluuebunny/crossref_metadata_2025 huggingface dataset:
The Influence of User Generation Differences on Individual Performance in Using Information Technology
Authors: Widagdo P P , Susanto T D , Setyadi H J , Wardhana R , Taruk M , Pakpahan H S
Published: February 2021

The effect of different user generation in an organization is one of the factors that cause the decline of information technology user, this is due to the aging and characteristic difference factors of each user generations, so they impact individual performance in using information technology. Organization have user generation with very diverse age range, then the user information technology must have compatibility, flexibility, and ease in assisting completing tasks. This research is quantitative with analytical methods using Partial Least Square Structural Equation Modeling (PLS-SEM) at Mulawarman University in the generation. This study aims to identify and prove the influence of each generation of different users (Generation Y, Generation X, and Generation of Baby Boomers) on the performance of individuals in using information technology. Generation Y it was proven to be superior because the task characteristics had a significantly stronger influence than generation X and the generation baby boomers which was at the 0.05 level of significance. This study is useful for organizations in identifying the influencing factors from the real problems faced by user generation and assisting strategic decision making in order to improve information technology performance.
The economic and environmental costs and benefits of the renewable fuel standard
Authors: Chen Luoye , Debnath Deepayan , Zhong Jia , Ferin Kelsie , VanLoocke Andy , Khanna Madhu
Published: February 2021

Mandates, like the renewable fuel standard (RFS), for biofuels from corn and cellulosic feedstocks, impact the environment in multiple ways by affecting land use, nitrogen (N)-leakage, and greenhouse gas (GHG) emissions. We analyze the differing trade-offs these different types of biofuels offer among these multi-dimensional environmental effects and convert them to a monetized value of environmental damages (or benefits) that can be compared with the economic costs of extending these mandates over the 2016–2030 period. The discounted values of cumulative net benefits (or costs) are then compared to those with a counterfactual level of biofuels that would have been produced in the absence of the RFS over this period. We find that maintaining the corn ethanol mandate at 56 billion l till 2030 will lead to a discounted cumulative value of an economic cost of $199 billion over the 2016–2030 period compared to the counterfactual scenario; this includes $109 billion of economic costs and $85 billion of net monetized environmental damages. The additional implementation of a cellulosic biofuel mandate for 60 billion l by 2030 will increase this economic cost by $69 billion which will be partly offset by the net discounted monetized value of environmental benefits of $20 billion, resulting in a net cost of $49 billion over the 2016–2030 period. We explore the sensitivity of these net (economic and environmental) costs to alternative values of the social costs of carbon and nitrogen and other technological and market parameters. We find that, unlike corn ethanol, cellulosic biofuels can result in positive net benefits if the monetary benefits of GHG mitigation are valued high and those of N-damages are not very high.
Is the efficacy of satellite-based inversion of SO2 emission model dependent?
Authors: Li Nan , Tang Keqin , Wang Yi , Wang Jun , Feng Weihang , Zhang Haoran , Liao Hong , Hu Jianlin , Long Xin , Shi Chong , Su Xiaoli
Published: February 2021

Satellite-based inverse modeling has the potential to drive aerosol precursor emissions, but its efficacy for improving chemistry transport models (CTMs) remains elusive because of its likely inherent dependence on the error characteristics of a specific CTM used for the inversion. This issue is quantitively assessed here by using three CTMs. We show that SO2 emissions from global GEOS-Chem adjoint model and OMI SO2 data, when combined with spatial variation of bottom-up emissions, can largely improve WRF-Chem and WRF-CMAQ forecast of SO2 and aerosol optical depth (in reference to moderate resolution imaging spectroradiometer data) in China. This suggests that the efficacy of satellite-based inversion of SO2 emission appears to be high for CTMs that use similar or identical emission inventories. With the advent of geostationary air quality monitoring satellites in next 3 years, this study argues that an era of using top-down approach to rapidly update emission is emerging for regional air quality forecast, especially over Asia having highly varying emissions.
Estimating PM2.5-related premature mortality and morbidity associated with future wildfire emissions in the western US
Authors: Neumann James E , Amend Meredith , Anenberg Susan , Kinney Patrick L , Sarofim Marcus , Martinich Jeremy , Lukens Julia , Xu Jun-Wei , Roman Henry
Published: February 2021

Wildfire activity in the western United States (US) has been increasing, a trend that has been correlated with changing patterns of temperature and precipitation associated with climate change. Health effects associated with exposure to wildfire smoke and fine particulate matter (PM2.5) include short- and long-term premature mortality, hospital admissions, emergency department visits, and other respiratory and cardiovascular incidents. We estimate PM2.5 exposure and health impacts for the entire continental US from current and future western US wildfire activity projected for a range of future climate scenarios through the 21st century. We use a simulation approach to estimate wildfire activity, area burned, fine particulate emissions, air quality concentrations, health effects, and economic valuation of health effects, using established and novel methodologies. We find that climatic factors increase wildfire pollutant emissions by an average of 0.40% per year over the 2006–2100 period under Representative Concentration Pathway (RCP) 4.5 (lower emissions scenarios) and 0.71% per year for RCP8.5. As a consequence, spatially weighted wildfire PM2.5 concentrations more than double for some climate model projections by the end of the 21st century. PM2.5 exposure changes, combined with population projections, result in a wildfire PM2.5-related premature mortality excess burden in the 2090 RCP8.5 scenario that is roughly 3.5 times larger than in the baseline period. The combined effect of increased wildfire activity, population growth, and increase in the valuation of avoided risk of premature mortality over time results in a large increase in total economic impact of wildfire-related PM2.5 mortality and morbidity in the continental US, from roughly $7 billion per year in the baseline period to roughly $36 billion per year in 2090 for RCP4.5, and $43 billion per year in RCP8.5. The climate effect alone accounts for a roughly 60% increase in wildfire PM2.5-related premature mortality in the RCP8.5 scenario, relative to baseline conditions.
What conditions favor the influence of seasonally frozen ground on hydrological partitioning? A systematic review
Authors: Ala-Aho P , Autio A , Bhattacharjee J , Isokangas E , Kujala K , Marttila H , Menberu M , Meriö L-J , Postila H , Rauhala A , Ronkanen A-K , Rossi P M , Saari M , Haghighi A Torabi , Kløve B
Published: February 2021

The influence of seasonally frozen ground (SFG) on water, energy, and solute fluxes is important in cold climate regions. The hydrological role of permafrost is now being actively researched, but the influence of SFG has received less attention. Intuitively, SFG restricts (snowmelt) infiltration, thereby enhancing surface runoff and decreasing soil water replenishment and groundwater recharge. However, the reported hydrological effects of SFG remain contradictory and appear to be highly site- and event-specific. There is a clear knowledge gap concerning under what physiographical and climate conditions SFG is more likely to influence hydrological fluxes. We addressed this knowledge gap by systematically reviewing published work examining the role of SFG in hydrological partitioning. We collected data on environmental variables influencing the SFG regime across different climates, land covers, and measurement scales, along with the main conclusion about the SFG influence on the studied hydrological flux. The compiled dataset allowed us to draw conclusions that extended beyond individual site investigations. Our key findings were: (a) an obvious hydrological influence of SFG at small-scale, but a more variable hydrological response with increasing scale of measurement, and (b) indication that cold climate with deep snow and forest land cover may be related to reduced importance of SFG in hydrological partitioning. It is thus increasingly important to understand the hydrological repercussions of SFG in a warming climate, where permafrost is transitioning to seasonally frozen conditions.
A new approach for designing decision support system used in the potato late blight and early blight management practice
Authors: Borovskiy K V , Kuznetsova M A , Rogozhin A N , Statsyuk N V
Published: February 2021

Potato is one of the most important food products in Russia. The total annual production of potato in Russia is ∼35–40 mln. tons; this production volume is surpassed only by China and India. Nevertheless, domestic agricultural industry still can’t completely meet the national consumption of potato, so every year Russia imports up to 1.5 mln. tons of potatoes. One of the reasons of such situation is that potato is very difficult crop for cultivation, since it is susceptible to a number of abiotic and biotic factors able to cause significant reduction of the yield quantity and quality. This paper is dedicated to a new approach in plant protection and demonstrates how information technologies can help us to increase the efficiency of the disease management and to reduce the negative influence of fungicides on the human health and environment.
The conservation of biodiversity of mountain plant communities
Authors: Kozirev S G , Bekuzarova S A , Glinushkin A P , Podkovyrov I Yu
Published: February 2021

The biodiversity of mountain vegetation is of high value not only for the animal and plant world, but also as a factor in preserving the biosphere. In order to preserve biodiversity, the preserved biological objects were monitored, valuable forage grasses were sown, and after spring regrowth, the biological product NIKFAN was introduced in a concentration of 0.1% aqueous solution. The results of the experiments showed a more intensive growth of plants, an increase in both feed and seed productivity. Leguminous grasses were sown in degraded areas with preliminary introduction of clay deposits of rocks. The results obtained are indicators of positive results for biodiversity conservation and reintroduction of mountain plant communities
Heat Transfer Characteristics of Latent Heat Thermal Energy Storage for Floating Concentrate Solar Power Systems
Authors: Shibahara M , Hinoki T
Published: February 2021

The heat transfer characteristics of the latent heat thermal energy storage (LHTES) for floating concentrated solar power (CSP) systems were investigated experimentally and numerically. The understanding of natural convection heat transfer between the heat transfer fluid (HTF) and a tube bundle in the heat exchanger is important for the thermal design of the LHTES. As a primitive study, the analytical model of natural convection heat transfer was developed between the HTF and the tube bundle in the heat exchanger of LHTES. In this study, D-mannitol was used as the HTF for the LHTES. To simplify the tube bundle of the heat exchanger, a heated cylinder was installed in the liquid D-mannitol. In the experiment, the average temperature of the cylinder and the heat flux were measured, and the heat transfer coefficient under the natural convection was obtained. Meanwhile, the numerical analysis of natural convection heat transfer was conducted using the commercial computational fluid dynamics (CFD), PHOENICS. The temperature and velocity profiles around the heated cylinder were obtained in the numerical simulation. The heat transfer coefficient was compared with the author’s experimental data. The numerical result was in good agreement with the measured heat transfer coefficient.
Treatment possibilities of electrical discharge non-thermal plasma for industrial wastewater treatment-review
Authors: Suresh Ramya , Rajoo Baskar , Chenniappan Maheswari , Palanichamy Manikandan
Published: February 2021

The effluent remedy is ordinarily to allow human and commercial effluents to be disposed of whilst now no threat to human health or unacceptable damage to the natural ecosystem. Industrial effluents (in general from factories) comprise numerous substances, counting on the change. Industries have long discharged their effluents into close move courses, public sewers, and fields or the ocean, leading to environmental and fitness problems. Plasma is an innovative method to modify the properties of surface of material with atmospheric pressure. When electrical discharge takes place between the two electrodes the high intensity of plasma arc formed which produces highly active reactive radicals. Here, this paper represents the review of non-thermal plasma and its application, techniques and up to date undergoing development on the utilization of non-thermal plasma in numerous industrial wastewater treatment.
Automatic Barrier Control in the Zebra crossing of Roads for Pedestrian Safety
Authors: Suji Prasad S J , Yugananth P , Kumaravelan R , Suresh Kumar R , Aravindan V , Harish VA , Janani S , Kausika S D
Published: February 2021

In the urban areas, the heavy road traffic makes the road crossing unsafe to the pedestrians. This paper aims to avoid accidents happening in the pedestrian crossing of traffic signals. The pedestrian collisions occur due to the unethical behaviour of the drivers skipping the signals. The proposed paper prevents these accidents by introducing automatic barriers for the zebra crossing. These barricades automatically lift during the pedestrian crossing and lay down during vehicle traffic. The defaulters of traffic signals are also monitored through the camera.
Source localization for underwater acoustics using esprit algorithm
Authors: Kasthuri N. , Balambigai S. , Yuvashree S.
Published: February 2021

In order to perform the underwater source localization, vector sensors play a major role. If vector sensors are used as an array, the gain can be improved and the accuracy can also be improved. In furtherance of finding the direction of arrival (DOA) of the sound signal which is nothing but the source localization, there are several algorithms like MVM, MUSIC, etc., are used. These algorithms have some computational complexity and also the resolution performance is not good. In encouragement of accomplishing superior determination and to decrease the computational complexity, the Estimation of Signal Parameters through Rotational Invariance Transform (ESPRIT) algorithm is utilized in this paper. This paper gives the details about ESPRIT algorithm and the azimuth angle obtained from the experimental data.
Strength characteristics of banana and sisal fiber reinforced composites
Authors: Vidya Bharathi S , Vinodhkumar S , Saravanan M.M
Published: February 2021

The steadily growing demand for various materials of buildings, the availability of natural sources was decreasing. It is necessary to use alternative materials for the construction of buildings. Fibers are of two types. They’re natural and artificial fibers where natural fibers are abundant and cheap in manufacturing, eco-friendly and renewable. Natural fibers have less density, low cost and fewer durability when compare to artificial fibers. The composite materials were reinforced by using natural fibers. By adding these natural fibers the properties of concrete in mechanical behavior were improved. Here banana and sisal natural fibers have been employed as reinforcement in composite materials. The abundant source of banana fiber is peduncle and pseudo-stem and sisal fiber is a leaf fiber that is very strong. There were many research works with the adoption of these fibers are in numerous percentages like 0%, 0.5%, 1%, 1.5% and 2% in concrete(M25 grade) and was casted by using Ordinary Portland Cement(53grade). This paper overviews the particulars and results of preceding years research papers and also compares the strength properties of banana fibers and sisal fibers viz tensile, flexural strength (modulus of rupture) and compression strength (cube strength).
Treatment of contaminated wastewater from Textile industry: A review
Authors: Naveenraj V. , Prabakaran  , Kulanthaivel P.
Published: February 2021

This review sums up the ongoing dye removal advancements from wastewater like biological, physical and chemical methods. Colour containing wastewater ought to be treated with adequately so as to prevent unfavourable impacts on the climate and water assets. Wastewaters from the textile industry are dangerous effluents containing poisonous complex segments that without suitable treatment seriously sway the climate; making unsafe impacts the amphibian environments, just as to human wellbeing. Thus, it is the point of this exploration to expand the extent of expected arrangements, proposing practical high-performing consolidated techniques with promising advantages for future modern applications. A couple of chemical and physical procedures were utilized for the wastewater treatment containing dyes, at any rate execution of these frameworks have the mindful constrains of being costly, not prepared to the whole finish of shadings from wastewater, and making basic measures of filth that can be reason to associate pollution issues.
Study and Simulation of Autonomous Quadrotor Tracking a Pre-Defined Trajectory Using Matlab
Authors: Chinnasamy Jegadheesan , Periasamy Somasundaram , Singh Ajit Pal , Mohanesh S , Manikandan R , Gokul L , Deepak S
Published: February 2021

The automated airborne vehicle (UAV) is an airplane that is worked without a human pilot. It was controlled either by the controller of a pilot or self-governingly by locally available PCs on the ground or in another vehicle. Modern Quadrotors are evolving than the old designs into a small agile vehicle. The quadrotor is increasingly becoming more and more popular, there is an increasing need for making this vehicle autonomous. The Methods for developing autonomous unmanned aerial vehicles has been an active area of research under the mobile platform. There are many commercially available drone platforms but all of them are required user interaction through a controller. In this work, we have created a control algorithm and trajectory generation for a smooth minimum snap trajectory through the given waypoints. Each waypoint specifies the desired position velocity, yaw, pitch, and roll angles. Such waypoints generated by our algorithm generate a smooth minimum snap trajectory between these waypoints. A PID controller is used to control the motions of the quadrotor in all planes.
Performance Analysis of Wi-Fi and LoRa Technology and its Implementation in Farm Monitoring System
Authors: Muthukrishnan H , Jeevanantham A , Sunita B , Najeerabanu S , Yasuvanth V
Published: February 2021

One of the most interesting technology named Internet of Things made the world to move in smarter way. IoT is an idea of associating devices to internet which works automatically without human presence. Along with IoT different wireless technologies greatly supports in communication. Wide range communication and short range communication are made possible using IoT. These communications through IoT is done via technologies like Wi-Fi, Bluetooth, ZigBee, LoRa, NB-IoT, etc. In agriculture sector, these technologies helps in monitoring environmental factors in smarter way which yields more efficient crops but it works for only certain range. Some of the long range communicating technologies are NB-IoT, LoRa. Low Power wide area network will provide long range communication at low power consumption. LoRa is used to monitor the environmental factors in two different areas. Data from different areas is collected using LoRa device. Here, the comparisons in features of Wi-Fiand LoRa is graphically presented. Features like power, time, data rate for both Wi-Fi and LoRa has been analysed in this project. The data collected here is environmental factors such as moisture, temperature, humidity, motion and light. This project describes the features of Wi-Fi vs LoRa in agriculture for communication.
Development of peanut separator and thruster
Authors: Srinivasan M , Nithya Sai S , Alexander Albert , Prabhakaran N , Gokul C , Visalaxi G
Published: February 2021

Peanuts have been in existence since the beginning of human life. It has a high carbon content and is rich in oil and protein. Peanut oil extraction is more common in most developing countries. Peanut is a commonly used, edible commodity, and oil is used as a cooking medium. Upon oil extraction, the by-product of the peanut cake often contains 43-65 per cent protein and 6-20 per cent fat, which is usually used as feed for cows and goats. There is currently a shortage of farm workers and an increase in harvesting costs. The factors mentioned above mean that farmers are not interested in growing peanuts. The removal of peanut shells is a time-consuming and costly operation. During harvesting, the temperature is very high, making it impossible for humans to work. Peanut thresher is used to solve these problems by removing peanuts that minimize time and expense. Our project focuses mainly on the design and development of a peanut cutting machine with a 0.5 hp motor. The workers removed the peanut capsules from the harvest at the beginning. The output of this method was very poor and did not meet consumer demand because it was a time-consuming operation. The main part of our project is a rotating drum with nails. They feed the peanuts to the rotating drum. Rotating drum tips isolate the pods from field harvest. There are large peanut harvesters on the market, but small farmers cannot afford these harvesters. Our machine is small, light and inexpensive. Farmers with a small farm may afford to use our machine.
A novel method for sample preparation of SMA spring for micro-structural studies
Authors: Santhanam R , Krishna Y , Sivakumar M S
Published: February 2021

NiTi alloys are most widely used shape memory alloys (SMA). SMA in spring form is best suited for actuators as they can generate considerable forces and large displacements. Often it is necessary to know the micro structure of SMA to conclude their state as fully austenite or fully martensite at near room temperature. Sample preparation of wire for micro structural study is easier when compared to spring. This paper reveals a novel method of sample preparation for micro structural study using optical and scanning electron microscopes, of commercially available SMA spring in as received condition for which a prior history is unknown.
Marketing decision making using sentiment score with co-extracting opinion target words from reviews
Authors: Saravanan T M , Kavitha T , Hemalatha S , Kumar Gourav
Published: February 2021

This paper proposes a broad-spectrum outline that utilizes natural language processing approaches counting sentiment analysis, web mining that uses clustering schemes to acquire fresh outcome elicited from reviews in support of diverse features of products. An ultimate part in the scheme is finding positive and negative sentiment scope for all features of a product in the given reviews. Massive figures of product reviews are crawling on the Web with the rapid development of Internet. Commencing these reviews, customers can get hold ofactualexamination of product rank and unswerving supervision of their acquisition actions. Withdrawal feelings from web reviews have developed into a gradually more fiery activity and haveengrossed a vastpact of considerationcommencingthe researchers. The key task for opinion mining is obtaining opinion emotions from reviews in online, the novelfactor involves in identifying relations between words. The project proposes a new scheme that contains graph based co-ranking scheme that is employed in finding poise of every word. Then, words with superiorpoise are withdrawn as opinion objects. Based on the nearest neighbor rule we compare with previous schemes, the scheme more preciselycaptures opinion relations, particularly for elongated cover relations. The investigationaloutcome shows that the schemesuccessfully outperforms all other methods and techniques.
Multi stratagem analysis of sentiments on twitter data using partial phrase harmonizing
Authors: Saravanan T M , Kavitha T , Hemalatha S , Kumar Ankit
Published: February 2021

Sentiment analysis is constructive in the application environment for business intelligence and suggests systems because it is a very easy medium for the two ends of the availability to communicate. Numerous strategies and schemes have been worn inside the sentiment analysis, such as language processing, polarity lexicons, machine learning, and psychometric scales which establish diverse types of analyzing sentiments as assumptions ended, scheme reveals, and corroboration data set. Since the internet has to turn into a commanding resource of retrospect the sphere of sentiment is moreover referred to as Sentiment Analysis or Opinion Mining. It has seen an enormous boost in academia over the decades. Analyzing sentiment to extract sentiments in different levels like word, sentence, and document provides articles’ feeling polarities. While well identified consumers’ sentiments articulated in sentences by opinion. Customary machine learning schemes cannot virtuously mirror the views of writers. This paper proposes a scheme called multi-strategy sentiments with semantic resemblance to disentangle the topic with partial phrase matching. Additionally, the Naïve Bayes classification is applied to search for the probability of the distribution of knowledge in different categories of knowledge set.
Smart bins for garbage monitoring in smart cities using IoT system
Authors: Ravi V R , Hema M , SreePrashanthini S , Sruthi V
Published: February 2021

It is predicted that by 2025 more than 75 billion IoT devices will be linked with internet. Due to technological development and increase in population, industrializationand urbanization, the entire countries should need to formulate ecological development schemes. In connection with this, many countries are endowing large amount of money towards building smart cities. In the proposed work an IoT integrated smart bin for Smarter Waste Disposal Systemis devised. The proposed system will consist of waste bin that are equipped with ultrasonic sensor to detect garbage fullness, Load sensor to measure weight of the garbage, GPS sensor to locate bin location and Gas sensor to measure hazardous gas emission from bin. These sensors are interfaced with ESP 8266 NodeMCU module which a microcontroller is having cost effective Wi-Fi microchip with complete TCP or IP stack. The ESP 8266 can communicate with Wi-Fi modems present in the smart city which are in turn connected with cloud using internet. The proposed system can send alert message to municipal authorities whenever the height of garbage in the bin is greater than threshold value and also stores the data in cloud for future action.
Design And Fabrication Of Semi-Automated Facsimile Stamping Machine
Authors: Praveen Kumar S , Hehma Gayatri R , Nathiya S , Hemachander R
Published: February 2021

The main objective of this paper is to reduce the timing of higher officials to sign in large number of same documents. Manual signing of documents adds time shortage in Public Work Department. Moreover, the manual process is time consuming and not suitable for signing a greater number of documents. The proposed model involves the arrangement of documents, positioning of facsimile, stamping the facsimile and take out the printed documents to distribute station. Thus, this model signs a greater number of documents within a short time. Pneumatic power is fruitfully utilized in this paper and the system is controlled by an Arduino controller. Positioning of facsimile is done by the lead screw arrangement with the help of sensors. The finished documents are then sucked by vacuum cup and taken out simultaneously. Our real time implementation helps them in unveiling such condition. The paper consists of two sections namely mechanical section and control section. The control section consists of Arduino controller and Relays. Arduino controller is used to control the DC motor and the relays are used to actuate the mechanical sections. The mechanical section consists of lead screw arrangement, pneumatic piston, suction cup and facsimile.
A Machine learning approach to monitor Brain Health and epilepsy detection
Authors: Manimegalai M , Nirmala Devi P , Mekala V , Haripriya S , Jawahar B , Mageshkumar M
Published: February 2021

Brain health is a major concern worldwide and in India. There are a ton of neurological issues that may influence the mind and one such issue is epilepsy. Epilepsy is one of the preeminent generally happening neurological issues. Electroencephalography (EEG) signals help in the examination and conclusion of epilepsy by recording the exercises inside the cortical districts of the epileptic patient. Conventional techniques for breaking down an EEG signal for epileptic seizure discovery are tedious. A proposed work of robotized seizure recognition systems utilizing an AI strategy is proposed to supplant these conventional techniques. The proposed work is completed with a real-time dataset of epileptic patients taken at a different period. The two basic steps involved during this project are pre-processing and classification. Information pre-preparing is an information mining procedure that includes changing crude information into a reasonable arrangement. Classification is the process of predicting the class of a given dataset. The classifiers used are SVM, Naive Bayes, Random Forest classifier. The random forest is most preferred for its decision trees where the model has low variance and also for its high predictive performance. The proposed system helps in daily monitoring the brain health of epileptic patients using a mobile application. This system mainly focuses on rehabilitated patients. Once when the patients use a wireless wearable headband the signal is monitored and their health condition is detected using a mobile application.
Min-Time TS: task resource mapping algorithm in cloud computing
Authors: Kamalam G K , Kalaiyarasi T , Monaa S V , Gurudharshini B
Published: February 2021

Internet-established cloud environment provides enormous amount of ubiquitous, distributed resources such as processors, memory, and software. In recent years, task scheduling and resource allocation has become a significant issue in cloud computing. Task scheduling plays a crucial role in cloud system performance. For achieving elegant performance, arises a need of efficient scheduling technique. Numerous algorithms developed for scheduling. In this paper, we have proposed an efficient approach which schedules the tasks to the available cloud resources by forming a task pair. Min-Time TS algorithm forms a finite number of task sets; each set consists a pair of tasks one from Group G1 and another from Group G2 and are scheduled with minimum layover time.
Effective Pre-Migration Mechanism for Dynamic Load Balancing In Cloud Computing Environment
Authors: Nanthiya D. , Keerthika P. , Gopal S.B. , Gokul V.
Published: February 2021

The effect of cloud computing has a huge preferences over all areas. The virtualization strategies made it conceivable to scale in all zones. This prompts the budgetary and prudent development in all nations. The clients frequently demand the cloud datacenters and workers for their cycle. It makes weighty traffic in both cloud worker and server farm. This weighty traffic prompts load imbalancing and furthermore the unpredicted disappointments may prompt execution debasement. Certain precautionary measures must be taken care of to distinguish the virtual machine disappointment. Anticipating the virtual machine disappointment is troublesome along these lines; our proposed work amasses in appropriate booking of the cloudlets thinking about the heap in the virtual machine. On the off chance that any chance of burden imbalancing happens when after the cloudlet is booked at that point utilizing pre movement calculation, the cloudlets are moved to another virtual machine. This paper joins the heap adjusting system with pre movement calculation for planning the cloudlet. The proposed work is actualized in the cloudsim in addition to apparatus.
Brain tumor detection from MRI images using deep learning techniques
Authors: Gokila Brindha P , Kavinraj M , Manivasakam P , Prasanth P
Published: February 2021

Brain tumor is the growth of abnormal cells in brain some of which may leads to cancer. The usual method to detect brain tumor is Magnetic Resonance Imaging(MRI) scans. From the MRI images information about the abnormal tissue growth in the brain is identified. In various research papers, the detection of brain tumor is done by applying Machine Learning and Deep Learning algorithms. When these algorithms are applied on the MRI images the prediction of brain tumor is done very fast and a higher accuracy helps in providing the treatment to the patients. These prediction also helps the radiologist in making quick decisions. In the proposed work, a self defined Artificial Neural Network (ANN) and Convolution Neural Network (CNN) is applied in detecting the presence of brain tumor and their performance is analyzed.
Optimization of ductility and yield strength on Al2024/B4C composite material using Taguchi Technique
Authors: Bharath L , Sreenivasa Reddy M , Girisha H N , Balakumar G
Published: February 2021

In the present investigation, Al2024 alloy reinforced with boron carbide particulates with three different mesh size (100, 200 and 300) have been chosen for the preparation of MMCs. Stir casting route was adopted by varying weight percentage of boron carbide particulates by 1 wt.%, 3 wt.% and 5 wt.%. The cast component was machined through conventional lathe machine tool as per ASTM E8-16a size for tensile test specimen. The tensile test specimens have been subjected to solutionzing treatment at 520 for24 hours followed by water quenching. The quenched test specimens are then subjected to artificial ageing at 175 for holding duration of 1 hr., 3 hrs. and 5 hrs. The tensile specimens after artificial ageing were tested using UTM to evaluate the ductility and yield strength of the formed composite material. It is noticed that ductility found to be decreased with increase in wt.% of boron carbide in the Al2024 alloy, whereas yield strength was found to be improved. Taguchi Technique was adopted to evaluate the S/N ratio, optimization, influence of process parameter and regression equation were derived for the confirmation of experimental results through Minitab software. SEM images reveal the uniform distribution of boron carbide in Al2024 alloy. Ductile tearing was observed in pure Al2024 alloy and the formed composite material.
RETRACTED: Wireless Sensor Network to Connect Isolated Nodes using Fuzzy Based Link Assessment Technique
Authors: Ganesh Babu R , Elavarasi P , Nivedaa GA , Rani Krishna M , Manikandan G
Published: February 2021

A simultaneous geography control effort is implemented for full-reachability systems and a genetic algorithm with dynamic transformation to find the break-through in a blaze-scene. Theproposed scheme efficiently takes care of the issue of separate node for transmission run. The suggested technique makes it possible to improve the display of the genetic algorithm in order to maintain a strategic distance from the possible arrangements which fall into nearby ideal. Different experimental simulations have to be confirmed the performance quality, reliability and timeliness of designed approaches. In the Wireless Sensor established network, can connect at least two sensors in a network sensors and deliver jointly via the obtained transmission extend to form the network of total accessibility. Accordingly, excellent blaze exhaust system with complete network accessibility the proposed approaches in this paper established topology and real-time routing methods. This device supports the protection and security of individuals in a blaze scene.
Reactive Power Control of Single Phase Grid Connected Photovoltaic System
Authors: Iniya V , Maniraj P , Anushiya S , Sarathapriya M , Sowmiya S , Suresh M , Srinivasan M
Published: February 2021

This paper illustrates the compensation of reactive power delivered to the grid connected inverter of photovoltaic system. By reason of weather condition sun irradiance will change, it does not deliver constant power to the grid it seems to voltage drop, poor power factor and so on. Usage of line frequency transformer can be removed while integrating the renewable energy sources to the grid without affecting the system characteristics. Here, LUO converter is designed and implemented along with the single phase inverter to integrate the solar PV to the grid without transformer usage. Fuzzy logic controller is developed to retrieve larger power from the photovoltaic system and also PI controller is used to regulate active and reactive power transfer to grid. MATLAB Simulation result shows the controlled reactive power of the grid connected photovoltaic system.
Measurement and Analysis of Power Quality Issues Due to Electric Vehicle Charger
Authors: Sabarimuthu M. , Senthilnathan N. , Monnisha A.M. , KamaleshKumar V. , Krithika Sree S. , Mala Sundari P.
Published: February 2021

This paper analyzes the aspects of power quality issues such as harmonics distortion and their effects in charging the electric vehicle. The harmonics produced is measured by using fluke power quality meter. The on-board and off board chargers are also discussed with their circuit diagram. It includes the fluke meter for measuring the harmonic distortion that occurs in the charger of the electric vehicle. The harmonics produced in the charger is measured and analyzed using simulink model also. The harmonic disturbances generated are also noted. The recommendations and suggestion based on the result analysis are also discussed
Photovoltaic - Battery Operated Electric Vehicle with an Energy Management Strategy
Authors: Gomathy S. , Sabarimuthu M. , Krithika Sree S. , Radha J. , Vennila R. , Krishna M.P.
Published: February 2021

Hybrid energy storage systems have many advantages, including the use of multi-input converters, such as reduced part count, flexibility power, and absolute control of energy sources. In these systems, an Energy Management Strategy must wisely determine the power levels of the sources. Energy management strategy for photovoltaic/ battery including a bidirectional multiple - input converter electric vehicle is presented in this article. The proposed Energy management strategy not only regulates the state-of-charge of photovoltaic. The battery power profile is also smoothed by using a fuzzy controller and a rate limiter. Since the energy transfer between battery and Photovoltaic is free in this multi-input converter. This results in a hybrid energy storage system that is sustainable and has improved battery life. The feasibility of the proposed system is systematically tested by a simulation study and an observational framework involving an actual electric vehicle. In this paper the results proves that Energy Management Strategy for photovoltaic including electric vehicle is presented. The enhancement of the battery cycle-life is discussed because of the battery / PV hybridization based on experimental performance.
Investigation on PMSM for electric vehicle applications using co-simulation of MATLAB and magnet software
Authors: Sheela A , Atshaya M , Revathi S , Jeyapaul Singh N
Published: February 2021

Transportation plays an important role in all our day to day life. Advancements in technology have uplifted the transportation system into the next level by the introduction of E-Vehicle. E-vehicles are the replacement of gasoline vehicles which are the major reason for depletion of ozone layer. The main component of the E-vehicle is the motor which basically decides the efficiency of the vehicles. The design of the machine has a great impact on the efficiency and as well as on the engines output. Due to the poor analysis of electromagnetic properties of the motor, undesired fluctuations and pulsations would occur causing harmonics to take place thereby there is a huge increase in iron loss. This will also affect the control over the vehicle at low speed. A reasonable method to avoid such issues is to introduce an additional step of analyzing the electromagnetic properties before prototyping the machine. Analysis of the machine is done on the perspective with the integration of the motor and the other components. A new design phase where multi-domain analysis defines these phenomena will assist in the task of achieving an optimal design. A specific simulation tool for each domain is needed for analysis of the entire sys-tem. The co-simulation is carried out on a 10-pole, 12-slot interior Permanent Magnet Synchronous Motor (PMSM) in this paper to do finite element analysis in order to achieve the necessary efficiency.
Solar Powered Battery Charging System Using Optimized PI Controller for Buck Boost converter
Authors: Sivamani D , Shyam D , Nazar Ali A , Premkumar K , Narendiran S , Albert Alexander S
Published: February 2021

The basic framework for tuning Genetic Algorithm (GA) is to bring the system to stable condition with proportional Integral controller for DC-DC converter (Buck -Boost Converter) which is applied to PV source. Due to its non-linear characteristics, the performance of the controller needs to be improved in order to improve its efficiency. The gating pulses of the converter uses Pulse Width Modulation (PWM) technique in order to reduce its THD level. The main purpose of PI controller is to bring down the large values of instabilities in the system response and to reduce steady state error which in turns improves the gain and accuracy. Genetic Algorithm (GA) is a search algorithm to solve optimization problems. The controller parameters are optimized to produce reasonable transient response without affecting the stable operation. Output voltage magnitude of DC–DC converter is either greater than or lesser than the input voltage magnitude. Variable DC voltage from PV panel is applied to DC – DC converter to get constant DC output voltage. The modelling of the Proposed system is modelled using MATLAB/SIMULINK and its results are verified.
Analysis of Three Phase Nine Level Diode Clamped Multi Level Inverter
Authors: Nagarajan L , Anne Rosaline A , Baladhandapani R , Nazar Ali A , Stonier Albert Alexander
Published: February 2021

Compared to conventional inverter (square wave) multi-level inverter offers quality power owing to different voltage levels utilization in average and high voltage. Besides it also reduces Total Harmonic Distortion in the distributed system and dv/dt across power switches. This advantage is transcendently appropriate for cascaded diode connected converter that can be worked to create more number of levels using asymmetrical voltage source because of their integrated arrangement. However, this benefit no longer exist because it requires many dc links (batteries or rectifiers) which is costlier. Substitute method of implementing single low voltage floating DC link is to recompense voltage distortion using Neutral-Point-Clamped (NPC) converter. This NPC output and controlled floating single DC-link voltage along with controlled PWM strategy reduces the THD. This improves the bandwidth and make simpler the current control scheme. These motivated the study and analyze the performance of a Diode Clamp based three phase nine level multilevel inverterusingnovel PWM approaches in MATLAB 2014b and PROTEUS for hardware development. Thus low power prototype is developed and its performance is shown.
A Novel IoT Based Power Monitoring System
Authors: Suriya S. , Agusthiyar R , Vijayalakshmi N.V , Shyamala Devi J.
Published: February 2021

The use of IoT is increasing day by day; the significance and utilization is on the increase with more sophistication. In real world situation the electricity board calculates the bill amount and passed to the user mail or EB card. Now an efficient power monitoring system is proposed which uses a sensor at the heap to ascertain current, a circuit is utilized to figure voltage and with these two, power can be computed. Control qualities are put away in cloud database. Noninvasive current transformer sensor which receives the input from the live power supply and transfer the value to Voltage sensor, Nodemcu gets the value from voltage sensor and stores it in cloud database. With the help of cloud database user can monitor the power consumption value. Home automation can be achieved with the help of Relay Module and separate Nodemcu. Devices can be controlled from cloud dashboard. EB bill is a big challenging expenditure on day to day life. To overcome this situation Power Monitoring System will be very useful for the Average Salary people and also it overcomes the Electricity theft, unwanted Power wastage, avoidance of high power consumption devices.
Water quality monitoring via cloud application: Brief review
Authors: Abdul Muta’ali A N , Sazali N , Ghani S A C , Walter J
Published: February 2021

With the growing issue of water pollution and resources, the need for a remote water monitoring system has never been more crucial. The implementation of remote monitoring system has a growing interest in the current technology development. Evolution of wireless sensor networks, coding automation and control systems led to the introduction of Internet of Things. This paper aims to review a monitoring system via cloud application to make known of current available system. Cloud application system was studied extensively by various researcher, but research study focusing for water quality monitoring is still scarce. Two main objectives in the studies were designing low-cost system and ease of operation. Most of researchers designed their system using ZigBee, one of IoT system that is currently trending. Currently, cloud system was not widely applied in real industrial application due to lack of experimental evidence. Several enhancements that can be made were proposed.
The effect of temperature on low temperature vacuum drying with induced nucleate boiling for stingless bees honey
Authors: Halim N F , Basrawi M F , Azman N A M , Sulaiman S A , Razak S B A
Published: February 2021

Low Temperature Vacuum Drying (LTVD) with induced nucleate boiling is a new method that has been invented to reduce the water content of honey at a lower temperature without damaging the nutrient content of honey. The objective of this study is to investigate the effect of temperature on the dewatering rate by this LTVD method. The honey sample was placed in a pressure vessel and the air from the vessel was removed to create a vacuum condition. This experiment was conducted by using three different temperature which was 40 °C, 45 °C and 50 °C. The honey sample was dewatered for 5 minutes and each condition was repeated three times. The water content before and after the experiment was measured by a digital refractometer. Final water content decrease from 26.5 % to 25.1 % from temperature 40 °C to 50 °C. The dewatering rate increase from 0.14 %/min to 0.28 %/min when the temperature increase from 40 °C to 50 °C. The highest dewatering rate was obtained at 50 °C. However, considering the quality conservation of honey, it is suggested to apply a temperature of 45 °C to get a high dewatering rate while considering the quality of honey. It could be concluded that the temperature effect the final water content and dewatering rate of honey.