bluuebunny/crossref_metadata_2025 huggingface dataset:
Insilico Identification of Potent Inhibitor from Andrographis Paniculata for ESBLs
Authors: Mohamed Aysha NIL , Mohammed Mumtaj Peer , R Dhamotharan
Published: March 2020

The study aimed at docking of TEM - 52 & modeled CTX – M -13 by ethanol extracted compounds from Andrographis paniculata and to predict their binding efficiency. BLAST-P was performed to retrieve suitable templates for homology-modeling using the bla CTX-M sequences obtained from Genbank.  Protein Data Bank (PDB) IDs of these templates were retrieved. Models were prepared using Swiss-Model-Server and verified by Procheck and 3D programmes RAMPAGE was used to prepare Ramachandran plots.   The 13 - Hexyl - oxa - cyclotridec - 10 - En- 2 - one was selected as ligand for this docking study from the data generated by Mass spectrometry analysis of methanol extracted compounds from Andrographis paniculata. The structure was drawn manually with aid of JME and its drug likeliness & molecular properties was calculated using Pre Admet server.  Docking was performed by using docking server. Since the docking results proved that the amino acid residues Ser70,Ser 130,Ser237,Arg 276 and Thr235 of CTX-M-13 (enzyme) make important contacts with the ligand, researchers are expected to duly utilize this information for designing more potent and CTX - M inhibitors.
A Review: Management of Alternaria and its Mycotoxins in Crops
Authors: Nayyar Brian Gagosh , Akhund Shaista , Akram Abida
Published: March 2020

The Deuteromycetes fungal genus Alternaria comprises of different saprophytic as well as endophytic species which are very common and worldwide in their occurance. Importance host plants include several crops. Alternaria spp. generally attacks the aerial ptarts of its host and early blight diseases caused by these fungi inflict serious damage to these crops. There is a growing concern of Alternaria spp. due to their ability to produce mycotoxins with different toxicological properties, which are harmful for human and animal health. Accurate identification of Alternaria spp. and their metabolites is a crucial phase in the implementation of preventive measures and controls in the system from farm to fork. Considering the importance of Alternaria spp. occurance on crops and Alternaria toxins risk assesment, additional studies in this area are indispensable.
Magnetic Field Effect on the Electrical Characteristics of a Monocrystalline n+pp+ Silicon Solar Cell
Authors: Musa Sarhan
Published: March 2020

In this paper, the effect of magnetic field on I-V characteristics of a silicon solar cell of n+pp+ structure is studied in dark and illumination modes. In dark, both the current and the voltage decrease with increasing the magnetic field in forward bias. However in reverse bias, the behavior is different. Under illumination, the effect of magnetic field on I-V characteristics of the silicon solar cell is studied experimentally and simulated using Neural Network Algorithm (NNA). Both short circuit current (Isc) and open circuit voltage (Voc) are measured under the influence of magnetic field. The solar cell efficiency and the fill factor (FF) are calculated without and with the magnetic field. This performance testing of the solar cell under magnetic field can be considered as one of the non-destructive reliability tools.
Cut Detection in Remote Versatile Wireless Sensor Mobile Networks
Authors: Annepu LEELADHAR
Published: March 2020

A remote sensor system can get differentiated into different joined segments because of the disappointment of some of its hubs, which is known as a "cut". In this project we consider the issue of catching cuts by the remaining hubs of a remote sensor system. We propose a calculation that permits (i) each hub to recognize when the integration to an exceptionally assigned hub has been lost, and (ii) one or more hubs (that are associated with the uncommon hub after the cut) to discover the event of the cut. The calculation is circulated and non concurrent: each hub needs to correspond with just those hubs that are inside its correspondence range. The calculation is focused around the iterative processing of an imaginary "electrical potential" of the hubs. The union rate of the hidden iterative plan is autonomous of the size and structure of the system. Remote Sensor Networks (Wsns) comprise of a huge number of small hubs having the ability of sensing, calculation, and remote correspondences. Remote sensor system can endure part issue in the system which is known as a cut. So a solitary topology of the system breaks into two or more parts. Here we examine a few slice recognition systems to discover the cuts in WSN.
An Enhanced Lossless Color Filter Array Image Compression Based On Predictive Adaptive Arithmetic Coding
Authors: Varalakshmi L.M. , Sowmiya R.
Published: March 2020

Most consumer digital cameras use a single image light sensor which provides color information using color filter array(CFA).This  provided a mosaic images, in which each pixel position contains only one color component in case of Bayer CFA Pattern. This paper produced a CFA hierarchical prediction scheme based on context adaptive coding. In CFA hierarchical scheme, the green pixels were subdivided into two sets .  was encoded by a gray scale conventional method and  was  predicted based on . The red pixels were predicted using both the sets of green pixels and blue pixels were predicted using red and green. The predictors were designed based on direction of the edges in the neighborhood. Using the prediction information, the magnitude of prediction error was also determined and context adaptive arithmetic coding was applied to reduce bits. The simulated results on CFA images showed that the proposed method gives less bits per pixel than the recently developed CFA compression algorithms.
Reliability and Availability Analysis of Arepairable System With Two Types of Failure
Authors: El-Damcese M. A. , Shama M. S.
Published: March 2020

This paper investigates reliability and availability of a repairable system with two types of failure. Let failure rate and repair rate of [type1, type2] components are assumed to be exponentially distributed. The expressions of availability and reliability characteristics such as the system reliability and the mean time to failure are derived. We used several cases to analyze graphically the effect of various system parameters on the reliability system and availability system.
The Fallacy of Zero Inventories for Purchased Parts in Small Manufacturing and Job Shops
Authors: E. Mueller William , H. Massiha Gholam , Dupuy Corinne
Published: March 2020

In this article we examine the soundness of receiving most vendor shipments just prior to the time of use and then immediately delivering them from the receiving area to the point of use by some small US manufacturing industry. This approach in theory would save handling cost, storage cost, and inventory holding cost, the real world offers numerous pitfalls, especially for smaller manufacturers and job shops.
Resistivity Studies On Mn Site Substituted LCMSO Manganites
Authors: R. Kataria Bharat , Savaliya Chirag , Markna J. H.
Published: March 2020

Effect of Mn-site disorder in La0.67Ca0.33Mn1-xSbxO3 (LCMSO) created by the substitution of Sb5+ at Mn-site is studied through X-ray diffraction (XRD) and temperature dependent resistivity measurements to identify the role of size mismatch at Mn-site and their resistivity property correlations. XRD patterns collected at room temperature for all the LCMSO samples reveal single phasic nature without any detectable impurities within the measurement range studied. XRD data shows that all the samples possess orthorhombic structure without any structural phase transition. Variation in resistivity with Sb5+ content has been discussed in detail in the context of modifications in the structural and magnetic lattices and structural disorder.
Dynamic Mood Detection in Chat Application Using Text Pattern Analysis
Authors: M Dheepthi , Hemalatha M.
Published: March 2020

In modern communication and social networking the peoples of different ages are of different moods while chatting. This paper deals with detecting the modes and identifying human emotions through text mining. This paper explored to detect the mood variation of different age group that swings is maximum as compared to other age group. The moods can be classified in the basis of gender, age group and the emotion while texting. The random sample is taken from public chat in that the users are manually classified for strength of positive and negative emotions. By classifying emotions and using decision tree different variations are analyzed in this paper. Outlier study is used to recognize emotion distinction in child having any kind of disability. The pattern of the text is analysed and clustered and with the help of Besiyan classifier the text is classified in accordance with their emotions.
Multiloop and Prediction Based Controller Design for Sugarcane Crushing Mill Process
Authors: Kumar Sunori Sandeep , Juneja Pradeep Kumar , Bhatia Jain Anamika
Published: March 2020

In the present work a sugarcane crushing mill is presented as a MIMO system with high multivariable interaction.A linear model of the plant is taken with flap position and turbine speed as manipulated variables and mill torque and buffer chute height as controlled variables.The multiloop PI controller has been designed for this plant by first investigating the RGA and the value of Niederlinski index of this plant.The decoupling of this system is done and the respective open loop and closed loop step responses are observed and compared with those of the composite MIMO system. Also the performance of multiloop controller is compared with controller designed using model predictive control system strategy for this plant.
Comparison of Various Levels of Parallel Multilevel Active Filter Using NPC Multilevel Inverter
Authors: Hadj Benali Farouk , Azzouz Fouad
Published: March 2020

This paper puts forward the technique of reference signal generation of the reactive instantaneous power and the technique of the SPWM control signal generation of the multilevel active filter.  A comparison between the source currents before and after filtering is made. Then a comparison between the different source currents of different multilevel active filters. The subjects of comparison are the total harmonic distortions (THD) of the source current. The obtained simulation results have proved that the filtering quality is improved when increasing the active filter levels. Simulations are carried out by PSIM program.
A Study on Big Data Techniques and Applications
Authors: Radha K. , Rao B. Thirumala
Published: March 2020

We are living in on-Demand Digital Universe with data spread by users and organizations at a very high rate. This data is categorized as Big Data because of its Variety, Velocity, Veracity and Volume. This data is again classified into unstructured, semi-structured and structured. Large datasets require special processing systems; it is a unique challenge for academicians and researchers. Map Reduce jobs use efficient data processing techniques which are applied in every phases of Map Reduce such as Mapping, Combining, Shuffling, Indexing, Grouping and Reducing. Big Data has essential characteristics as follows Variety, Volume and Velocity, Viscosity, Virality. Big Data is one of the current and future research frontiers. In many areas Big Data is changed such as public administration, scientific research, business, The Financial Services Industry, Automotive Industry, Supply Chain, Logistics, and Industrial Engineering, Retail, Entertainment, etc. Other Big Data applications are exist in atmospheric science, astronomy, medicine, biologic, biogeochemistry, genomics and interdisciplinary and complex researches.  This paper is presents the Essential Characteristics of Big Data Applications and State of-the-art tools and techniques to handle data-intensive applications and also building index for web pages available online and see how Map and Reduce functions can be executed by considering input as a set of documents.

 
Study on End-wall Slope Stability of Surface Coal Mine under the Condition of Combined Open-pit Mining with Underground Mining
Authors: Hongge Peng , Qingxiang Cai , Wei Zhou , Jisen Shu
Published: March 2020

With the deepening of surface coal mine, the application of combined surface mining with underground mining is increased now. According to the influence analysis of underground mining on surface coal mine end-wall slope, the thin plate model of mined slope was proposed with distortion and stress distribution of the girder studied. Considering the practice of combined surface mining with underground mining, the modified method was put forward. Based on the roof breaking law of mined slope, the minimum width of protecting coal pillar was elicited. Subsequently this paper took the combined mining practice of Anjialing surface mine as example to study the subsidence law of roof and the influence of underground mining to surface mine slope. The research conclusion indicates that under the condition of combined mining the deformation and subsidence of overlying strata are obvious with a clear lag time, and the ceiling distortion evokes distortion of mined slope, which can be used as the theory sustainment to stabilization of mined slope under combined surface mining with underground mining.
Proximate Composition of Some Selected Browse Plants in Gombi Local Government Area, Adamawa State, Nigeria
Authors: Mojaba D.I. , Khobe D. , Nelson E
Published: March 2020

Twelve (12) indigenous browse plants harvested from four districts of Gombi Local Government, Adamawa State were evaluated for their proximate composition. The samples were randomly collected in the study and identified at the Forestry Department, Ministry of Agriculture, Adamawa State. The proximate composition of the collected samples was carried out at the Animal production Nutrition Laboratory of Adamawa University, Mubi. Parameters measured include dry matter (DM), crude fibre (CF), crude protein (CP), Ash (minerals). Nitrogen free extract (NFE) and ether extract (EE). Results obtained showed that DM ranged from 55.5%-80%, CF (23-68%), CP (7.88-19.25%), NFE (22.25-69.97%), EE (3.0-6.0%) and Ash (6.0-12.00%). The data obtained were used to determine the suitability of the browse plants species for ruminant animal production. Results revealed that nutrient contents in plant samples vary in composition.
Polyhouse Agricultural Marketing System Using Big Data Hadoop
Authors: Bhandralia Ayesha , Arya Resham , Panda S. N. , Ahuja Sachin
Published: March 2020

Agriculture is to cultivate and produce crops and livestock products. Agriculture in its associated sectors is unquestionably the largest livelihood provider, in the broad areas of rural India. With the emergence of high tech agriculture farming known as Polyhouse farming came into existence. Polyhouse farming is an alternative new technique which reduces clinging on to natural procedures that are very basic needs of agriculture i.e. rainfall, temperature, humidity and geographical conditions and this result in the most advantageous use of water and land resources. Polyhouse advances to create suitable microclimates, which favour the crop production by simulation of artificial environment using latest computer assisted technology. Yet polyhouse product marketing is an uncovered area which is still neglected and there is a strong need to for an effective marketing intervention or channelization. The liberalized trade environment in general has added another dimension to the poverty of farmers and uncertainty about the future. The paper describes the long established approach of marketing concept of polyhouse agriculture. The relationship between development, marketing and accessibility in polyhouse agriculture is reviewed. We have detected various inadequate parameters, and recognized the need of an effective polyhouse marketing system which may have beneficial impact on farmers.
Graphical Password Using Captcha
Authors: Sekhar Reddy Y.Chandra , Rao M.Venkateswara , Rao M. Kameswara , Kumar C.V. Phaneendra , Sai A. Anil
Published: March 2020

In this 21st century one of the main issue to tackle was Cyber Security attack. We have numerous authentication processes like two key factor passwords, graphical passwords and many other. Text based passwords are prone to many attacks like dictionary attacks. In this paper, we have implemented a new authentication method namely; a family of graphical passwords built on Captcha technology. As graphical password addresses many security problems like online guessing attacks, relay attacks etc. Captcha is used to distinguish humans and bots. So, we use images with captcha’s as one of the authentication step along with normal alpha-numeric password. It also overcome the problems of pass points in graphical password systems.
The Combined Reproducing Kernel Method and Taylor Series for Solving Weakly Singular Fredholm Integral Equations
Authors: Alvandi Azizallah , Paripour Mahmoud
Published: March 2020

In this paper, a numerical method is proposed for solving weakly singular Fredholm integral equations in Hilbert reproducing kernel space (RKHS). The Taylor series is used to remove singularity and reproducing kernel function are used as a basis. The effectiveness and stability of the numerical scheme is illustrated through two numerical examples.
Opinion Sentiment Analysis
Authors: Kumar Alok , Jain Renu
Published: March 2020

An automatic system to analyze the opinions/feedbacks of the people working in any organization is proposed. The proposed system does two major jobs: the first part extracts the most relevant/important aspects from the textual feedbacks provided by clients/managers/co-workers for all the employees having similar job profile and the second part measures the degree of positivity or negativity for all the extracted aspects for every employee and then an overall performance of everyone is evaluated. We have implemented the system to study the feedback of teachers. The proposed system is flexible and versatile than the existing feedback evaluation system of teachers where students evaluate the teachers on the predefined aspects decided by experienced and senior teachers. Our system, Faculty Evaluation System (FES) identifies strengths and weaknesses of teachers on all aspects which are important to students. This information may be used by higher authorities of the institute in identifying suitable faculty members for different academic and administrative activities of the institute in addition to the teaching responsibility.
IoT Based Wind/Solar Hybird Inverter
Authors: Kumar S. Ajeeth , G. Shabarish , Kannan A. Kishore
Published: March 2020

Paper deals with power control of a wind and solar hybrid generation system for connection operation with electric distribution system. Power control strategy is to extract the maximum energy available from varying condition of wind speed and solar irradiance while maintaining power quality at a safety level. In order to verify the maximum power variable speed control is come for wind turbine and maximum power is applied for PV system.  Inverter transfers the energy from the wind turbine and PV array into the grid by keeping common dc voltage constant. To ensure safety these inverters automatically shut down in the event of: High/Low AC-voltage; High/Low frequency; IOT is a key feature in which safety measurement is current and voltage.  The results show the control performance and  behavior of the wind/PV system .solar and wind are major possible ways were energy level are stored  in  battery, we implement to ensure that power transmission ways in hybrid pv/wind power are stored properly in batteries. Our aim is to monitor the current and voltage by means of IOT. The wave distribution of voltage and current is checked rapidly by using IOT. Non regular checking of voltage and current leads to total damage. And so we ensure that damage are monitored over IOT, variable power raise and drop are checked over by IOT. PV and wind  power.
Medical Documentation Practice of Health Professionals and Attitude towards it at University of Gondar Hospital, Gondar, North West Ethiopia
Authors: Belay Adinew , Rao Y. Narasimha
Published: March 2020

Medical documentation is believed as pertinent facts of medicalcare plan. It is a warehouse for patient’s information and interaction with theircaregivers in particular. However, there are lack of completeness, consistency,proper recoding and other constraints regarding the current medical recordpractice. The main objective of this study was to assess the current medicaldocumentation practice of health professionals and attitude towards it atUniversity of Gondar Hospital, Gondar, North West Ethiopia, 2016.

Institution based cross sectional quantitative study was conductedfrom March 15 to April 30, 2016 at University of Gondar Hospital. About 260health professionals who work in different wards were participated. Data werecollected using structured self-administered questionnaires of professionals andreviewed their recorded medical documentation (chart). Logistic regressions;both bi-variable and multi-variable logistic regressions analyses models werefitted. The odds ratio with 95 % CI was computed and these variables which havea (p-value < 0.05) in the multi-variable logistic regression analysis model weretaken as statistically significant and interpreted accordingly. Good medical documentation practice by health professionals was 45.4

% (n=118). Documentation for all patients using documentation standard toolswith AOR=1.799(95%CI [1.065, 3.040]), working area with AOR=2.522(95%CI[1.264, 5.033]), and favourable attitude towards medical documentation withadjusted OR=1.182(95% CI [1.039, 3.169]) were significantly associated withgood medical documentation practice.Medical documentation practice at University of Gondar Hospital was found low.Documentation using standard tools, working area (setting) and attitude ofprofessionals were important factors associated with medical documentationpractice. Organizational support needs to be strengthening, ensure procedure,format and documentation type (including documentation tools and forms); etcneeds emphasis to improve documentation practice.
Heavy Metal Uptake of Corn Irrigated with Human Urine
Authors: Factura Horacio Sabejon
Published: March 2020

Pit latrine (PL) is one of the most common disposal systems for human excreta in low-income countries but because it is a hole in the ground, infiltration of liquid effluent into the soil can continuously occur. Poor sanitation systems permit the spread of heavy metals in urine to water bodies especially the groundwater. This study investigated the accumulation of heavy metals in shoots of corn plants irrigated with urine. A pot experiment with corn was conducted under greenhouse conditions. Urine was diluted to 3:1 ratio (water and urine respectively) and was compared to control (water only). Using Inductively Coupled Plasma Optical Emission Spectrometry (ICP-OES), heavy metals such as Boron, Barium, Cobalt, Copper, Iron, Manganese, Nickel, Silicon, Strontium and Zinc were detected in shoots of all plants with contents ranging from 0.22 to 2,487.44 milligram (mg) per kilogram (kg). The higher amounts detected in urine irrigated plants than the control proved the presence of the metals in the urine. Reuse of urine will definitely benefit farmers while at the same time reduce the risk of heavy metal contamination in groundwater.
Design of Robust Load Frequency Controller for Multi-Area Interconnected Power System Using SDO Software
Authors: Gopi Pasala , Reddy P. Linga
Published: March 2020

The response of the load frequency control problem in multi-area interconnected electrical power system is much more complex with increasing size, changing structure and increasing load.  This paper deals with Load Frequency Control of three area interconnected Power system incorporating Reheat, Non-reheat and Reheat turbines in all areas respectively.  The response of the load frequency control problem in a multi-area interconnected power system is improved by designing PID controller using different tuning techniques and proved that the PID controller which was designed by Simulink Design Optimization (SDO) Software gives the superior performance than other controllers for step perturbations. Finally the robustness of controller was checked against system parameter variations..
MTKD: An Algorithm for Multi-Tier Key Distribution for Securing Group Communication in WSN
Authors: H S Annapurna , Siddappa M.
Published: March 2020

Security is one of the inherent challenges in the area of wireless sensor network. At present, majoroty of the security algorithm are incorporated with massive iterations of cryptography as well as complex mathematical modelling that result in degradation of quality of service. The present paper takes the case study of group communication in wireless sensor network and introduces a significant protocol that assist in generation of joint key with an aid of unique and lightweight cryptography. The outcome of the study was compared with the most significant and standard work of group communication to find that proposed system is in adherence of time and space complexity.
Modelling of e-Governance Framework for Mining Knowledge from Massive Grievance Redressal Data
Authors: G Sangeetha , Rao L. Manjunatha
Published: March 2020

With the massive proliferation of online applications for the citizens with abundant resources, there is a tremendous hike in usage of e-governance platforms. Right from entrepreneur, players, politicians, students, or anyone who are highly depending on web-based grievance redressal networking sites, which generates loads of massive grievance data that are not only challenging but also highly impossible to understand. The prime reason behind this is grievance data is massive in size and they are highly unstructured. Because of this fact, the proposed system attempts to understand the possibility of performing knowledge discovery process from grievance Data using conventional data mining algorithms. Designed in Java considering massive number of online e-governance framework from civilian’s grievance discussion forums, the proposed system evaluates the effectiveness of performing datamining for Big data.
Phase Sequence Online Correction Based on PIC Technique
Authors: Mubdir Bilal A. , Amin Dara H.
Published: March 2020

Monitoring the delivered power quality (PQ) to a critical load, is a worry issue since it is matter as much as critical or quality sensitive equipment connected to the electrical network. Various PQ problems such as noise, voltage imbalance, waveform distortion, phase imbalance, phase sequence, over voltage or sag are the most popular quality problems that could be detected and fixed if needed. The present work presents a design and practical implementation of electronic embedded system to monitoring the sequence of a three phase electrical system and detects the occurrence of any change in the sequence and fixes it online, correct the phase sequence immediately during less than 70 milli-seconds. PIC Microchip microcontroller has been used as the core of the present system, where the correction of the phases has been achieved by using traditional electromechanical relays. The system has been tested successfully and it functions properly even with multiple sequence changes.
Review on Recent Advances in Titanium Dye Oxide Nanoparticles for Dye Sensitized Solar Cell Applications
Authors: Chandran Divya
Published: March 2020

Alternate energy source becomes a crucial for green energy solution against ever increasing demand. Dye Sensitized solar cell is another promising option toward green energy providing opportunity to explore natural dye extracts from plants. This review explores recent developments in the field of Dye Sensitized solar cell technology specifically with sensitizer synthesized from plants which are also found in India. Anthocyanin, betalain, chlorophyll and carotenoids are among the most common plant pigments explored as sensitizers. The review of different attempts on fabrication of natural dye based solar cells implies that titanium dioxide (TiO2) nano particles can be used as photoanode, platinum (Pt) as counter electrode and iodine/iodide electrolyte. Plant pigments are highly pH sensitive and can alter solar cell performance based on its extraction method, concentration and its ability to anchor with photoanode. Stability of dye, absorption in near IR range and leakage of liquid electrolyte are few of the challenges ahead. However, natural dye is biodegradable and non-toxic having most of the extraction process harmless to environment. In addition, natural dye has the promising future as it is abundant. 
Optimum Design of GA-BF Algorithm Based PID Controller for the Solar System
Authors: Mallika S. , Saravanakumarf R.
Published: March 2020

This paper presents a new approach based on the genetic algorithm (GA) and Bacterial Foraging (BF) is used to perform a constrained tuning technique for the PID parameters to optimize the power output of solar panel. A small-signal model is used to design the controller parameters of the conventional PID controller. The dynamics of the converter is non linear, therefore, it is hard to derive desirable performance. So hybrid algorithm is used to optimize the control parameters of boost converter. In order to obtain the fitness of an individual, Simulink model of the boost converter is designed and the hybrid algorithm is programmed to design the optimal control parameters. It was found that the proposed optimal PID controller parameters adjustment by the GA-BF algorithm is superior to the conventional method. The Matlab/Simulink was used to verify the effectiveness of proposed control method.
A CFD Study with Fuzzy Logic Pitch Angle Turbine Control Implementation for OWC Generation System
Authors: Madaci Mansour , Kerdoun Djallel
Published: March 2020

The paper takes the improvement of the performance for an OWC converter from the mechanical side. A FEM model of the OWC conversion structure was proposed, studied and simulated using a CFD simulator. A novel wave generation method was applied through the RWMD method (Real Wave Model Simulator) instead of using an ordinary sin wave generator on the tank to make the waves the closest possible to the real sea waves. A mechanical prototype was built for this purpose to get an oscillated wave model. On the electrical side, a pitch angle control system based on fuzzy set was applied on the turbine to be auto-adapted for the fast variation of the airflow speed to establish and maximize the extracted power from the OWC device. The model have been studied, simulated, implemented and tested to validate the obtained results.
Analytical Comparision between Single and Modular Fuel Cell Stack: Uniform Modular Cell Approch
Authors: Naik Megavath Venkatesh , Samuel Paulson
Published: March 2020

A single fuel cell (FC) produces a very small voltage of about 0.6 -0.8 V under normal operating condition, and hence several individual cells are connected in series as a stack to get higher voltages suitable for practical loads. The stacks are then connected in series to get required values of DC voltage. The FC performance varies with the operating parameters such as temperature, humidity, fuel flow rate, ageing and fuel non uniform concentration. The FC stack underperforms when there is presence of bad cell in it. The Presence bad cell in a stack limits the current handling capacity of other healthy cells when it’s connected as a conventional single stack. This can be overcome by connecting the fuel cells in uniform modular cell configuration. In this paper a Uniform Modular Cell Configuration (UMCC) is proposed to gain the maximum power from the stack and the conventional Single or Uni Stack Configuration (USC) is compared with the proposed structure. A detail mathematical analysis of comparing both methods is described. Further the superiority of the proposed method is proven by carrirying out the simulations under steady state operating condition of a FC stack feeding to a constant current load.
Hybrid Photovoltaic and Wind Power System with Battery Management System using Fuzzy Logic Controller
Authors: Venkateshkumar M. , Raghavan R.
Published: March 2020

In recent year, the development of hybrid renewable energy sources has the important role of power generation. This paper focused on  design of hybrid PV / Wind power system and its battery management system. The fuzzy logic control based battery management system has been designed for effective power utilization. The proposed control to operate the battery charging and discharging mode during non-linear power generation. The battery will charge whenever the renewable energy power is greater than to consumer load power as well as the battery will discharge whenever the renewable energy power is lesser than to consumer load power. The proposed model will be simulated using Matlab environment and analysis the proposed system results. Finally, simulation results are evaluated and validating the effectiveness of the proposed controller.
Review of Machine Vision Based Insulator Inspection Systems for Overhead Power Distribution System
Authors: Prasad P. Surya , Rao B. Prabhakara
Published: March 2020

The necessity to have reliable and quality power distribution is increasing, and hence there is great scope for research on automation of distribution system. There are signs of increased research in the work on condition monitoring of insulators during the last few decades. The possible failures can be predicted before they actually occur by using the condition monitoring of cables or any electrical equipment on-line. Those assets such as towers, conductors and insulators which are on the threshold of failure have to be replaced or repaired, so that forced outages reduce. Traditionally the workers who inspect these lines check them in close proximity by going for foot-patrolling and pole-climbing. With an incredible expansion of power distribution network even to remote areas, previously mentioned methods do not seem to be viable. In developed countries aerial patrolling has been adopted to monitor the insulators as an alternative. The development of an efficient method of condition monitoring by using image processing followed by machine learning techniques is found to be a suitable method and thus emerging as a feasible option for real-time implementation. This review paper covers overall aspects of automatic detection of defects of insulator systems of electric power lines and classification into different classes by using vision-based techniques.
An Open Source Contact-Free Palm Vein Recognition System
Authors: Kumar M Ranjith , G Deepika G , Krishnan Meenakshi , B Karthikeyan
Published: March 2020

In this document, we propose a novel palm vein recognition system using open source hardware and software. We have developed an alternative preprocessing and feature extraction technique. The proposed system is built on Raspberry Pi using OpenCV 2.4.12. The palm vein image is cropped to Region of Interest(ROI) to reduce the computational time in real time systems and then preprocessed to enhance the vein pattern visibility and to extract more number of key points using SIFT algorithm. Then the descriptors are stored in a dictionary like codebook file during training. Later the descriptors are tested with unknown patterns. The clustering is based on K-means algorithm and classification is done using Support Vector Machines (SVM).
Fault Identification in Sub-Station by Using Neuro-Fuzzy Technique
Authors: Yadav Anirudh , Harit Vinay Kumar
Published: March 2020

Fault identification and its diagnosis is an important issue in present scenario of power system, as huge amount of electric power is utilized. Random types of faults occur in substation, which leads to irregular and discontinue supply of power from generating to consumer point. Fault detection is an important concept of power system which is to be studied and new method has to develop for fault detection and removal of it. This paper proposed on-line fault detection and identification of fault-type by using Neuro-Fuzzy method in substation. Combination of Artificial Neural Network (ANN) and Fuzzy Logic (FL), results in gaining learning capabilities of fuzzy logic. Variation of current according to fault is used for identification. Fuzzy controller display output condition in form of (0,1).Here, single line-to ground (LG) fault, line-to-line (LL) fault, double line-to ground (LLG)/ LLL fault are considered.
Advances in Application of Fuzzy sets in electrical engineering
Authors: Jain Aditya , Tripathy Balakrushna
Published: March 2020

Initially a theory, today fuzzy logic has become an operational technique. Used alongside other advanced control techniques, it is making a discrete but appreciated appearance in various electric systems. In the majority of present-day applications, fuzzy logic allows many kinds of designer and operator qualitative knowledge in electrical automation to be taken into account. Fuzzy logic began to interest the media at the beginning of the nineties. The numerous applications in electrical and electronic household appliances, particularly in Japan, were mainly responsible for such interest. Washing machines not requiring adjustment, camcorders with Steadyshot (TM) image stabilization and many other innovations brought the term “fuzzy logic” to the attention of a wide public.
Feature Selection Using Evolutionary Functional Link Neural Network for Classification
Authors: Sahu Amaresh , Pattnaik Sabyasachi
Published: March 2020

Computational time is high for Multilayer perceptron (MLP) trained with back propagation learning algorithm (BP) also the complexity of the network increases with the number of layers and number of nodes in layers. In contrast to MLP, functional link artificial neural network (FLANN) has less architectural complexity, easier to train, and gives better result in the classification problems. The paper proposed an evolutionary functional link artificial neural network (EFLANN) using genetic algorithm (GA) by eliminating features having little or no predictive information. Particle swarm optimization (PSO) is used as learning tool for solving the problem of classification in data mining.  EFLANN overcomes the non-linearity nature of problems by using the functionally expanded selected features, which is commonly encountered in single layer neural networks. The model is empirically compared to MLP, FLANN gradient descent learning algorithm, Radial Basis Function (RBF) and Hybrid Functional Link Neural Network (HFLANN) . The results proved that the proposed model outperforms the other models.
Classification of Content based Medical Image Retrieval Using Texture and Shape feature with Neural Network
Authors: Maniar Sweety , Shah Jagdish S.
Published: March 2020

Medical image classification and retrieval systems have been finding extensive use in the areas of image classification according to imaging modalities, body part and diseases. One of the major challenges in the medical classification is the large size images leading to a large number of extracted features which is a burden for the classification algorithm and the resources. In this paper, a novel approach for automatic classification of fundus images is proposed. The method uses image and data pre-processing techniques to improve the performance of machine learning classifiers. Some predominant image mining algorithms such as Classification, Regression Tree (CART), Neural Network, Naive Bayes (NB), Decision Tree (DT) K-Nearest Neighbor. The performance of MCBIR systems using texture and shape features efficient. . The possible outcomes of a two class prediction be represented as True positive (TP), True negative (TN), False Positive (FP) and False Negative (FN).
Software System Package Dependencies and Visualization of Internal Structure
Authors: Alrababah Ahmad Abdul Qadir
Published: March 2020

This manuscript discusses the visualization methods of software systems architecture with composition of reverse engineering tools and restoration of software systems architecture. The visualization methods and analysis of dependencies in software packages are written in Java. To use this performance graphit needs to describe the relationships between classes inside the analyzed packages and between classes of different packages. In the manuscript also described the possibility of tools to provide the infrastructure for subsequent detection and error correction design in software systems and its refactoring.
Data Partitioning in Mongo DB with Cloud
Authors: Jumle Aakanksha , Ahirrao Swati
Published: March 2020

Cloud computing offers various and useful services like IAAS, PAAS SAAS for deploying the applications at low cost. Making it available anytime anywhere with the expectation to be it scalable and consistent. One of the technique to improve the scalability is Data partitioning. The alive techniques which are used are not that capable to track the data access pattern. This paper implements the scalable workload-driven technique for polishing the scalability of web applications. The experiments are carried out over cloud using NoSQL data store MongoDB to scale out. This approach offers low response time, high throughput and less number of distributed transaction. The results of partitioning technique is conducted and evaluated using TPC-C benchmark.
Optimal Bidding and Generation Scheduling of Utilities Participating in Single Side Auction Markets Including Ancillary Services
Authors: Rampriya B.
Published: March 2020

This paper presents the solution for the supplier’s profit maximization problem with unit commitment decisions participating in single side auction markets of a deregulated power system. The bids from market participants are received by a central pool mechanism and the Market Clearing Price (MCP) for energy and spinning reserve is fixed. The bid quantities are optimized using Differential Evolution (DE) algorithm. The supplier aims to achieve (more) profit than that of the rival’s participating in the competition. A GENCO with 6-unit participating in 24-hour day ahead energy and spinning reserve market is used to illustrate the methodology. The bidding parameters of rival’s participating in the competition are calculated by multi-variant Probability Density Functions (PDF). The results of the proposed methodology are compared with Refined Genetic Algorithm (RGA). Numerical results illustrate the effectiveness of the method in solving the supplier profit maximization problem.
Review: Dual Band Microstrip Antennas for Wireless Applications
Authors: Bajpai Rakesh Kumar , Paulus Rajeev , Singh Ashish , Aneesh Mohammad
Published: March 2020

In this manuscript, a review of dual band microstrip antennas for wireless communication is presented. This review manuscript discusses regarding the geometric structures, different methods of analysis for antenna characteristics, and different types of wireless applications.
Cost Allocation of Reactive Power Using Matrix Methodology in Transmission Network
Authors: Gupta Gaurav , Dubey Manisha , Ayra Anoop
Published: March 2020

In the deregulated market environment as generation, transmission and distribution are separate entities; reactive power flow in transmission lines is a question of great importance. Due to inductive load characteristic, reactive power is inherently flowing in transmission line. Hence under restructured market this reactive power allocation is necessary. In this work authors presents a power flow tracing based allocation method for reactive power to loads. MVAr-mile method is used for allocation of reactive power cost. A sample 6 bus and IEEE 14 bus system is used for showing the feasibility of developed method.
Design of an IOT Based Online Monitoring Digital Stethoscope
Authors: Reddy B. Revanth , Marjorie S. Roji , Ramakrishna P.
Published: March 2020

Acoustic stethoscopes have low sound levels. Digital stethoscope overcomes this issue by amplifying body sounds electronically. As the sound signals are transmitted electronically, it can be wireless and can provide noise reduction. Acoustic stethoscope can be changed into a digital stethoscope by inserting an electric capacity microphone onto its head. Heart sounds received from the microphone are processed, sampled and sound signals are converted analog to digital and sent wirelessly using the Internet of Things(IOT) techniques, so that multiple doctors can do auscultation and monitor conditions of the patient.
Angular Symmetric Axis Constellation Model for off-line Odia Handwritten Characters Recognition
Authors: Jena Pyari Mohan , Nayak Soumya Ranjan
Published: March 2020

Optical character recognition is one of the emerging research topics in the field of image processing, and it has extensive area of application in pattern recognition. Odia handwritten script is the most research concern area because it has eldest and most likable language in the state of odisha, India. Odia character is a usually handwritten, which was generally occupied by scanner into machine readable form. In this regard several recognition technique have been evolved for variance kind of languages but writing pattern of odia character is just like as curve appearance; Hence it is more difficult for recognition. In this article we have presented the novel approach for Odia character recognition based on the different angle based symmetric axis feature extraction technique which gives high accuracy of recognition pattern. This empirical model generates a unique angle based boundary points on every skeletonised character images. These points are interconnected with each other in order to extract row and column symmetry axis. We extracted feature matrix having mean distance of row, mean angle of row, mean distance of column and mean angle of column from centre of the image to midpoint of the symmetric axis respectively. The system uses a 10 fold validation to the random forest (RF) classifier and SVM for feature matrix. We have considered the standard database on 200 images having each of 47 Odia character and 10 Odia numeric for simulation. As we have noted outcome of simulation of SVM and RF yields 96.3% and 98.2% accuracy rate on NIT Rourkela Odia character database and 88.9% and 93.6% from ISI Kolkata Odia numerical database.
An Intuitionistic Fuzzy Sets Implementation for Key Distribution in Hybrid Message Encryption Over Wsns
Authors: Wazery Y .M. , Ali Mona A. S.
Published: March 2020

WSN is a way of handling dangerous and hostile environments safely. It replaces human existence with nodes and units that could sustain its existence under extreme circumstances. The significance of WSN arises from the importance of the data gathered through its nodes. Due to the fact of WSN that it is open air environment, security issues must be considered, for example authentication of new units and the encryption of data transmitted between these units. This research provides a new model covering two important aspects in WSN. The first aspect is the creation of the key that will be used for the current session between a pair of nodes. In this step the research introduces the intuitionistic fuzzy sets to handle the WSN criteria simultaneously and efficiently, in order to decide the exact key length required depending on the status of the network parameters. The second aspect is the distribution of the key between the units desiring communications. This phase starts by authenticating each entity to each other and to the cluster head, then one unit suggests a key and the other one confirms. It then starts communication using that key. This phase shows the hybrid cryptography applied in which the algorithm uses asymmetric encryption for authentication then uses symmetric encryption to secure the connection between the two units. Experimental results in this research could categorized also into two classes. The first class is key size model in which the proposed model compared to ordinary KNN and fuzzy model related to the determination of the key size. The proposed model shows an overall efficient way relating to decide the key size. The second class of experiments is to distribute the intermediate key efficiently; at this point the proposed model shows resilience and efficiency compared to distributing the key directly through cluster head.