bluuebunny/crossref_metadata_2025 huggingface dataset:
The Investigation of Organic Binder Effect on Morphological Structure of Ceramic Membrane Support
Authors: Boussemghoune Mohamed , Chikhi Mustapha , Ozay Yasin , Guler Pelin , Ozbey Unal Bahar , Dizge Nadir
Published: May 2020

In this study, we investigated the effect of different organic binders on the morphologic structure of ceramic membrane support. Natural raw clay material (kaolin) was used as the main mineral for ceramic membrane support. The physical and chemical properties of kaolin powder and the supports were identified by X-ray fluorescence (XRF), X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FTIR), Brunauer–Emmett–Teller (BET), thermo gravimetric analysis (TGA), scanning electron microscopy (SEM), particle size and zeta potential distribution. Based on the XRF test, the main composition of kaolin powder was SiO2 (47.41%) and Al2O3 (38.91%), while the rest were impurities. The FTIR spectra showed the functional groups of Si-O and Al-O. The XRD diffractogram of natural raw clay powder identified kaolinite and nacrite were the main mineral phase whereas muscovite and quartz were detected in small quantities in the sample. After prepared the ceramic membrane supports, XRD diffractogram showed that anorthite and gehlenite were detected as the main mineral phases for ethylene glycol (EG), gelatin, methocel and for polyethylene glycol (PEG), respectively. According to BET analyses, the maximum and the minimum pore width were obtained for PEG and gelatin organic binders.
Potential Roles and Functions of Listerial Virulence Factors during Brain Entry
Authors: Banović Franjo , Schroten Horst , Schwerk Christian
Published: May 2020

Although it rarely induces disease in humans, Listeria monocytogenes (Lm) is important due to the frequency of serious pathological conditions—such as sepsis and meningitis—it causes in those few people that do get infected. Virulence factors (VF) of Lm—especially those involved in the passage through multiple cellular barriers of the body, including internalin (Inl) family members and listeriolysin O (LLO)—have been investigated both in vitro and in vivo, but the majority of work was focused on the mechanisms utilized during penetration of the gut and fetoplacental barriers. The role of listerial VF during entry into other organs remain as only partially solved puzzles. Here, we review the current knowledge on the entry of Lm into one of its more significant destinations, the brain, with a specific focus on the role of various VF in cellular adhesion and invasion.
Protocol and Reagents for Pseudotyping Lentiviral Particles with SARS-CoV-2 Spike Protein for Neutralization Assays
Authors: Crawford Katharine H. D. , Eguia Rachel , Dingens Adam S. , Loes Andrea N. , Malone Keara D. , Wolf Caitlin R. , Chu Helen Y. , Tortorici M. Alejandra , Veesler David , Murphy Michael , Pettie Deleah , King Neil P. , Balazs Alejandro B. , Bloom Jesse D.
Published: May 2020

SARS-CoV-2 enters cells using its Spike protein, which is also the main target of neutralizing antibodies. Therefore, assays to measure how antibodies and sera affect Spike-mediated viral infection are important for studying immunity. Because SARS-CoV-2 is a biosafety-level-3 virus, one way to simplify such assays is to pseudotype biosafety-level-2 viral particles with Spike. Such pseudotyping has now been described for single-cycle lentiviral, retroviral, and vesicular stomatitis virus (VSV) particles, but the reagents and protocols are not widely available. Here, we detailed how to effectively pseudotype lentiviral particles with SARS-CoV-2 Spike and infect 293T cells engineered to express the SARS-CoV-2 receptor, ACE2. We also made all the key experimental reagents available in the BEI Resources repository of ATCC and the NIH. Furthermore, we demonstrated how these pseudotyped lentiviral particles could be used to measure the neutralizing activity of human sera or plasma against SARS-CoV-2 in convenient luciferase-based assays, thereby providing a valuable complement to ELISA-based methods that measure antibody binding rather than neutralization.
Examining the Effect of Heat Stress on Montastraea cavernosa (Linnaeus 1767) from a Mesophotic Coral Ecosystem (MCE)
Authors: Skutnik John E. , Otieno Sango , Khoo Sok Kean , Strychar Kevin B.
Published: May 2020

Coral reefs are under increasing pressure from global warming. Little knowledge, however, exists regarding heat induced stress on deeper mesophotic coral ecosystems (MCEs). Here, we examined the effect of acute (72 h) and chronic (480 h) heat stress on the host coral Montastraea cavernosa (Linnaeus 1767) collected from an upper MCE (~30 m) in Florida, USA. We examined six immune/stress-related genes: ribosomal protein L9 (RpL9), ribosomal protein S7 (RpS7), B-cell lymphoma 2 apoptosis regulator (BCL-2), heat shock protein 90 (HSP90), catalase, and cathepsin L1, as a proxy for coral response to heat stress. Quantitative real-time polymerase chain reaction (qRT-PCR) was performed to evaluate the gene expression. Overall, both acute and chronic heat stress treatments elicited a response in gene expression relative to control samples. Acute heat exposure resulted in up-regulation of catalase, BCL-2, and HSP90 at all time points from hour 24 to 48, suggesting the activation of an oxidative protective enzyme, molecular chaperone, and anti-apoptotic protein. Fewer genes were up-regulated in the chronic experiment until hour 288 (30 °C) where catalase, RpL9, and RpS7 were significantly up-regulated. Chronic heat exposure elicited a physiological response at 30 °C, which we propose as a heat-stress threshold for Montastraea cavernosa (M. cavernosa) collected from an MCE.
The Effects of Sodium Percarbonate Generated Free Oxygen on Daphnia—Implications for the Management of Harmful Algal Blooms
Authors: Thoo Robin , Siuda Waldemar , Jasser Iwona
Published: May 2020

Increasing frequencies and durations of harmful algal blooms are a nuisance in many aquatic ecosystems. This has led to the use of a variety of control methods to prevent their appearance or to disperse them following their establishment. Most of these methods are not selective; consequently, research into alternative selective methods has been ongoing. Reactive oxygen species generated following the addition of hydrogen peroxide have been shown to selectively target the cyanobacterial component of harmful algal blooms in experimental and field settings. This study assesses the effects of increasing concentrations of reactive oxygen species from the addition of sodium percarbonate on zooplankton in a small experimental setting using a natural plankton sample. It was found that the genus Daphnia showed moderate sensitivity to sodium percarbonate. Preliminary evidence suggests that the size of an individual may affect the probability of survival, with larger individuals having a lower likelihood of survival. Lower survival rates of large Daphnia were hypothesized to have been caused by higher relative filtration rates of larger individuals. From the zooplankton data obtained, we suggest that a safe concentration of sodium percarbonate for Daphnia individuals would be below 10.0 mg·L−1 sodium percarbonate (2.8 mg·L−1 hydrogen peroxide).
Developing a Risk-Based Consensus-Based Decision-Support System Model for Selection of the Desirable Urban Water Strategy: Kashafroud Watershed Study
Authors: Javidi Sabbaghian Reza , Nejadhashemi A.
Published: May 2020

In recent years, complexities related to a variety of sustainable development criteria and several preferences of stakeholders have caused a serious challenge for selecting the more desirable urban water strategy within watershed. In addition, stakeholders might have several risk attitudes depending on the number of criteria satisfied by water strategies. Accordingly, a risk-based consensus-based group decision-support system model is proposed for choosing the more desirable water strategy, using the external modified ordered weighted averaging (EMOWA) and internal modified ordered weighted averaging (IMOWA) operators. The operators calculate the scores of strategies in several risk-taking attitudes of group decision-making, considering the sustainable development criteria. Additionally, the consensus-seeking phase is considered using a risk-based weighted Minkowski’s method. This model is successfully implemented for the Kashafroud urban watershed in Iran, for selecting the more desirable urban water strategy in 2040. Accordingly, in the completely risk-averse viewpoint, the stakeholders select the combined supply-demand management strategy satisfying all of the criteria. In contrast, in the completely risk-prone standpoint, the stakeholders choose the demand management strategy satisfying at least one criterion. Developing the risk-based consensus-based group decision-support system model is suggested for integrated urban watershed management for selecting the more desirable strategy, satisfying the sustainable development criteria.
Effect of Temperature on the Size of Sedimentary Remains of Littoral Chydorids
Authors: Korponai János L. , Kövér Csilla , López-Blanco Charo , Gyulai István , Forró László , Katalinic Ana , Ketola Mirva , Nevalainen Liisa , Luoto Tomi P. , Sarmaja-Korjonen Kaarina , Magyari Enikő K. , Weckström Jan , Urák István , Vadkerti Edit , Buczkó Krisztina
Published: May 2020

The body size of aquatic invertebrates is, to a great extent, dependent on ambient temperature, but size distributions are also determined by other factors like food supply and predation. The effect of temperature on organisms is formulated in the temperature–size hypothesis, which predicts a smaller body size with increasing temperature. In this study, the effect of temperature on the subfossil remains of three littoral Cladocera (Alona affnis, A. quadrangularis, and Chydorus cf. sphaericus) was investigated. Exoskeletal remains of these species can be found in large numbers in lacustrine sediments and over a wide north–south range in Europe. The total length of both headshield and postabdomen for A. affinis and A. quadrangularis and carapace length for C. cf. sphaericus were measured to observe their response to changes in latitude and temperature. A different response to ambient temperature in the growth of body parts was observed. The size of the headshields of both Alona species and of the carapace of Chydorus was significantly larger in colder regions as opposed to warm ones. It turned out that the postabdomen was not a good predictor of ambient temperature. While the sizes of all remains increased with latitude, the sizes of the Alona remains was smaller in the mountain lakes of the Southern Carpathians than in other cold lakes, in this case in Finland, a fact indicative of the importance of other factors on size distribution. This study demonstrates that a morphological response to climate is present in littoral cladocerans, and, therefore, changes in the length of headshield and carapace may be used as a proxy for climate changes in paleolimnological records.
Water and Fertilizer Use Efficiency in Subirrigated Containerized Tomato
Authors: Méndez-Cifuentes Ariel , Valdez-Aguilar Luis Alonso , Cadena-Zapata Martín , González-Fuentes José Antonio , Hernández-Maruri José Alfredo , Alvarado-Camarillo Daniela
Published: May 2020

Greenhouse cultivation is highly efficient in the use of water and fertilizers. However, due to intensive production, the greenhouse industry applies ample amounts of water and fertilizers. An alternative to minimize water and nutrient loss is zero-leaching systems, such as closed-loop subirrigation. The objective of the present study was to compare the water and fertilizer use efficiency in containerized tomato plants grown in a subirrigation system and a drip irrigation system. Subirrigated plants exhibited lower biomass than drip-irrigated plants. However, the amount of nutrient solution required to restore evapotranspirated water was lower in subirrigation. The yield was marginally decreased in subirrigated plants compared to drip-irrigated plants. The amount of nutrient solution required to produce 1 kg of fresh tomatoes was 22 L in subirrigation, whereas in drip irrigation, plants demanded 41 L. The total nitrogen applied through the nutrient solution was 75% lower in subirrigation than in drip irrigation, while the phosphorus, potassium, calcium and magnesium applied was 66%, 59%, 70% and 74% lower, respectively. We concluded that the subirrigation system proved to be more water- and nutrient-efficient than the drip irrigation system due to the zero leaching of the nutrient solution, the lower number of irrigation events required and the lower nutrient demand of plants.
An Integrative Model of Teacher Education: Educating Teaching Knowledge and Social, Cognitive and Affective Skills
Authors: Hirshberg Matthew James
Published: May 2020

Teacher quality explains more variance in student outcomes than any other school-based factor. An effective teaching corps is vital in order to improve educational outcomes, but effective teaching is complex. Effective teachers adaptively regulate the classroom environment, promoting safe, organized learning contexts that promote student engagement and are sensitive to the academic, social and emotional needs of students. Research has illuminated teaching behaviors that optimize student engagement and learning, but little theoretical or empirical work has explicated the antecedents that allow for these behaviors to emerge. Without identifying and then educating these antecedents, teachers can learn about effective practices without being able to enact them. In this review, core antecedent skills involved in teaching are identified, operationalized and disaggregated from teaching knowledge and from the teaching behaviors that are recognized as effective forms of practice. A novel developmental model for teacher education that marries the cultivation of knowledge with skills is proposed.
FPGA Based Vector Control of Induction Motor
Authors:   EECE Department, GITAM (Deemed to be University), Hyderabad, India., Srinivas G , Krishna Dr. P.V. Rama ,   EECE Department, GITAM (Deemed to be University), Hyderabad, India.
Published: May 2020

To get the desired response of the sensor less Vector controlled Induction Motor (SVC-IM) by the experimental setup, the controller implementation for the generation of the PWM signals is the key role. It is possible with the rapid growth of electronic industry such as high speed digital signal processors (DSPs) with micro controllers available in the present market. In the past DSP technologies were used to realize the several SVC-IM schemes, i.e. KF, PI, GA and PSO respectively. However, it creates issues related to the time delay and execution of the PWM signals, etc., as a results system becomes complex. Therefore a new approach is implemented to overcome the issues related to the execution time, namely Field Programmable Gate Array (FPGA) processors are suggested in the present market. Moreover the programming is done using very high speed hardware descriptive language (VHDL).
Measurement and Analysis of the Dynamic Load Modeling for Smart Grid Environment
Authors:   Network and Communication Technology, Research Center for Cyber Security, Faculty of Information Science and Technology, National University Malaysia (UKM), UKM, 43600 Bangi, Selangor., Hasan Mohammad Kamrul , Ahmed Musse Mohamud ,   Department of Electrical and Electronics Engineering, Faculty of Engineering, Universiti Malaysia, 94300 Kota Samarahan. Sarawak, Malaysia, Shamilawani Noor Farhana ,   Department of Electrical and Electronics Engineering, Faculty of Engineering, Universiti Malaysia, 94300 Kota Samarahan. Sarawak, Malaysia
Published: May 2020

This paper mainly focuses the dynamic modeling to overcome the severe challenges of dynamic characteristics of loads of Smart Grid System in Kuching and Samalaju, where facility loads have significant consequences to the power system stability. Appearances of conventional types of loads, which are power-electronic, based or interfaced and it requires operating with increasing non-conventional and intermittent types of generation. These lead to an interest in dynamic modeling. In Sarawak Energy Berhad (SEB) power grid, the instability of the voltage, frequency deviations of the power system can damage the bulk load and important data as well. Dynamic modeling is a technique used to model the system to study the power system stability, including system voltage, frequency, and oscillation of the generation. This paper proposes dynamic modeling that will be done based on the data at the Kuching Bulk Load of SEB. Moreover, this study also assesses the time-domain dynamic simulation by comparing the recorded and simulated response as well as assess the parametric study using the parameter estimation method (Least Square Error). The selected model of the bulk load can be optimized by converging on the data of the Least Square Error Method in this study.
Optimization of Osmo- Dehydration Process of Honey Ginger Candy by using Response Surface Methodology
Authors:   Associate Professor, Department of Mathematics, Karunya Institute of Technology and Sciences, Coimbatore, India., Stephen S Elizabeth Amudhini , E Vignesh Kumar. ,   Department of Food Processing, Karunya Institute of Technology and Sciences, Coimbatore
Published: May 2020

This report is to investigate the effects of process variables on the solid gain, water loss using the Response surface methodology (RSM). The ginger was Osmo-dehydrated using process variables such has blanching time, the temperature for an osmotic solution, immersion, & convective drying temperature .response variables tested were solid gain and water loss. The blanching is done to inactivate the enzyme and to increase permeability in ginger candy. The optimum Osmo-convective process conditions for a maximum solid gain, water loss, and overall acceptability of honey-ginger candy were 8.39 min blanching time, 39˚Csolution temperature, 94 min immersion time, and 70˚C convective drying temperature.
Numerical Simulation of a Proton Exchange Membrane PEM Fuel Cell with Rectangular and Triangular Cross-Section Area Channels
Authors:   Mechanical Engineering Department, Memorial University of Newfoundland (MUN), St. John’s, NL, Canada., Etminan Amin
Published: May 2020

In the present study, the performance of a Proton Exchange Membrane (PEM) fuel cell is numerically simulated for two channels with rectangular and triangular cross-section areas. A series of simulations is carried out to investigate both the influence of the humidity and the temperature of the input gas as two effective parameters on the performance of a PEM, which change from 10% to 100% and 30°C to 60°C, respectively. Numerical results indicate that more moisturized input gas produces a higher output voltage for both geometries. Furthermore, the triangular duct generates a higher output voltage in comparison with the rectangular duct, particularly, in the case of the parallel flow. In addition, the temperature of the input gas remarkably enhances the output voltage of the PEM. A qualitative agreement is achieved by comparing the present results to existing experimental data.
Summarization of Hindi News Editorial with Sentiment Determination
Authors:   Associate Professor, Computer Science department, SRM Institute of Science and Technology, Chennai, India., Pandian A. , Rajeshwari  ,   Student, Computer Science Department, SRM Institute of Science and Technology, Chennai, India., Saxena Abhishek ,   Student, Computer Science Department, SRM Institute of Science and Technology, Chennai, India.
Published: May 2020

Text summarization is a natural language processing application that is being researched extensively and applied further to reduce the processing time for various long-winded text-based activities. However, as NLP is still in its budding phase, the work is relatively limited to the English language, leaving regional languages rather untouched despite having an incredible following of speakers. Such is also the case with the Hindi language. In this paper, we propose to come up with an effective method of summarisation news articles in the Hindi language. Like the English variant of this application, we wish to emphasize on the important sections of a Hindi news report and summarize it within 60 to 80 words. The summarization technique will try to identify the theme of the news, named entities and numbers, title terms, etc., for constructing a keyword table. This will be further compared against a knowledge base with weighted keywords for ranking the important sentences in the relevant order and finally picking out the sentence most needed for the summary. Our goal for summarizing the Hindi news articles specifically roots from the dilemma that despite these articles being a rich source of opinionated information about various topics, they are often ignored by the readers because of their long-winded nature that makes the useful information lost in the sea of words decorated by winded introductions and linguistic ornaments like idioms. Hence, this system should enable in an effective means of summary for finding useful information along with pruning all such irrelevant details.
Detection of Clone Attacks in Manets using Ant Colony Optimization
Authors:   Research Scholar, I.K. Gujral Punjab Technical University, Kapurthala., Anubha  , Bedi R P S ,   Research Scholar, I.K. Gujral Punjab Technical University, Kapurthala.
Published: May 2020

Wireless and mobile computing enables the spontaneous networking of a system with or without previous set-up. Mobile Ad Hoc Network (MANET) is a Wi-Fi grid that has already been developed and does not require an existing infrastructure for a specific extemporaneous operation. Any node can then connect or exit the network, which will permit the attacker to access the whole system. These networks are liable to various attacks. This paper directs detection of the clone attack from MANETs in which the attacker node steals the id of the closing node, twin it and attracts all the data towards it. ACO noticed the clone attack and measured performance based on the packet drops, packet delivery ratio and network throughput.
Enhancement of Permit to Work System Toward Safety Risk Assessment Supporting by GPS Face Recognition and IoT Research on Company XYZ
Authors:   Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University, Jakarta, Indonesia, Purwoko Hery , Liawatimena Suryadiputra ,   Computer Science Department, BINUS Graduate Program – Master of Computer Science, Bina Nusantara University, Jakarta, Indonesia 11480 2) Computer Engineering Department Faculty of Engineering Bina Nusantara University, Jakarta, Indonesia
Published: May 2020

An increase in the number accident related to the permit to work (PTW) has overwhelming, as in the past, the explosion and fire accident which occurred in the Piper Alpha offshore oil and gas platform in 1988, have killed 167 workers, and also the lack of an issued permit for the actual job, was one of the reasons for the Hickson and Welch accident in 1992 was attributed mainly to human error including deficiencies in the permit to work (PTW) system. Moreover, at company XYZ (2015) because of PTW risk assessment is not adequately conducted onsite, and the technician neglect the potential hazard associated with his work, his experience a lost-time injury (LTI). Therefore, an enhancement of PTW by using GPS, Bio Metric (Face recognition) and IoT to make sure the worker doing PTW properly and make the risk assessment (process with Natural language) onsite before commencing the non-routine job is the essential safety requirement. This research is aim to enhance the existing conventional permit to work system (PTW) into ePTW, (Electronic Permit to Work) information system focus on creating Risk Assessment support by implementing a mobile cloud computing using GPS and Face recognition to verify that the workers are on-premises to do proper PTW and smart lock (IoT) to ensure the isolation done properly, all these features is to help reduce the probability of human errors or non-conformance. PTW enhancement evaluation is using Analytic Maturity Assessment Model to analyze whether the established system in the company or organization is mature enough and valuable of the safety processes and gives positive impacts to the company its overall business performance through safety best practice.
Smart Wearable Device for Elderly Dementia People
Authors:   Computer Science and Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India., D Surendran , R Kiruthika V ,   Computer Science and Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India.
Published: May 2020

Millions of individuals worldwide are infected by a serious disorder known as Dementia with collection of symptoms which will embody blackout and feel inconvenient to think, solve problems. Dementia is controllable if the person is within the drafting board of not wellness, so as to help such dementia affected people, the target is to style sensible smart wearable device that motivates and enthusiast their life easier. The good device practises on 3 operations. At first the routine activities are monitored by the sensors and trained using a machine learning algorithms which are fed to a smart device based on the data, it guides the person with physical activities. Then an indoor tracking of a person is carried out by beacon signals through which if person forgets to do next activity, smart device guides them by learning the patterns of a person about their movements in indoor. At last an outdoor tracking of a person is carried out using GPS signals enabled in a smart device which helps the person to find their way to home even when they missed the way or suffers from memory loss. If any different texture or feedback is not received from the patient to any of the above mentioned activities the smart device alerts the caretaker in the form of message through app. Thus, this smart device reduces the burden of the caretaker
Gait Abnormality Classification in Clinical Field
Authors:   Department of ECE, Sri Krishna College of Engineering and Technology, Coimbatore, India, Sophia S. , Sowmiya K. ,   Department of ECE, Sri Krishna College of Engineering and Technology, Coimbatore, India, Vinesha P. ,   Department of ECE, Sri Krishna College of Engineering and Technology, Coimbatore, India, Rajarajeshwari S. ,   Department of ECE, Sri Krishna College of Engineering and Technology, Coimbatore, India, Janani A. Athithya ,   Department of ECE, Sri Krishna College of Engineering and Technology, Coimbatore, India
Published: May 2020

This paper presents a novel technique of classifying the abnormalities in gait. Determining or analyzing the different movements in the limbs of human beings, gait assessment can be made. Gait prediction plays a dynamic role in the clinical field to improve the outcome of the treatment. By predicting the type of abnormalities of gait, the patients can be provided with the proper treatment and thus improving the quality of life. In the proposed method, convolutional neural network and support vector machine algorithm have been used in classifying the various abnormalities of gait such as freezing of gait, brady kinesia, Tremor, Ataxic gait, myopathic gait and muscle atrophy. This method provides greater accuracy and thus helpful in diagnosis of various abnormalities of gait.
Radiated Emission Due to Common Mode Current in Smps
Authors:   Department of Electronics and Communication, University Visvesvaraya College of Engineering Bangalore University, Bangalore, India, Shantala  , Sudheer M. L. ,   Department of Electronics and Communication, University Visvesvaraya College of Engineering Bangalore University, Bangalore, India
Published: May 2020

The high frequency switching of semiconductor switches in Switched Mode Power Supplies (SMPS) cause high dV/dt and dI/dt resulting in differential mode (DM) and common mode (CM) conducted and radiated Electromagnetic Interference (EMI). The CM noise current circulating through the ground path is the major contributor for radiated EMI in the frequency range of 30 MHz to 1 GHz which will usually be above the stipulated international standards and are addressed here. The high dV/dt and dI/dt are major sources of EMI producing noise currents which will get coupled to ground through parasitic capacitances. The prominent parasitic capacitors are present in high frequency transformer and the semiconductor’s coupling to ground. They provide path for both DM and CM noise currents. The CM currents flowing in the different prominent parasitic capacitors are obtained by simulation for the four different topologies namely, non-isolated Buck, non-isolated Boost, Flyback and Forward converters. The radiated Emissions are calculated for each of the topologies and are presented. All the four converters are operated at same switching frequencies with same values of parasitic capacitances. The non-isolated Boost converter is found to generate higher radiated emissions due to CM current than the non-isolated buck converter and Forward converter has higher radiated emissions than Flyback converter. The results presented here can be used to decide on the topology of SMPS for a given application when EMI mitigation is a priority
Optimization of Blood Pressure Waveforms using Adaptive, Bandpass Filters and Wavelet Methods in MATLAB
Authors:   Assitant professor Department of ECE, Sri Krishna College of Technology, Coimbatore., S Shalini , S Mutamilan ,   studying, Electronics and communication Engineering, Sri Krishna College of Technology, Coimbatore., R Monisha ,   studying Electronics and communication Engineering in Sri Krishna College of Technology, Coimbatore., M Nithish ,   studying Electronics and communication Engineering in Sri Krishna College of Technology, Coimbatore. His area of interest is Automation Electronics.
Published: May 2020

Cardiac catheterization is one of the most important way to examine the hemodynamics of a particular patient. In this technique, the whole part of the blood pressure waveforms can be captured and recognized by the cardiologist. These types of measurements are classified by the respiration and fluid filled in catheter, by means of this technique. By this, the measurement will be more accurate, when the artifacts in the waveforms has been removed. In this report we mainly focuses upon the effects of the respiratory artifacts in which the blood pressure signals can be accompanied during the process of catheterization. In this particular project, we use four methods, they are two adaptive filters, one wavelet based method and standard bandpass filters are determined. The blood pressure waveform includes systolic and diastolic pressures. All the above mentioned categories and its methods has been implemented in MATLAB and validated.
Reconstruction of Gene Regulatory Network using Modified Ant based Algorithm
Authors:   Computer Technology Department, YCCE, Nagpur, Maharashtra, India., Wajgi Rakhi , Kshirsagar Manali ,   Principal RGCER, Nagpur, Maharashtra , India,, Wajgi Dipak ,   Computer Engineering Department, SVPCET, Nagpur, Maharashtra, India, Chaudhary Gauri ,   Computer Technology Department, YCCE, Nagpur, Maharashtra, India., Dhopavkar Gauri ,   Computer Technology Department, YCCE, Nagpur, Maharashtra, India.
Published: May 2020

Healthcare is a major area of research since few years. Ample amount of biological data getting accumulated daily due to advancement in technologies. Microarray is such technology which captures expressions of thousands of genes at a time. Interactions occur among genes are represented in terms of special networkeknown as Gene Regulatory Network (GRN). It is constructed from Differentially Expressing Genes(DEFs). GRN is a graphical representation containing genes as nodes and regulatory interactions among them as edges. It helps in tracking pathways where usual gene interaction changes leading to malfunctioning of cells and results in illness. Also, now a day’s people are diagnosed with new diseases like dengue, swine flu, Nipah, Corona virus infection for which exact molecular pathways are yet to be invented through GRN. Therefore, in this paper, a nature inspired algorithm is used for reconstruction of GRN using differentially expressing genes.
Electre Method in Selection of a Seventh Party Logistics Provider 7pl
Authors:   Department of Mechanical Engineering, Andhra University, Visakhapatnam, Andhra Pradesh, India., Praveena J. , Devi M. Pramila ,   Department of Mechanical Engineering, Andhra University, Visakhapatnam, Andhra Pradesh, India.
Published: May 2020

The main aim of this paper is to evaluate and select a Seventh Party logistic service provider as a Multi criteria Decision Making Problem using Electre Method. This method allows in outranking and choosing a promising 7PL among the alternatives by consider various parameters. Evaluation and selection procedure is discussed in detail. Electre method is often used for ranking among alternatives.
FPGA based Image Enhancement using KNN and PSO with BM3D
Authors:   Department of PG Studies, Visvesaraya Technological University, Belgaum, Karnataka, India, Sontakke Mandar D. , Kulkarni Meghana ,   Department of PG Studies, Visvesaraya Technological University, Belgaum, Karnataka, India
Published: May 2020

Picture upgrade utilizing streamlined strategies alongside advanced channels is need of current period. A tale system is proposed right now, have KNN based pixels orders technique. This arrangement is utilized to distinguish commotion level and just boisterous pixels are prepared utilizing upgraded BM3D utilizing molecule swarm improvement. The outside gathering pixels are brought once again into bunch in this way expelling the clamor. The procedure is additionally trailed by goals improvement and Retinex for dynamic introduction reason. The FPGA usage is done to approve the aftereffects of upgrade. The performance evaluation of the proposed method shows better results over other techniques using FPGA experimentation.
Improved Chicken Swarm Optimized Recurrent Neural Networks for Big Data Intrusion Detection System
Authors:   Department of Computer Science, Sree Saraswathi Thyagaraja College, Pollachi - 642 107, Tamil Nadu, India., Sudha P. , Gunavathi R. ,   Master of Computer Science and Applications, Sree Saraswathi Thyagaraja College, Pollachi, Tamil Nadu, India.
Published: May 2020

Cyber security threats are an ever increasing, frequent and complex issue in the modern information era. With the advent of big data, incremental increase of huge amounts of data has further increased the security problems. Intrusion Detection Systems (IDS) were been developed to monitor and secure the cyber data systems and networks from any intrusions. However, the intrusion detection is difficult due to the rapid evolution of security attacks and the high volume, variety and speed of big data. In addition, the shallow architectures of existing IDS models lead to high computation cost and high memory requirements, thus further diminishing the efficiency of intrusion detection. The recent studies have suggested the use of data analytics and the deep learning algorithms can be effective in improving the IDS. An efficient IDS model is developed in this study by using the improved Elman-type Recurrent Neural Networks (RNN) in which the Improved Chicken Swarm Optimization (ICSO) optimally determines RNN parameters. RNN is an efficient method for classifying network traffic data but its traditional training algorithms are slow in convergence and faces local optimum problem. The introduction of ICSO with enhanced global search ability significantly avoids those limitations and improves the training process of RNN. This optimized deep learning algorithm of RNN, named as ICSO-RNN, is employed in the IDS with Intuitionistic Fuzzy Mutual Information feature selection to analyze larger network traffic datasets. The proposed IDS model using ICSO-RNN is tested on UNSW NB15 dataset. The final outcomes suggested that ICSO-RNN model has high performance in intrusion detection, with minimum training time and is proficient for big data.
Thermal Impact of Reactive Binary Mixture on the Productive Formation
Authors:   Department of Fundamental Mathematics and Mechanics, Institute of Mathematics and Computer Science, Federal State Budget Educational Institution of Higher Education ", V Tatosov A. ,   Tyumen State University",   Tyumen State University, Russian Federation, N Kutrunov V. ,   Department of Fundamental Mathematics and Mechanics, Institute of Mathematics and Computer Science, Federal State Budget Educational Institution of Higher Education "Tyumen State University" Tyumen State University, Russian Federation., N Antipev V. ,   Limited liability company "Energy-2", Russian Federation, N Ivanov A. ,   ZAO “SP “MeKa Mineft, Megion, Russia., B Panchenko N. ,   Department of Business Informatics and Mathematics, Institute of Service and Industry Management, Federal State Budget Educational Institution of Higher Education “Industrial University of Tyumen”, Tyumen, Russia.
Published: May 2020

The process of exploitation of an oil producing well leads eventually to the inevitable clogging of the bottom hole zone which significantly reduces the flow rate. A large number of methods for combating accumulated deposits have been developed. One of the most promising and of scientific interest is the method of feeding a reactive energy-releasing binary mixture into the reservoir. The flowing chemical reaction in the zone away from the bottom leads to a significant increase in temperature and, as a consequence, removal of highly viscous fluids and paraffins. In this paper, we propose a mathematical model for feeding a reacting binary mixture into a reservoir. The effects of rock heating and gas evolution are taken into account. An example of the thermal effect on the reservoir is given.
Cost-Effective Electric Energy Bidding Strategies Applying with Particles Swarm Optimization and Adaptive Particle Swarm Optimization
Authors:   Research Scholar, Maulana Azad National Institute of Technology Bhopal M.P. India., Kumar Pramesh , Bharadwaj S.K. ,   Professor, Electrical Engineering Department MANIT Bhopal M.P., India.
Published: May 2020

Electric energy market is to increase their profit for electricity providers (generators) in an open competitive electricity market and reduce reduced consumer costs by taking into account available power supply, power demand, market clearing prices (MCP) and constraints. The main contribution of this paper is provided more benefit for supplier and this new technique has used overcome the problem of electricity bidding. It may be highly important to manage the market of electricity as per the fair rules. In this paper, PSO and APSO are used to solve the bidding problem. PSO and APSO have many characteristics that similar to Genetic Algorithm (GA) evolutionary computational strategies. Firstly, by integrating the random solution and updating the generation, we get optimal results in the problem space. The possible solutions known as particles are flowing in every direction through the problem area in the PSO, following the optimal current (particle) solution. APSO is recommended for enhancing PSO efficiency (i.e. a different weight modification technique in APSO, weight varies according to the particle size). In the proposed method we use one numerical with six generators (GENCOs) and two large consumers (DISCOMs) are taken into consideration in which total profit is better than in APSO as compared to PSO.
A Weighted Sum of Multi Objective Function based Reliability Analysis with the Integration of Distributed Generation
Authors:   Assistant Professor, Department of E&E, PDA College of Engineering. Karnataka, A Sanjeeva kumar R , Prayaga Kavya ,   Department of E&E, PDA College of Engineering. Karnataka
Published: May 2020

New trends in power system include the placement of the distributed generators (DGs) to overcome the drawbacks of the conventional power system, it can be connected near to the load points. Hence, the placement of DG is an important factor to be considered for the analysis due to its positive as well as negative impacts. An improved analytical approach for enhancing the reliability of the power system has been developed in this paper. By integrating DG of selected penetration level at all nodes of the test system, a set of reliability indices are evaluated based on interruption, improvement indices and blended as the multi-objective functions. Combinations of LVDI and PLRI with reliability improvement index are calculated by selecting the blended indices. Hence, enhanced system reliability is achieved. The analysis is carried out under the MATLAB platform on the standard RTBS bus distribution system.
Sanctuary Novel Mechanism for Data Verification Scheme of Email Services
Authors:   Computer Science and Engineering, Nagarjuna College of Engineering and Technology, Bangalore, India, Patil Shantakumar B , Patil Premjyoti ,   Electronics and communication Engineering, Nagarjuna College of Engineering and Technology, Bangalore, India., A Bhagyalakshmi N ,   Computer Science and Engineering, Nagarjuna College of Engineering and Technology, Bangalore, India., M Harish K ,   Computer Science and Engineering, Nagarjuna College of Engineering and Technology, Bangalore, India., S Sumanjali T ,   Computer Science and Engineering, Nagarjuna College of Engineering and Technology, Bangalore, India., A Swapna K ,   Computer Science and Engineering, Nagarjuna College of Engineering and Technology, Bangalore, India.
Published: May 2020

The paper is all about data verification scheme of E-mail services for a company by developing an intranet mail service for the company through the generation of password. Project is based on sending and delivering the mail. This sequence is faced in a company when a manager has to deliver an authentified mail to a client, which sometime delivered to unknown recipients. To maintain confidential document or record of a company, it is must the mails are authentified by correct user credentials. If any confidential mails are sent by clients, it should not be viewed by the personal assistant. The confidential mails will be blocked which can be viewed only by the permission of the admin. The intranet mail service application will contain User Registration, User Login and Admin Login for providing a better mailing service to the company with more security. The possible outcomes of the project are creating an intranet mail service application for maintaining confidential documents, creating required authentication to send or receive restricted mails
Test Case Prioritization & Selection for an Object Oriented Software using Genetic Algorithm.
Authors:   AIMACT, Banasthali Vidyapith, Rajasthan, India., Vats Prashant , Mandot Manju ,   J.R.N. Rajasthan Vidyapith, Udaipur, Rajasthan, India, Mukherjee Saurabh ,   AIMACT, Banasthali Vidyapith, Rajasthan, India., Sharma Neelam ,   AIMACT, Banasthali Vidyapith, Rajasthan, India.
Published: May 2020

In this paper our aim is to propose a Test Case Selection and Prioritization technique for OOP for ordering the test cases as per in accordance with their priority for finding the faults in the OOS. We have used the heuristic Genetic Algorithm, in order to generating the order of these prioritized test cases for a given OOS. The motive is to put a test case first into the ordered sequence that may have the highest prospective of finding an error in the given OOS & then soon.
Algorithmic Analysis on Adaptive Dragonfly based Optimal Key Generation for Privacy Preservation in IoT
Authors:   JJT Research Scholar, JJT University, Jhunjhunu, Rajasthan, India, Apare Ravindra S. , Gujar Satish N. ,   Professor, BSCOE&R, Narhe, Pune, Maharashtra
Published: May 2020

The Internet of Things (IoT) is a network of Internet-enabled devices that can sense, communicate, and react to changes in their environment. It is commonly applied in many applications, like building automation, medical healthcare systems, transportation, environment monitoring, and energy management. Billions of these computing devices are connected to the Internet to exchange data between themselves and/or their infrastructure. However, the privacy of data seems to be the greatest issue that needs to be solved. This paper intends to develop an improved data sanitization and restoration framework in IoT for higher-order privacy preservation. The preservation process is carried out using key that is optimally selected. For the optimal selection of key, a new Improved Dragonfly Algorithm (IDA) is introduced. Finally, the algorithmic analysis is carried out by varying parameters like enemy distraction weight e and food attraction weight f  of the proposed algorithm
Long Period Waves and Oscillations Over Costa Rica, a Tropical Station
Authors:   Assoc. Prof, Dept of H&S, Vignana Bharathi Institute of Techology, Ghatkesar, Hyderabad, India., Kanakadurga M. , Kumar P. Vinay ,   Asst. Prof, Dept of H&S, Aurora Technological Research Institute, Uppal, Hyderabad, India, Mohammad Salauddin ,   Post Doctoral Fellow, Academia Sinica, Taipei, Taiwan, Yousuf Mohammed ,   Research Scholar, R&D Center, Vignana Bharathi Institute of Technology, Ghatkesar, India, Dutta Gopa ,   Director R&D, Vignana Bharathi Institute of Technology, Hyderabad, India.
Published: May 2020

Seasonal, annual and interannual variations of Ozone Mixing Ratio (OMR) have been studied for 12 years, from balloonsondes and Ozonesondes that were launched over Costa Rica (10oN, 83.4oW), a tropical station, as part of Southern Hemisphere Additional Ozonesondes (SHADOZ) network. It was found that near tropopause region there exists prominent peak of OMR during July month for most of the years. Lomb-Scargle Periodogram (LSP) analysis has been applied for the years 2005-2017 to identify the wave activities and found that Quasi Biennial Oscillations (QBO) with period of 2-2.5 years and even higher period oscillations of 3-4 years are prominent in middle troposphere and lower stratosphere regions which could cause large annual variabilities of OMR fluctuations. Fluctuations of OMR were subjected to Morlet wavelet transform over a year, 2008, to study seasonal variabilities. The wavelet analysis confirm that Madden Julian Oscillations (MJO) with periods 49-60 days are prominent during summer near tropopuase and in lower stratosphere regions, while lower period equatorial Kelvin waves of 14-20 days periods dominate during winter and spring in troposphere region, which could be responsible for maximum seasonal variability.
Machine learning: Enhancing the Perception of the Computer
Authors:   Associate Professor, Dept of Computer Science, New Horizon College, Banglore, Logeswari T.
Published: May 2020

The advancement of technology and networking allows the use of the Web incredibly important. There is thus an exponential increase in data and information via the Internet. This flow thus is a beneficial field of study which can be defined accurately. Internet traffic detection is a very popular method of identifying information. Although so many methods have been successfully developed for classifying internet traffic, computer training technology among them is most popular. A short study of the classification of Internet traffic on various managed and non-regulated computer teaching systems was undertaken by many researchers. This paper will give various ideas to the other researcher’s and help them to learn a lot about machine learning.