bluuebunny/crossref_metadata_2025 huggingface dataset:
Angle expanding fracture analysis of Q420B angle steel
Authors: Fu Chunxia , Ren Facai , Wang Peng
Published: December 2020

The cracking angle steel is analyzed by chemical composition analysis, tensile test, impact strength, bending test, metallographic structure and other physical and chemical test methods and all indicators meet the requirements of the standard, so material quality is not the cause of crack of angle steel. The stress distribution of Q420B angle steel in the process of expanding angle in cold working is analyzed by numerical simulation. Three dimensional simulation results show that when the angle of expansion reaches 92° and the maximum principal stress exceeds the tensile strength of the material, the angle steel breaks; The results of plane strain calculation show that when the angle of expansion reaches 92.6° and the maximum principal stress exceeds the tensile strength of the material, the angle steel breaks.
Study on the migration of four phthalates from plastic food contact materials to food simulants
Authors: Qiu Yue , Ruan Yan , Zhang Lu , Zhang Qing , Tan Chaolan
Published: December 2020

The ultra performance convergence chromatography method was developed to detect the migration of four phthalates (PAEs) in plastic food contact materials. Plastic food contact materials samples are immersed with oil-based (isooctane) and water-based simulants (10% ethanol, 4% acetic acid and water), respectively. The pre-treatment method of four kinds of PAEs in the simulated immersion solution was optimized. The relationship between migration behaviour and the simulants, migration temperature and migration time were studied. The results show that PAEs were more likely to migrate in oily simulants. Within a certain range, the migration amount increased with the extension of immersion time. The migration rate and amount enhanced with the temperature.
Research on the simulation of a new compensation strategy for dynamic voltage correction device
Authors: Zhang Xuewei , Sun Xiaojuan , Wang Tianfeng
Published: December 2020

A new detection and compensation method for voltage sag is proposed. Dynamic voltage correction device(DVCD) is the most effective device to solve voltage sag. Based on the shortcomings of the traditional compensation strategy, the compensation characteristics of the compensation strategy are analyzed systematically. This paper proposes a new compensation method based on the traditional minimum energy compensation method, which uses different minimum energy methods for different sags, namely zero active power exchange and minimum energy exchange. Through Simulink to establish the simulation model of minimum energy method, and make simulation analysis. The simulation results show that the method can achieve the minimum output active power while ensuring the compensation effect, which proves the feasibility and effectiveness of the method. This method can make full use of energy storage of equipment and has high economic benefits.
Research on Building Gas Pipe Leakage Detection Based on LabVIEW and Multisim
Authors: Rui Wu , Zhao Yang
Published: December 2020

According to the micro energy vibration signal which is generated by the internal gas injection when the building gas pipe leaks, a set of building gas pipe leakage detection and analysis system is designed. The final analysis results of the system can provide the basic analysis data for the timely detection of building gas pipe leakage and the quantitative and qualitative change results caused by leakage. The system selects 801S vibration sensor to extract the vibration signal generated by pipeline leakage, and then amplifies the weak voltage signal converted by vibration signal through signal conditioning circuit. The signal conditioning circuit completes the simulation through Multisim platform and verifies that the expected results meet the requirements. Finally, the signal processing program and detection program based on HHT algorithm are designed and constructed by LabVIEW platform to decompose the data of the conditioned signal and determine whether there is leakage. The results show that the dynamic and static characteristics of the system are fine, and the accuracy is high, especially the effect of the low-frequency and low-pressure (200Hz and below 5V) signal detection is very well.
Development of a Miniature Recorder for Drilling Motors
Authors: Li Fei , Song Haolan
Published: December 2020

A recorder is designed to record the vibration data of the drilling motor for health assessment of the motor to improve the drilling efficiency. It is installed in the rotor catch of the drilling motor without increasing the length of the bottom hole assembly(BHA). The recorder is equipped with two triaxial vibration accelerometers with different ranges, a rate gyroscope, a temperature sensor, and an integrated circuit (IC) for timestamps. The recorder can measure and record the vibration data of the entire operation cycle of the ground transportation, rig-side handling and downhole operations of the motor. Vibration recorder does not require any configuration or intervention at rig sides so that it can be easily deployed to motor operations. The Python-based data analysis software was developed for the miniature vibration recorder. The analyzer can make statistics on the recorded data and display it with time plots and histogram. The vibration recorders provided adequate information of a drilling motor to maintenance shops and operator. These statistical data and charts can help users understand transportation, rig-side handling and downhole drilling.
Simulation of the dipole pattern of summer precipitation over the Tibetan Plateau by CMIP6 models
Authors: Shang Wei , Duan Keqin , Li Shuangshuang , Ren Xuejuan , Huang Bo
Published: December 2020

The dipole pattern of summer precipitation over the Tibetan Plateau (TP) during 1961–2014 is evaluated based on observations and 18 models provided by the Coupled Model Intercomparison Project Phase 6. Of the 18 models, 10 can capture the opposite variation characteristics in the south and north TP. Observational data reveals that the south–north seasaw of TP summer precipitation is essentially driven by a Rossby wave propagating from the Western Europe to East Asia, which is associated with North Atlantic oscillation (NAO). The models successfully simulated the dipole pattern that is closely related to the reproduction of the NAO–TP relationship. Further analysis demonstrates that the reliable simulations of horizontal dynamic processes of moisture transport, which is linked to the NAO–TP relationship, highly contributes to their success in reproducing the dipolar pattern of TP summer precipitation. While unrealistic local vertical circulation and evaporation simulation lead to the failed reproductions. These findings provide significant information for model development and future climate change projections.
Analysis of Emission Reduction Benefits of Electric Vehicles
Authors: Hu CX , Li TR
Published: December 2020

The increasing environmental and energy issues have made the promotion and use of electric vehicles an important measure to respond to energy conservation and emission reduction. This paper considers two different types of electric vehicle emission reduction measures: the emission reduction achieved by electric vehicles instead of fuel locomotives and the total reduction of V2G(Vehicle-to-Grid) peak-shaving. On this basis, this paper uses the typical monetary value method of carbon emission to convert carbon emission reduction from weight to monetary level, which is more suitable for the assessment of energy transformation and benefit comparison. Finally, we verify the emission reduction potential of electric vehicles when the grid factor adopts the BM algorithm.
Bi-level Programming of Park Energy Internet Considering Economy and Security
Authors: Suchun FAN , Zhang Yongjun
Published: December 2020

Park energy Internet is an important research and development direction catering to the requirements of energy sustainability. In this paper, a typical structure of park energy Internet and models of several energy equipment are built. Multiple evaluation indexes including overall energy utilization rate, overall energy self-sufficiency rate and energy shortage expectation are proposed. Based on this, a bilevel programming model of park energy Internet considering economy and security is proposed. Further, a hybrid solving strategy of cataclysmic genetic algorithm and CPLEX solver is used to reduce the time of solution and improve the convergence. Finally, it is proved that the proposed method can meet the requirements of the economy and security of the system as well as the energy sustainability.
A New Method of Detecting Hot Spots in PV Generation System Utilizing AI
Authors: Itako K , Alhabib A
Published: December 2020

Photovoltaic (PV) Generation system is one of the easiest green energy systems to generate small amounts of energy as in houses or for large amounts as in fields. Although PV generation system does not burn fuel for power generation, it does still faces some problems regarding heat. One of these problems are called Hotspots. Hotspot is an increase of the cell`s heat in certain conditions and positions. In some cases, the heat can even start a fire. In this study, we propose a new method to detect this hotspot phenomenon in an early stage. The proposed method utilizes Artificial Intelligence (AI) as the main detection system. In fact, we were able to detect the hotspot with an accuracy of 82.25% using only two parameters, string current and string voltage. This system is a secondary system to be used with the main control system. The output will be a flag sent to the main controlling system. Making this system a secondary one, makes it easier to apply in already built PV fields. In near future, the detection of other deficiencies is going to be a major task for this system.
Influence of Freezing Treatment on the Thermal Runaway Characteristics of Lithium-Ion Batteries
Authors: Wweng J , Ouyang D X , Chen MY , Ding C , Wang J
Published: December 2020

Owing to increasing applications of lithium-ion batteries (LIBs), it is worth investigating the thermal runaway (TR) behaviors of LIBs under extreme conditions such as flash freezing, which has been proposed as a feasible way for LIB transportation or storage. In this study, a series of experiments was conducted to explore and compare the TR behaviors of batteries with and without freezing treatment. According to the results, the batteries after freezing treatment exhibited a faster temperature rise, and the onset time of TR (t) was shortened. For example, t was 277.2 s in the blank test, whereas for the battery after 72 h freezing, t was 250.2 s. Moreover, the microstructure comparison on the internal electrode materials after TR showed that freezing treatment aggravated the agglomeration and clustering of them. Additionally, we recommend storing LIBs with a lower state of charge (SOC) even in freezing or extreme-cold conditions.
Combustion Performance of Pterocarpus indicus Leaves Wastes Briquette with Rejected Papaya as Binding Agent
Authors: Anggono Willyanto , Sutrisno  , Suprianto Fandi D. , Yulio Arifin F.X. , Jeremy Gotama Gabriel
Published: December 2020

Pterocarpus indicus is a plant commonly found in Indonesia and it produces wastes from its leaves falling. Earlier investigation indicated that transforming these leaves into briquette could clean them and provide a new source of energy. However, the use of tapioca as binding agent in the previous study may be criticized for affecting the food availability as it is edible. To solve this issue, tapioca is substituted with rejected papaya. The briquette was then investigated to find out the best manufacturing parameters and its viability as a sustainable fuel. The optimum ratio of Ptercarpus indicus leaves waste and rejected papaya, which yield calorific value of 4338.79 Kcal/kg, is found to be 95% and 5%, respectively. Proximate and ultimate analyses corroborate the use of this briquette. Investigation of four combustion parameters (ignition time, flame temperature, combustion rate, and burning time) indicates that the best briquette is manufactured with biomass of 60 mesh size or 250 urn and compacted with hydraulic pressure of 2 MPa.
Water-Retention Properties of Pavement Ceramics Prepared From Mixtures of Waste Diatomite and Light Emitting Diode Quartz Sand
Authors: Lin Kae-Long , Lo Kang-Wei , Lin Ya-Wen , Cheng Ta-Wui
Published: December 2020

This study investigated and analyzed the effects of the heating temperature (1,000°C-1,200°C), sintering time (6 hours), and content by weight (0-20%) of diatomite waste blended with a percentage of light emitting diode quartz sand (LEDQS) waste on fabricating water-retention pavement ceramics (WRPC). The results indicated that decreasing the heating temperature and amounts of the LEDQS resulted in an increase in the porosity. Increasing the heating temperature and amounts of the LEDQS waste resulted in the WRPC samples having increased compressive strengths (3.37-20.02 MPa). When amounts of up to 20% LEDQS were added to the WRPC samples heated to 1,200°C, the driving force was higher, and the crystal growth rate increased. Therefore, it is to be expected that densification will increase with increasing temperatures. It was found that the t
1/2 values of the WRPC samples increased when the percentage of added LEDQS was increased. In summary, the WRPC samples containing LEDQS have excellent mechanical properties, making them feasible for use in WRPC applications.
Evaluating the Effects of Watershed Subdivision on Hydrological Simulation by Swat Model in an Arctic Watershed
Authors: Bui M T , Lu J , Nie L
Published: December 2020

The hydrological model SWAT is a state-of-the-art tool for environmental and water resources management. Like other semi-distributed models, the whole river basin in the SWAT model is delineated into smaller sub-basins prior to conducting the simulation. Watershed delineation is an importance step since it could potentially influence the modelling results. The present study aimed to conducte an investigation of the effects of watershed delineation schemes on hydrological simulation in an Arctic watershed Målselv, north of Norway. Four delineation schemes were set up with different threshold drainage area (TDA) from fine to coarse including 100 ha, 2,000 ha, 5,000 ha and 10,000 ha. The model was run on monthly time step from 1979-2012. The results showed higher variation of average annual precipitation and runoff especially in the upstream sections of the watershed by the fine TDA schemes compared to the coarse ones. The average monthly precipitation and runoff slightly increased from the finest TDA scheme to the coarsest scheme. All TDA schemes reproduced the observed tendency of the average monthly and annual streamflow although the peak flow was over and under estimated at different hydro-gauging stations. The higher value of estimated streamflow was found at the coarsest scheme.
Public Risk Perception and Response to Air Pollution
Authors: Hsu Kuo-Wei , Ting Pin-Hsuan
Published: December 2020

In recent years, as people pay more and more attention to environmental quality, many environmental problems have gradually become the focus of people’s concern, especially those with greater risks. Air pollution is one of the major risk factors of death worldwide and is also the cause of the increased risk of chronic diseases. Therefore, the purpose of this paper is to understand the correlation between factors affecting air pollution risk perception and the level of risk perception, and whether they can affect coping behaviour. The results showed that among the demographic variables, only marital status and average monthly income were correlated with air pollution risk perception. In addition, the public satisfaction with the air pollution to the air of the negative correlation between perceived risk, and air pollution information knowledge and the positive correlation between perceived risk of air pollution, can confirm air satisfaction and understanding information about air pollution caused by the risk perception of people have a certain influence, and in the case of the higher the risk perception could prompt them to take more coping behaviour, such as wearing a mask, avoid being outdoors for a long time, and so on.
Effects of Air Pollution and Measures to Improve City Community’s Health
Authors: Tan Hoi Huynh
Published: December 2020

The air quality in Ho Chi Minh City is deteriorating due to the increase in population, personal transport, industrial parks and emissions from residential areas and a few other factors and as a result, these things affect human health quite seriously. However, studies on effects of air pollution on people’s health here are still quite few. This paper will analyze the overall situation of pollution in this city, and based on previous research, we will have an overview as well as assess the health impact of the air pollution. The paper also discusses the mutual relationships between researchers and policy makers in monitoring air quality and protecting human health. From comparisons with other countries, a number of proposals were discussed to assess the risk of pollution and the enhancement of research as well as possible policies to improve the health of the citizens in the city.
Preliminary Study of Abundance and Characteristics of Microplastics on Beach Sediment along the Coast of Rayong Province, Thailand
Authors: Prarat P , Thanayotmethi T , Sriboonyapirat T , Donsomchit P , Hongsawat P , Chouychai B
Published: December 2020

This study concentrates on the beach sediment collected at Suchada (SD), Saeng Chan (SC) and Laem Charoen (LM) beaches in the Rayong province of Eastern Thailand. The samples were collected for a preliminary investigation for microplastic contamination. A total of 18 samples were taken parallel with the shoreline at the depth of 5 centimetres. They were collected between the months of August to September 2019. Density separation, microscopic inspection and ATR-FTIR analysis were conducted to analyze the characteristics of microplastics and the type of polymers. The average concentration of microplastics on three beaches was 568.33 ± 153.05 items per kilogram of dry weight. Based on the categorization according to shape, colour, and size, microfibers accounted for a dominant proportion of microplastics. Blue ( > 45%) and 1,000-5,000 µm particle sizes were the most prevalent microplastics in SC and LM beaches, while red (43%) colour and small microplastics (100-500 µm) were the dominant proportion in SD beach. ATR-FTIR analysis determined that the polymers found in microplastic were polypropylene, polyethylene, low-density polyethylene and cellophane.These results indicated that land-based sources also those including tourism activities, fishery activities, river, and sewage discharge from industrial and urban communities are most likely the main source of microplastics in beach sediment along the coast of Rayong province.
Combining Transit-Oriented Development and Urban Agriculture Strategy on Constructing Urban Environment Sustainability, the Case of Taiyuan railway station, Taichung, Taiwan
Authors: Hsu K W , Chao NA , Hong P L
Published: December 2020

Continuously increase urban population and urban spatial sprawl, under limited land development and urbanization, implementing Transit-Oriented Development (TOD) to improve urban spatial environment has become crucial on Taiwan’s urban sustainability and development plan. According to literature research, introducing urban spatial planning into urban agricultural approach, can increase urban green coverage ratio and reinforce green network. This study will depict urban agricultural development approach with the implementation of TOD planning method on Taiwan Taichung Taiyuan train station as planning site, using Taichung urban planning and development plan guidelines, in accordance to TOD core development merging urban agriculture development approach to reinforce TOD planning detail in order to achieve the urban environmental sustainability.
Detection of Land Cover Changes before and after the 2016 Kumamoto Earthquake in Japan Using Remote Sensing for Evaluation of Environmental Impacts
Authors: Iwasaki Yoichiro , Tamaki Tomoko , Murata Kouhei , Koga Ariya , Fujimoto Kuniaki
Published: December 2020

The land cover changes before and after the 2016 Kumamoto earthquake in Japan are detected using the Normalized Difference Vegetation Index (NDVI) calculated from satellite Sentinel-2A/2B images, and the methods and contents are described in this paper. The land cover change areas matched well with Google Map (aerial photographs), a high resolution latest map. In addition, the some areas where land cover changes spread over time were investigated by ground truths, and we have found that their cause is restoration works. To evaluate environmental impacts, we investigated the populations of the trapdoor spiders Heptathela higoensis in three study sites in the Aso area and Ozu Town in Kumamoto Prefecture. It is thought that the soil animal such as this spider receives the influence of the land cover changes directly. It is suggested that the changes of the spider populations can become an index to grasp the environmental changes before and after the earthquake quantitatively. The locations of the restoration works will not return to areas with high groundwater recharge capacity such as grasslands. If such restoration works spread, the people lived in the Aso and Kumamoto areas in Kumamoto Prefecture that rely on groundwater will have a serious problem in the future.
Effect of Intermittent Negative Ventilation in Biodrying Process for Treating Pre-Shredded Waste
Authors: Panida P , Towprayoon S , Chiemchaisri C , Patumsawad S , Wangyao K
Published: December 2020

A pre-shredded waste with 49.4% of moisture content from a municipality in Thailand was treated in biodrying lysimeters with intermittent negative ventilation at the rate of 0.5 m3/kgwaste/day. Two air patterns were set with an interval of 30 min run/30 min stop (T1) and 30 min run/60 min stop (T2) and ran for seven days. The highest temperature was found in T2 at about 68.3 °C. The degradation of degradable materials was at 3.49% and 2.9% in T2 and T1, respectively. In T2, the weight could be reduced from 90 kg to 79.9 kg, corresponding to 11.2% of weight reduction. After seven days, moisture content and the heating value was in acceptable requirement of Refuse Derived Fuel (RDF) for local cement plants. The highest moisture removal was presented in T2 which can reduce the moisture content of 58.24% and the heating value was increased of 42.75% from initial heating value. Based on the local RDF requirement, it could be concluded that T2 is the best performance in this study with 20.63% of final moisture content and 17,719 kJ/kg of heating value.
Structural, surface and optical properties of nanoalumina produced by various ways
Authors: Syzrantsev V V , Larina T V , Abzaev Yu A , Paukstis E A , Kostyukov A I
Published: December 2020

Start The compared study of the properties of liquid-phase and electric explosion alumina nanoparticles was made. The X-ray diffraction analysis demonstrated that these nanoparticles remain in amorphous and semi-amorphous states. The complete structural information of Al2O3 nanoparticles was obtained as a result of the full-profile refinement of their model phase parameters. The parameters of the unit cells, spatial distribution of atoms, and occupancy of nodes were also determined.The data of IR spectra of surface OH groups and adsorbed CO revealed that the surface imperfection of an electric explosive sample is lower than that obtained using the liquid-phase method. Using photoluminescent spectroscopy, impurities of Cr3+, Mn4+ and Ti3+ in the octahedral oxygen coordination and Fe3+ in the tetrahedral oxygen coordination were detected. It was observed that the concentration of these impurities was significantly higher in the electric explosion sample. Using UV-Vis DR spectroscopy, it was found that the liquid-phase sample was amorphous, and the electric explosive sample was well crystallized and most probably consisted of 2D and 3D nanostructures.
Electrophysical properties of Janus-like silver nanoparticles
Authors: Nomoev A , Chimytov T
Published: December 2020

The article presents the results of an experimental study of the electrophysical properties of Janus-like silver nanoparticles Ag/Si. The distribution of the electric potential of silver nanoparticles was obtained using atomic force microscopy using the Kelvin probe method. The electrical capacity of the particles is estimated.
Smart Catcher of weighted Objects
Authors: Mothukuri Radha , Raju Dr. S. Hrushikesava , Dorababu S. , Waris Saiyed Faiayaz
Published: December 2020

At present, there is no solution whenever a live person or live animal was fallen from a building or from a high tower. To safeguard the live person, an IoT based adapter to be built whose purpose is to catch the object when a heavy movement is detected in the air. Any building from which a weighted object is dropped, that can be caught by netted sculpt that can get information from the proposed IoT based adapter fixed at someplace at the side view of the building. The components of this smart catcher are catcher device as IoT based adapter in which accurate position is predicted, netted wire with a built-in chip that takes location from the previous module, and catch the weighted object by the netted wire that can be directed by the built-in chip of it, and brings that object to the ground. Hence, the proposed methodology is the interconnection of networked devices that will communicate with each other in order to save the lives or any object that gets dropped from someplace of the high building. Its main advantage is eco-friendly nature and the latest technology adapted to figure out to catch the object that was falling from a remote high place. The sensors of the IoT-based adapter will scan and works to catch whenever the movement of the weighted object is detected. That sensed information to be sent to the chip of netted wire and netted wire will point to an accurate location to catch the object. The result is stored in a report that could be communicated to the nearest office.
Smart Gas Monitoring System for Home and Industries
Authors: Kavitha Modepalli , Raju Dr. S. Hrushikesava , Waris Saiyed Faiayaz , Koulagaji Dr. Ashok
Published: December 2020

Nowadays, gas industries or gas cylinders in a home will experience gas leakages because of human negligence or other external conditions and lack of patience. Due to disaster to be raised by such cases, the demolition happened is unpredictable. To predict the disaster in advance, then alternatives could be taken to avoid such cases. In this paper, an IoT device is designed that will detect gas leakages and the status of the gas to be known whenever cut off is specified by the user. The proposed IoT methodology for knowing the status of the gas summary is demonstrated using the specific use cases. The proposed IoT to be installed through a manual approach or virtual approach is depending on the consumer interest. There were many instances experiencing the many people to become victims of this and also the environment to be also spoiled and it takes more time to purify the infected environment or to bring the affected environment to a normal level. It is demanded nowadays to predict future disasters using G-IoT. In G-IoT, the components whenever meet less than the cut off values, will notify the report to the main center and authorized user. The V-IoT is also used to monitor outer environments like gas pipeline and its conditions. If the resources are supplied at the time of installation of setup and detected whenever a specific component becomes shortage, the automatic approach takes place and will start filling that specific component with required according to manual recording.
Computer vision based fatigue detection using facial parameters
Authors: Balasundaram A , Ashokkumar S , Kothandaraman D , kora SeenaNaik , Sudarshan E , Harshaverdhan A
Published: December 2020

Human face is a clear indicator of the fatigue and tiredness experienced by an individual. There may be many cues that can be derived through the analysis of facial parameters which clearly indicate the tiredness. Most of us feel the fatigue and tiredness but at the same time ignore it due to want of time to complete a task or necessity to complete an important work. However there can be instances when this fatigue may turn fatal. Hence an automated system that can easily predict the fatigue becomes the need of the hour. This work is focussed towards developing an automated application that can detect fatigue by analysing various facial parameters. This work uses Computer Vision and has been implemented using Python programming. The result shows good prediction accuracy when it comes to fatigue prediction using facial parameters.
An Interactive Clustered base Recommender system for effective Social Data Analysis
Authors: Kumar Dr. K. Kiran , Kiran Dr. T. Srinivasa Ravi , Kumar Dr. M. Ramesh , Aruna Sri P. S. G.
Published: December 2020

Providing or proposing appropriate material based on the essence of expertise is the most important and checking topic in recommender schemes. While collaborative filtering (CF) is one of the most visible and well documented procedures used for recommender schemes, we suggest another clustering-based CF (CBCF) technique using an incentivized / penalised user (IPU) model only with the appraisals provided by users, which is therefore easy to actualize. We aim to build this fundamental clustering technique without prior data and at the same time improve the consistency of the recommendation. Towards being real, CBCF and an IPU model are inspired by enhanced suggestion execution by cautiously misusing different tendencies among consumers, such as consistency, recall and an F1 scoring. In specific, we are speaking of a convincing enhancement topic in which we aim to extend the recall (or F1 score comparably) for a certain accuracy. For this reason, users are divided through a few clusters depending on the real data assessment and coefficient of Pearson correlation. Some time since, we are both encouraging in a common category by the tendency for interest by the customers. The test results indicate a tremendous change in the pattern of the CF tract without clustering the reminder or F1 score for certain accuracy.
RETRACTED: An Efficient Deep Learning Approach for Brain Tumor Segmentation Using CNN
Authors: Kumar M. Jogendra , Sai N. Raghavendra , Chowdary Ch. Smitha
Published: December 2020

The focus on this endeavor may be to composed totally altered tumor division system utilizing convolutional neural networks (CNN). Tumors could show up any place in the mind and basically such a size, shape, and multifaceted nature. These causes drive the use of a versatile, high breaking point profound NN. This may be a system of the work completed in this view with a push to portray in procedure utilized. The BraTS cerebrum tumor division challenge dataset, which contains MRI ranges of mind for higher than 200 patients is utilized in this assessment. A fix wise division procedure will be utilized and 98% exactness on test set of patches. An assortment of evaluations have completed around the NN significance utilized the various models to set up the best designing for this errand. The CNN will be utilized to locate the correct region of profound NN and gliomas CNN have used to locate the terrible zone. The Deep NN is to discover the shrouded units in gliomas.
A Hybrid Hash-Stego for Secured Message Transmission Using Stegnography
Authors: Pavan Kumar A. , Gajjela Lingam , Sai N. Raghavendra
Published: December 2020

Steganography and cryptography is utilized together to fuse different layers security. Cryptography is a cryptographic framework and which is utilized to scramble the visual information. Cryptography is utilized in information stowing perpetually, secure the pictures, hidden picture, sight and sound and different fields. Steganography is the procedure for concealing mystery information into another information so it is basically more guaranteed about. In steganography the conundrum messages install in an innocuous looking spread, for example, a genuine picture chronicle, by then the picture is passed on. For scramble and unscramble the information we can utilize the cryptography procedure. The information are changed over into some other rubbish structure, and some time later the mixed information are passed on. Straightforwardly a days we have seen a smart improvement of correspondences security and the antonymous individual access conundrum information for the information correspondence experts. Cryptography and Steganography are the all around utilized procedures to vanquish this danger. LSB[1] method is utilized to camouflage the mixed message into annals. This undertaking is to improve another strategy for concealing riddle messages into video, the space of tending to the characters parallelly we are isolating the video chart utilizing steganalysis.
Suitable encrypting algorithms in Parallel Processing for improved efficiency
Authors: Tallapally Sampath Kumar , Manjula B.
Published: December 2020

Cryptographic algorithms play a vital role in providing security to the data and from malicious attacks. Now a day’s storing the data in the Cloud became essential for organizations to reduce the overhead of securing the data within the organization. “Stream ciphers” are more vulnerable to attacks when compared to “Block Ciphers”. In this article we used java platform to evaluate and compare all the block cipher techniques used for converting plain text to cipher text and we have identified the best block cipher technique which can be used in cloud.
A novel framework for quality of service aware vertical handover process in heterogeneous wireless networks
Authors: Pramod Kumar P , Sagar K , Ranadheer Reddy G , Shwetha S , Pranathi V
Published: December 2020

The evolution of wireless communication technology and the growing number of mobile users with various applications together have formed a heterogeneous environment of wireless communication networks with real-time availability and high bandwidth preferences. Everyone in the world wants consistent mobility to connect seamlessly to the best available network anytime and anywhere. Therefore, an efficient and Quality of Service (QoS) aware Vertical Handover (VHO) techniques are needed when the mobile connections have to switch from one network to another network to provide effective mobility performance, seamless connectivity, and high availability of connections. Applying efficient VHO process in a heterogeneous wireless network is still a big topic of interest in research field. It has been observed that existing handover techniques are not much capable of providing user preference and QoS aware mobile communication and network selection process. This problem incorporates various unwanted factors such as communication delay, inconsistent mobility, security towards the communication process. This paper discusses various existing research works that have been carried out to improve the VHO process to boost overall communication performance and to raise QoS of wireless mobile communications in the heterogeneousnetworks.
Enhancing dull images using discrete wavelet families and fuzzy
Authors: Kothandaraman D , Balasundaram A , Korra SeenaNaik , Sudarshan E , Vijaykumar B
Published: December 2020

Enhancement of an image which is dull is used in important application like restoring an image. Especially when enhancing a gloomy image it becomes quite difficult. Hence a simpler but effective method for enhancing the image is proposed here. Here a novel method based on graphical user interface which allows the user to enhance the image based on their requirement is proposed. The algorithm used for this is the discrete wavelet transforms families which will decompose the dull image. The four approximation coefficient obtained after decomposition are further manipulated using fuzzy logic in order to enhance the image. And then inverse discrete wavelet transform is used to reconstruct the image. Experimental results show that the proposed method is robust in enhancing the quality of images.
Discover the Adaption of Big Data Study in EHR Information
Authors: Krishna Rao R A V , Razia Shaik , Harita D.
Published: December 2020

An adoption of digital health documents has recently developed in fantastic realm. A little vigor our bodies stockpile, cope and route their statistics in force. However, the subsistence of such tremendous and scrupulous unit poses new confront and problems for health professionals. In verity, even though the most essential intention of electronic fitness documentation is to achieve great tribal information from health flow of work data for very general practitioner make the most significant analytical tackle. This is due to more than one building and steps, which definitely discourages them from wanting more and more. We eliminate and accurately discover the appropriate adaptation of analytical tools to electronic records on physical condition to improve their use through the capacity of health professionals. A case study is presented on the discharge approach of EHR based on open fully electronic fitness documentation and appears in the adoption of health analysis.
Innovative Task Scheduling Algorithm in Cloud Computing
Authors: Magesh Kumar S. , Auxilia Osvin Nancy V. , Balasundaram A , korra Seena Naik , Kothandaraman D , Sudarshan E
Published: December 2020

This work concentrates around the task scheduling depends on QoS and imperative of desire. Under nature of vibrant cloud computing, effectiveness improving of scheduling of task and load balancing are interminable issues. For clients, be that as it may, it’s progressively imperative to meet their necessities of QoS. This paper identifies with an improvement decency intention depends on new Berger’s model under the earth of vibrant cloud computing. As indicated by the distinctive kind of task scheduling, we portray the need of decency, proficiency and the Balance among advantage and reasonableness separately. We recompile the CloudSim and recreate the three undertaking task scheduling above based on expanded CloudSim individually. The exploratory outcomes show that this calculation portion not just meet the guideline of offering need to profit with because of thought to decency, yet additionally address clients’ issues of orchestrated QoS.
RETRACTED: An Overview on Prediction of Plant Leaves Disease using Image Processing Techniques
Authors: Sakhamuri Sridevi , Kompalli Vijaya Sri
Published: December 2020

In the Indian Economy, agriculture plays a main role, therefore prior detection of plant diseases will aid in maximizing the productivity of the crops thereby adding to the economy’s augmentation. To predict the plant diseases, manual identification is used earlier but it requires vast manpower and wide knowledge about plants. Multi disease models and pest prediction can be automated using image processing techniques. This paper shows an overview of various image processing techniques to obtain and organize diseases in the plant. Developing contamination, supplement lack, dry season, and so on are the reasons in light of which plants are inclined to the various sicknesses. Illnesses can be found on the root, stem, branches, leaves, blossoms, and organic products. Diseases in plants are the main production and financial losses also decrease in agricultural product quality and quantity. To propose a proper solution for relating illness, recognizable proof, and arrangement of infections is significant. We reviewed a simple plat leaf disease detection system that would ease progressions in agriculture. The survey on various classification techniques presented in this paper for plant leaf diseases. An Automatic finding of plant diseases is significant to regularly find out the disease signs as soon as they emerge on the mounting phase.
Analysis of Cryptography Encryption for Network Security
Authors: Esther Jyothi V. , Prasad Dr. BDCN , Mojjada Dr Ramesh Kumar
Published: December 2020

In order to secure network and data transmission via a wireless network, cryptography and network encryption is being used. Providing data protection is one of the key aspects of wireless network data transmission. There are sensors in the wireless networks; they are linked to the base station. The need for protection of the wireless network sensor is very critical, and encryption and network security are necessary. Network security includes security for the terminal system as well as for the whole network system. Network security is one of the main concerns as the world transitions into the digital world. Security of the network provides security for administrator managed data. Increasing communication technology also requires safe communication which is met through various encryption techniques such as cryptography, digital signatures, watermarking, steganography and other applications. Cryptography is a technique of encryption used to protect the network, as various networks are related and admire attacks and intrusions. In this paper we discuss the cryptography with its aims, forms and algorithms. Intrusion and computer protection technologies are also used in attack forms.
RETRACTED: Detecting Faults within a Cloud Using Machine Learning Techniques
Authors: Daya Sagar K. V. , Kavitha J , Kadaru Dr. Balabrahmeswara , Venkateswara Rao M. , Kamesh D. B. K.
Published: December 2020

In distributed computing, clients can get to cloud administrations using the web. In present days, in superior registering and cloud frameworks, disappointment is an inexorably significant issue. Alleviating the impact of misfortune and making stable conjectures with excellent lead time stays an overwhelming exploration issue as huge scope frameworks keep on creating in scale and multifaceted nature. Because of the advancing unpredictability of elite figuring frameworks, specific current adaptation to internal failure procedures, for Example, successive registration and replication are not adequate. It includes the significance of having a productive and useful way to deal with disappointment the executives set up to relieve the impacts of disappointment inside the framework. With the approach of AI methods, the capacity to gain from past data to anticipate future personal conduct standards makes it conceivable to foresee potential framework disappointment all the more precisely. Along these lines, in this paper, by applying a few calculations to improve the exactness of disappointment forecast, we investigate the prescient capacities of AI. We have set up an expectation of disappointment. The fundamental analysis that we have Random backwoods (RF), SVM, Classification and Regression Trees (CART) considered). Exploratory discoveries show that comparative with different calculations, the typical expectation precision of our paradigm utilising SVM while foreseeing breakdown is 92% exact and productive. This discovering implies that all likely future device and application disappointments can be viably imagined by our cycle inside.
A Privacy Preserving System for Protecting Cloud Based Health Care Records Using Fine Grade Access Techniques
Authors: Aruna Sri P. S. G. , Anusha M. , Kiran Kumar K. , Sridevi S.
Published: December 2020

Protection of privacy has also received increasing attention in many fields, mainly in the sense of the Individual Health Record (IHR), as cloud computing has become an essential activity in the real world. Traditional encryption of the cypher text policy (CP-ABE) allows you to track the scrambled PHR information policy in a fine-grained fashion. Still, with the cypher text, the access policy is also sent. However, the entry policy does not allow users to be anonymous, as a considerable amount of sensitive information from legitimate users of the app is needed. It is now necessary to protect users [[CHECK_SINGLEQUOT_ENT]] privacy by hiding access methods. The vast majority of previous plans, however, have to address two problems: the first problem is that specific plans do not embrace a broad universe of attributes, so their common sense in PHR is dramatically reduced, and the second is that the decryption cost is very high because the entry mechanism is set up in the cypher paper. This dramatically reduces their usefulness as a result. To solve these issues, we are constructing a CP-ABE plot with sufficient decryption, where together the size of the available limits and the cost of decryption is endless. Also, using the dual system encoding technique, we show that the proposed conspiracies achieve optimum protection in the basic model.
A Novel Cosine-based Internal and External Validation metrics to assess twitter Data Clustering using Hybrid Topic Models
Authors: Noorullah R M , Mohammed Moulana
Published: December 2020

In document clustering labeled and unlabeled documents are organized into a desired number of coherent and meaningful sub-clusters. Topic models are useful in extracting cluster tendency from Twitter-based data document clusters. Evaluating cluster tendency and performance with a reliable metric is one of the unsolved problems in topic document clustering. In the previous study cluster validity metrics have been proposed under Euclidean distance measure, these metrics underperform in topic models when dealing with numerical databases and for large corpus datasets. In this paper, to assess Twitter data clustering a novel cosine based internal and external validity indices used by considering closeness between documents, the lexical similarity and cluster classification metrics for each topic separately using Hybrid topic models. Experimentally proved the effectiveness of cosine based internal and external validity metrics and results compared with Euclidean metrics using benchmark and Twitter-based datasets.
Checking For Identity-Based Remote Data Integrity Cloud Storage with Perfect Data Privacy
Authors: Akarapu Mahesh , Martha Sheshikala , Donthamala Koteshwar Rao , Prashanth B , Sunil G. , Mahender K.
Published: December 2020

The protection of the data maintained on a database system has the benefit that the cloud service creates a dynamic high-order and often a management issue comparable to the security operating costs. Multiple Online Compensation Monitoring Protocols have been developed to date that will pose a key problem to protect the privacy of cloud-based details. The much-needed role of the data servers is to render the data available to the consumer as necessary in the heavy traffic scenario. In this article, we planned privacy security for unavailable data held by the user, and promoted identification by using encryption strategies such as sha1 and sha2 algorithms to improve user data safety. We use zero general knowledge tests against third force Settlers which in effect improve the user data confidentiality. Under-reaching is achieved in our architecture by the use of file cabinet signature tune generating servers that operate in compliance with wirework traffic and attempt to access the less significant traffic wire work with the necessary details. Our strategy has proved to be safe in the face of threats of abuse, supplying the high-security department with identity-based consumer data deposit and improving efficiency by settling well on the server over cloud vehicle traffic. Implies being more directly linked to defensive shell, which often implies being protected which realistic.