bluuebunny/crossref_metadata_2025 huggingface dataset:
Skin Cancer Diagnosis using Ostu Thresholding with and Without Bat Algorithm
Authors:   Research Scholar , Desh Bhagat University , Mandi Gobindgarh,Punjab , India, Sodhi Gurinder Kaur , Chatterji S. ,   Retired Professor and Head Electrical Engineering Department , NITTTR , Chandigarh , India, Sharma Kamal Kant ,   Associate professor , Electrical Engineering Department , Chandigarh University, Gharaun , India
Published: May 2020

Nowadays , Cancer diseases is becoming a house hold name but science has exponentially manifold to fight against the deadly disease. Even though ;many cancer diseases are still untouched or not followed properly clinically detected at early stages and lead to incurable disease ,one of the cancer disease termed as Skin Cancer . The main concern is early detection so that it should not be spread to other parts of the body and patient fails to recover . This is not detectable if it’s not known to patient and not informed to concerned doctor at a right time . This manuscript discusses and explains in detail the thresholding technique used for segmentation of the image with and without optimized BAT algorithm.The results have been compared with various already known parameters i.e . Peak Signal to Noise Ratio (PSNR ) , Mean square error (MSE ) and Rand Index (RI) and validated with prior art . Evaluation of Ostu thresholding and Ostu thresholding with BAT algorithm have been compared and analysis has been presented with optimum results have been obtained by applying Ostu thresholding with BAT algorithm as compared with Ostu thresholding algorithm considering various essential parameters
Deep Learning Model to Analyze Customer’s Satisfaction
Authors:   SIM team of MISC LaboratoryFaculty of Science, University IBN TOFAIL, Kenitra, Morocco, Smail Bouzakraoui Moulay , Abdelalim Sadiq ,   SIM team of MISC Laboratory Faculty of Science, University IBN TOFAIL, Kenitra, Morocco, Abdessamad Youssfi Alaoui ,   IRDA Team, ADMIR Laboratory, Rabat IT Center, ENSIAS, Mohammed V University, Rabat, Morocco,
Published: May 2020

Nowadays, measuring customer satisfaction is an important strategic tool for companies; many manual methods exist to measure customer’s satisfaction. However, the results have not effective and efficient. In this paper, we propose a new method for facial emotion detection to recognize customer’s satisfaction using a deep learning model. We used a convolutional neural network to detect facial key points. These key points help us to extract geometric features from customer’s emotional faces. Indeed, we computed distances between neutral face and negative or positive feedback. After that, we classified these distances by using Support Vector Machine (SVM), KNN, Random Forest, and Decision Tree. To evaluate the performance of our approach, we tested our algorithm by using FACEDB and JAFFE datasets. We found that SVM is the most performant classifier. We obtained 96% as accuracy by using FACEDB dataset and 95% by using JAFFE dataset.
A Novel Low Power 8 Bit Binary Weighted Charge Steering DAC with Integrated Power Supply using CMOS
Authors:   Assistant Professor, GSSSIETW, Mysore, Department Electrical & Electronics., N Bharathesh Patel , Devi Manju ,   Professor, TOCE, Bangalore
Published: May 2020

the design and implementation of binary weighted charge steering DAC architectures is discussed in this paper. Charge steering DAC were designed and successfully implemented in CMOS 90nm and 180nm technology. For bigger planning contrasts there is an exchange off between powerful number of bits, and equipment cost and basic way. Taking everything into account, an 8 piece two fold weighted accuse directing DAC of coordinated force supply was effectively planned in 90 and 180nm CMOS innovation utilizing Cadence apparatuses. As indicated by the reproduction results, the proposed DAC is exceptionally straight with the most pessimistic scenario DNL of 0.99LSB and INL of 0.008LSB, and furthermore has low force utilization esteem 96.36mW.
Secure Data Communication using Cryptography
Authors:   Assistant Professor in ECE, PVPSIT, Kanuru, Vijayawada, India., Lakshmi Ch.Sri , Roshini Y. ,   ECE student, PVPSIT, Kanuru, Vijayawada, India, Sukanya M. ,   ECE student, PVPSIT, Kanuru, Vijayawada, India, sree M.Hema sai ,   ECE student, PVPSIT, Kanuru, Vijayawada, India, Jyothika S. ,   ECE student, PVPSIT, Kanuru, Vijayawada, India
Published: May 2020

Any type of digital information is called as data. In today's world, precarious data are growing and used in communication over internet. Hence, data security is most important factor for the internet users. The best solution is to use some cryptography algorithms which encrypts data in some cipher and transmit it over the internet and again decrypted to genuine data. Cryptography is eternal. The field of cryptography manages the technique for passing on information safely. The objective is to permit the expected recipients to get the message appropriately while interfere with snoopers from understanding the message. Key arrangement layout allows communicating parties to establish a mutual cipher key. The situation of present day of data security framework incorporates secrecy, legitimacy, trustworthiness, non-repudiation. This paper introduces a improved system for securing text-data communication benefiting the use of RSA algorithm. It is the public-key cryptosystem and is mainly used for secure data transmission[1].
Design and Empirical Inquisition of Catalytic Combustor for Methanol Steam Reformer in HT PEM Fuel Cell Systems
Authors:   Department of Technology, Savitribai Phule Pune University, Pune, India & Thermax Limited, Pune India., Chougule Abhijeet , Sonde Ramakrishna R. ,   Thermax Limited, Pune, India.
Published: May 2020

Steam reforming of methanol is a basic endothermic reaction. For which, a separate external system is required for generation of heat. The reaction speeds are controlled by operating temperature and heat transfer rate to the reactor. This operating temperature has a very narrow window of operation. It is therefore extremely important to have a system that generates controlled combustion based stable heat for providing required heat to reformer. A design of catalytic combustor was developed and analyzed for methanol steam reformer. The packed bed of combustion catalyst provides active sites for combustion of the methanol water mixture during start-up and later for combustion of anode exhaust gas (AEG) during normal operation. The combustion reactions and their thermodynamics were studied for commercial catalyst. System design was simulated using Engineering Equation Solver (EES) software for determining the quantity of air required for combustion of fuel as well as for dilution of gases to maintain a temperature of 573 K. The design was analyzed using ANSYS DISCOVERY LIVE for understanding the different operating condition(s) inside the combustor. It was also used to generate design of experiments to evaluate, build and demonstrate a catalytic combustor for on-board reformer for HT-PEM fuel cell system.
Smart Grid Self Healing: Function Application Developments
Authors:   Department of Electrical Engineering, Delhi Technological University, Delhi , India, Jethi Sanskar , Bindra Kushagra ,   Department of EEE, SRM Institute of Science and Technology, Kattankulathur, India.
Published: May 2020

The modern Power system is more adaptable and complex than the conventional power system from the unwavering quality perspective it is imperative to recognize and seclude the issue as quick as conceivable from the neighboring zones. This paper proposes creation answer for a brilliant network. Specifically, the principal focal point of this paper is on 3 distinctive creation in particular Line deficiency, Line to ground flaw, Line to line shortcoming. The proposed creation arrangements are approved through MATLAB programming reenactment.
Improvement of Pavement Subgrade Soil using Millet Husk Ash for Rural Roads
Authors:   Assistant Professor, Department of Civil Engineering, Rajkiya Engineering College, Azamgarh, Uttar Pradesh, India, Kumar Anish , Kishor Roop ,   Research Scholar, Department of Civil Engineering, Motilal Nehru National Institute of Technology Allahabad, Uttar Pradesh, India, Nidhi Chaitanya ,   Assistant Professor, Department of Civil Engineering, Rajkiya Engineering College, Azamgarh, Uttar Pradesh, India
Published: May 2020

This paper focuses on the improvement of subgrade soil by using Millet Husk Ash (MHA). MHA is a commonly available material found in a significant quantity as India is the largest producer of millet in the entire world. The MHA was mixed in soil by partially replacing the soil by weight in 0%,2.5%,5%,7.5%,10%,12.5% and 15%. The soil in its natural state was in the form of intermediate plastic clay whose dry density got reduced and the optimum moisture content got increased after stabilization. The CBR and UCS values increased initially but showed a decrease after a certain point. The sudden transition from increasing values to decreasing values marks a peak point showing the optimum content of MHA. The optimum content of the ash was found to be 10%. A significant increase in the values of UCS and CBR was also observed.
Credit Card Fraud Detection and Prevention using Machine Learning
Authors:   Assistant Professor, SRM Institute of Science and Technology, Ramapuram, Tamilnadu, Chennai., Abinayaa S. , Sangeetha H. ,   Assistant Professor, SRM Institute of Science and Technology, Ramapuram, Tamilnadu, Chennai., Karthikeyan R. A. ,   B. Tech, Information Technology, SRM Institute of Science and Technology, Ramapuram, Tamilnadu, Chennai., Sriram K. Saran ,   B. Tech, Information Technology, SRM Institute of Science and Technology, Ramapuram Tamilnadu, Chennai., Piyush D. ,   B. Tech Information Technology, SRM Institute of Science and Technology, Ramapuram Tamilnadu, Chennai.
Published: May 2020

This research focused mainly on detecting credit card fraud in real world. We must collect the credit card data sets initially for qualified data set. Then provide queries on the user's credit card to test the data set. After random forest algorithm classification method using the already evaluated data set and providing current data set[1]. Finally, the accuracy of the results data is optimised. Then the processing of a number of attributes will be implemented, so that affecting fraud detection can be found in viewing the representation of the graphical model. The techniques efficiency is measured based on accuracy, flexibility, and specificity, precision. The results obtained with the use of the Random Forest Algorithm have proved much more effective.
Design and Implementation of Children Safety System using Iot
Authors:   CSE, SRMIST, Chennai, India., Babu S. , Chowdary P. Srivathsava ,   CSE, SRMIST, Chennai, India., Reddy K. Sanjeeth ,   CSE, SRMIST, Chennai, India.
Published: May 2020

At this moment structure for growing youth’s security is proposed. The accentuation is on the consistently course from home to class and the different way, usage of school transports. IOT perspective is manhandled together with different constraint strategies for instance.RFID and GPS, in order to structure a response for gatekeepers prepared to ensure their youth's following the key steps to class or home, for instance by having the educational transport to login school or exit institution again having transport facility. At that moment pertinence radio frequency card advancement powerful after capacities attempted in youths' following and seeing during their excursion to and in institution for institution transports. In course of action analyzed with respect to advancements and building and the essential model is presented. Finally a test arranges is needed to check the correct movement of the system.
Comprehensive Assessment of Imbalanced Data Classification
Authors:   Computer Engineering, Shri Ramdeobaba College of Engineering & Management, Nagpur, Nirkhi Smita , Patil Shashikant ,   , EXTC Department, SVKMs NMIMS Shirpur Campus
Published: May 2020

This is an attempt to address the various challenges opportunities and scope for formulating and designing new procedure in imbalanced classification problem which poses a challenge to a predictive modelling as many of AI ML n DL algorithms which are extensively used for classification are always designed from the perspective of with majority of focus on assuming equal number of examples for a class. It leads to poor efficiency and performance especially in minority class. As Minority class is always very crucial and sensitive to classification errors and also its utmost important in imbalanced classification. This chapter discusses addresses and gives novel as well as deep insights with unequal distribution of classes in training datasets. Largely real time and real world classifications are comprising imbalanced distribution so need specialized techniques for more challenging and sophisticated models with minimal errors and improved performance.
Hand Gesture Recognition for Differently Abled People with Message Integration.
Authors:   Dept. of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India, Kumar G. Prashanth , Reddy G. Vamsi Krishna ,   Dept. of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India
Published: May 2020

The objective of this paper is to utilize a webcam to lively track the region of interest (ROI), in particular, the hand locale, in the picture extend and recognize hand motion, we use skin colour discovery and also morphology to delete the unnecessary background information from the picture, and afterward use foundation subtraction to recognize the ROI. Next, to stay away from foundation effects on items or commotion influencing the ROI, we utilize the kernelized connection channels (KCF) calculation to follow the identified ROI. The picture size of the ROI is at that point resized to 28x28 and afterward sent into the profound convolutional neural system (CNN), so as to distinguish various hand signals. Two profound CNN designs are created right now are altered from DenseNet . At that point, the above procedure of following and acknowledgment is rehashed to accomplish a moment impact, and the framework's execution proceeds until the hand is removed from the camera.
Voice Assistant based Telecommunication System Tele-Bot
Authors:   IT Department, PCCOE, Pune, India, Modak Harshada , Pise Rohini ,   IT Department, PCCOE, Pune, India, More Sayali ,   IT Department, PCCOE, Pune, India, Gupta Rishabh ,   IT Department, PCCOE, Pune, India, Bhagwat Anuja ,   IT Department, PCCOE, Pune, India
Published: May 2020

In this research we are aiming to plan, develop and deploy a model which is based on voice recognition. We trying to inculcate algorithm which are based on machine learning and also using artificial intelligence technology. We are learning the stages of voice recognition technology, depth of its working accuracy, probabilistic use cases, and system friendliness with the help of Python Programming Language. In order to increase the efficiency of system we are going to take response time into consideration which is crucial requirement into current environment. Python is easy to learn, High Level, Power full programming Scripting language. Fully developed voice recognition modules are to be used for development of our research oriented topic.
Severity Level Detection in Retinal Fundus Images for Diabetic Retinopathy
Authors:   Electronics and Communication Engineering, PVP Siddhartha Institute of Technology, Vijayawada, AP, India, Ramanjaneyulu K. , Rasajna K. ,   Electronics and Communication Engineering, PVP Siddhartha Institute of Technology, Vijayawada, AP, India., Reddy A. Jawahar ,   Electronics and Communication Engineering, PVP Siddhartha Institute of Technology, Vijayawada, AP, India., Teja CH.S.N.V. Krishna ,   Electronics and Communication Engineering, PVP Siddhartha Institute of Technology, Vijayawada, AP, India, Teja D. Venkata ,   Electronics and Communication Engineering, PVP Siddhartha Institute of Technology, Vijayawada, AP, India
Published: May 2020

Diabetic Retinopathy is the disease caused for diabetic people which doesn’t have symptoms in the first phase. As it progresses, it becomes symptomatic. This disease, sometimes, might lead to complete blindness. Red lesions contain microaneurysms, haemorrhages and exudates. This work focuses on detection of red lesions in fundus image. Ophthalmologists use pupil dilation of chemical solutions in order to detect the abnormality which takes time and also causes irritation to patients. Image processing techniques are used to avoid these limitations. Morphological operations are used to identify the pixels belonging to the red lesions. Gabor filter is used for separating the blood vessels. Some spots are formed near macular region because blood vessels become leaky which leads to exudates. The severity level of the disease is determined by finding the distance between lesions and macular region. The disease is considered as severe if the distance between them is closer and confirms as less if the distance is far.
Electronic Glove for Troops to Interpret Hand and Arm Gestures in Close Combat Scenario
Authors:   Masters in Electronics and Telecommunication Engineering,Savitribai Phule Pune University, Pune., Pundir Vinod Kumar , Mahajan Rashmi P ,   Masters in VLSI Technology, Kavayitri Bahinabai Chaudhari North Maharashtra University (KBCNMU)., Bhandari Sheetal ,   Post Graduate, Electronics Engineering from University of Pune.
Published: May 2020

In a close combat situation several types of non-verbal communication are available. However these signals have limits of range and reliability, particularly when line of sight is disrupted. This paper proposes the system for troops to interpret hand and arm military gestures applicable in close combat scenario. In the proposed system, signals are transmitted through secured Bluetooth connections and interpreted at the receiver end. k-NN algorithm, Lookup Table (LuT) and Decision Tree algorithm are used to determine the exact classification of the gestures. This paper presents a system keeping only one fellow trooper in picture and reported 94.6 percent accuracy of the military gestures interpretation.
Tamil Character Recognition, Translation and Transliteration System
Authors:   Department of Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India., Prakash M. , Ojha Apoorva ,   Department of Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India., Raman Priyanshu ,   Associate Professor, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India.
Published: May 2020

Optical Character Recognition (OCR) is the machine conversion of handwritten or typed data into machine encoded scripts. English, is the informal link to all the regional languages in India and is used to publish reports, papers, magazines and records. Monolingual systems are incapable of doing so, thus increasing the need of bilingual frameworks. We have created a character recognition system that converts the user’s input in the Tamil language to English. Additionally, we can also perform transliteration of Tamil to English and vice versa. The bilingual OCR system, “MOZHI VALLAAN,” which has an accuracy of 94%, will be used.
Development of Iot based Smart Security and Monitoring Device using Digital Defence for Agriculture
Authors:   Assistant professor, Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India, Kumar K.P. Vijaya , Teja G. Sai ,   Senior Year Undergraduate Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India, Teja P. Akhil ,   Senior Year Undergraduate Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India
Published: May 2020

The agricultural sector, which is the powerhouse of Indian financial system, needs protection. Safety, not only in terms of infrastructure as well as in terms of agricultural commodities, requires assistance and support at a very preliminary stage, such as protection from attacks by rats or pests in farms or seed stores. These problems could also be carefully considered. The convergence of conventional technology with all the latest technologies including the IOT (internet of things) and the Wireless Signal Systems will contribute to ecological modernization. Taking this system in mind, we are investigating a baseband processor on the' Internet of Things' that will be able to analyze the detected knowledge and then communicating it to the client. In our present system, we address the actual obstacle of farmers and the threat of endangered species and pest harm utilizing detectors. In the existing system, many peasants are afraid of pests reaching the fields and absolutely killing the crop. It creates a financial loss for peasants when anticipating a benefit.
Weight Optimization of Bed for Heavy Duty CNC Lathe Machine MGX200 using FEM
Authors:   M.Tech.(CAD/CAM) Mechanical Engineering, Parul Institute of Technology, Parul University, Vadodara, India., Modhavadiya Haresh , Prajapati Rakesh ,   Mechanical engineering, Parul Institute of Technology, Parul University, Vadodara, India., Goyal Bhupesh ,   Mechanical engineering, Parul Institute of Technology, Parul University, Vadodara, India.
Published: May 2020

In this paper, MGX200 CNC Lathe bed selected for the complete static and vibration analysis. The examination work completed to lessen the heaviness of bed without break its basic inflexibility and the precision of the machine instrument by expelling material.In this work, 3D CAD model done by using Autodesk Inventor Professional 2018 Software and analysis carried out in ANSYS 16.2 Software. The outcomes appeared with the assistance of qualities break down the impact of weight decrease on the basic trustworthiness of the machine bed when the weight decrease then decisions about the enhanced structure.
Solar Pond Performance Enhances Nonconventional Water Resource Availability
Authors:   Associate Researcher, National water research center, Cairo, Egypt, Nower Mohamed , Elashaal Ashraf ,   professor Emeritus, National water research center, Cairo, Egypt, S. El-serafy ,   Professor and head of the hydraulics and engineering department of Ain Shams University, Cairo, Egypt.
Published: May 2020

In the context of utilizing solar ponds, this research was commenced to enhance their performance so as to rely on them as a nonconventional water resources. Primarily, literature was reviewed in the field of solar ponds. The technique can be used to develop the energy needed for pumping, lifting, collecting or treating water. The agricultural sector users claim that water and energy face problems of environmental degradation due to resources scarcity. This research paper, data was gathered and analyzed, in terms of solar pond parameters such as depth of the upper gradient, shading effect, storage zones, daylight hours, ground temperature and covered insulation for different climate zones so as for different latitudes. The analyzed results indicated that solar ponds possess high potential in arid and semi-arid climates similar to Fayoum governorate, where it is distinguished by its ability to collect heat which can be utilized in different applications. The application cover desalination, electric power generation, salt purification, food and fishing industries. The solar pond technique utilized in many countries to act as the backbone for sustainable development in arid and semi-arid zones such as Victoria desert in Australia.
Speaker Diarization based on Black-Hole Entropy Fuzzy Clustering using Cepstral Features
Authors:   CSE, Mahatma Gandhi Institute of Technology, JNTUH, Hyderabad, India., Ramaiah V. Subba , Rao S. Srinivasa ,   ECE, Mahatma Gandhi Institute of Technology, JNTUH, Hyderabad, India, Devaraju V.S.N.Kumar ,   ECE, Mahatma Gandhi Institute of Technology, JNTUH, Hyderabad, India.
Published: May 2020

Speaker diarization is the process of identification of the speaker in an audio sequence. This paper proposed a speaker diarization method using the Black-hole entropy fuzzy clustering and multiple kernel weighted Mel frequency cepstral coefficient (MKMFCC) parameterization. Initially, the MKMFCC descriptor extracted the cepstral features from the input audio signal. These features are used for clustering the speakers as groups for which the BHEFC is used. The feature parameter uses the audio signal containing both the high and low energy frame for speaker indexing that resulted in accurate separation of speaker. The performance evaluation of the proposed speaker diarization system is analyzed using the measures, such as F-measure, diarization error rate, and false alarm rate. The proposed MKMFCC with BHEFC obtained a minimum diarization error rate of 0.2447, maximum F-measure of 0.8526 and minimum false alarm rate of 0.4299, respectively while changing the wavelength and obtained a minimum diarization error rate of 0.2447, maximum F-measure of 0.8526 and minimum false alarm rate of 0.4298 when compared to the existing methods for the change in the frame length.
Integration of Quantum Computing with IoT
Authors:   Assistant Professor, Chandigarh University, Gharuan India, Kaushik Aman , Narwal Rohit ,   B.E. CSE (IoT), Chandigarh University, Gharuan India
Published: May 2020

The Internet of Things (IoT) is one of the emerging fields which has been developing day by day since 1990 but still having issues like security, privacy, data theft and server requirements to deal with big data. Quantum computing solves most of the problems in IoT but it is still under research stage and can take about a decade or two to get publically available for public use. In this paper, we begin with general introduction on IoT and Quantum Computing and continue on with problems that can be faced during integration of IoT and Quantum Computing. After that, we will also point out the solution to encounter these integration issues in context of efficiency and cost. Finally, we point out the benefits of integration of both fields to existing IoT network architecture.
Using Multi Agent Systems in Green Supply Chain
Authors:   Mechanical, Industrial Management and Innovation Laboratory, Faculty of Sciences and Technologies, University Hassan First, Settat Morocco., Idrissi Mohamed Dif El , Charkaoui Abdelkabir ,   Mechanical, Industrial Management and Innovation Laboratory, Faculty of Sciences Technologies, University Hassan First, Settat, Morocco., Echchatbi Abdelwahed ,   Mechanical, Industrial Management and Innovation Laboratory, Faculty of Sciences and Technologies, University Hassan First, Settat, Morocco
Published: May 2020

the Green Supply Chain Management (GSCM) is one the key concepts that organizations need to implement in order to reduce the environmental impact of their activities due to the increase of environmental awareness. However, its implementation is full of constraints in terms of the coordination and collaboration between all stakeholders. Therefore, many GSCM models and frameworks, like the multi agent systems (MAS) are proposed to reduce the complexity level in the Supply Chain. The main objective of this paper is to study the multi agent systems usage for GSCM modelling. The used research methodology is based on a literature review of 50 articles published between 2012 and 2019 in 10 different journals. 5 articles are selected out of 50 because of their accordance with the research subject. The contribution of this paper is to show the benefits of using multi agents systems for GSCM modelling problems.
Design and Implementation of Braun Multiplier using Parallel Prefix Adders
Authors:   ECE ,GITAM deemed to be university, visakhapatanam, INDIA, Bikkina Siva Chakra Avinash. , Mouni Nekkanti. ,   ECE ,GITAM deemed to be university ,visakhapatanam, INDIA
Published: May 2020

In the recent trends of any application depends on delay and area consumption. The delay and area of consumption are the two important considerations of the industrial. These two parameters are considered for any industry application. This type of application can be developed by the different methods that are used in VLSI technology. The Braun multiplier was developed by two different methods. The CMOS and GDI methods are used to implement this multiplier. The parallel prefix adders are used in the multiplier. Braun multiplier is helpful for increasing the speed of the system. The Braun multiplier is designed in the Tanner V-13 EDA tool. The results of this type of multiplier were considered in both CMOS and GDI.
Improving Success Rate of Transactions in Crypto currency Payment Channel Networks
Authors:   Senior Professor, Computer Science and Engineering department in Galgotias University, Gautam Budhh Nagar, U.P., Sindhu Ritu , Tomar Kartik ,   B.Tech Computer Science and Engineering department in Galgotias University, Gautam Budhh Nagar, U.P.
Published: May 2020

In the recent times, the interest in Blockchainbased crypto currencies has increased rapidly. But the slow time of confirmation of transaction and the high charges per transaction prove to be a problem in the adoption of this technology for micro-payments. To solve this scalability problem, the idea of establishing payment channel networks where nodes establish payment channels between each other to perform offchain transactions. However, this method results in a certain one-way capacity for both nodes for making transactions which means that if a node exceeds its capacity, the channel becomes useless in that direction and hence the payment fails which creates an imbalance in the network. In this paper we aim to increase the rate of success of payments by using the fact that each node is connected to multiple points in a network which can act as gateways and we can use any of these gateways to complete a transaction. By using the inbound and outbound payment traffic ratio, we also define a method for the selection of a particular gateway to carry out the transaction. We use split payment capability with this method to increase the rate of success furthermore, especially for larger transactions.
Data Visualization for the Prediction of Liver Cancer Disease using Different Graphical Techniques
Authors:   Assistant Professor, Department of Information Science and Engineering, Gogte Institute of Technology, Belgaum, Karnataka, India., Kulkarni Gururaj L , Sannakki Sanjeev S ,   Professor, Department of Computer Science and Engineering, Gogte Institute of Technology, Belgaum., Rajpurohit Vijay S ,   Professor, Department of Computer Science and Engg, KLS Gogte Institute of Technology , Belagavi, Karnataka, India.
Published: May 2020

Data visualization is the technique for analyzing the data from the collected dataset. Different plots can be drawn for the data visualization. Microscopic images of the liver are being collected as a dataset from the authorized laboratory and the Joint plot, Violin plot and distribution plot are applied on them for the analysis which helps to extract the specific features and for the classification. Joint plot uses the scatter plot and Histogram technique in order to visualize the data. Violin plot technique is used for plotting the numeric data which helps in gray level co-occurrence matrix. Distribution graph is plotted to check the distribution of tones captured in the image so that we can differentiate based on the tones. All three graphs plotted extract the different features which help in efficient analysis.
An Effective Method for Predicting Malware Family
Authors:   Department, Name of the affiliated College or University/Industry, City, Country, S Nourin N. , A Sulphikar ,   department, Name of the affiliated College or University/Industry, City, Country
Published: May 2020

Today, many of devices are connected to internet through networks. Malware (such as computer viruses, trojans, ransomware, and bots) has becoming a critical concern and evolving security threats to the internet users nowadays. To make legitimate users safe from these attacks, many anti-malware software products has been developed. Which provide the major defensive methods against those malwares. Due to rapid spread and easiness of generating malicious code, the number of new malware samples has dramatically increased. There need to take an immediate action against these increase in malware samples which would result in an intelligent method for malware detection. Machine learning approaches are one of the efficient choices to deal with the problem which helps to distinguish malware from benign ones. In this paper we are considering xception model for malware detection. This experiment results shows the efficiency of our proposed method, which gives 98% accuracy with malimg dataset. This paper helps network security area for their efficient works.
Text to Image Translation using Cycle GAN
Authors:   CSE, V R Siddhartha Engineering College, Vijayawada, India., Monica Kambhampati. , Rao Duvvada Rajeswara ,   CSE, V R Siddhartha Engineering College, Vijayawada, India
Published: May 2020

In the recent past, text-to-image translation was an active field of research. The ability of a network to know a sentence's context and to create a specific picture that represents the sentence demonstrates the model's ability to think more like humans. Common text--translation methods employ Generative Adversarial Networks to generate high-text-images, but the images produced do not always represent the meaning of the phrase provided to the model as input. Using a captioning network to caption generated images, we tackle this problem and exploit the gap between ground truth captions and generated captions to further enhance the network. We present detailed similarities between our system and the methods already in place. Text-to-Image synthesis is a difficult problem with plenty of space for progress despite the current state-of - the-art results. Synthesized images from current methods give the described image a rough sketch but do not capture the true essence of what the text describes. The re-penny achievement of Generative Adversarial Networks (GANs) demonstrates that they are a decent contender for the decision of design to move toward this issue.
Design of Networked Microgrid‟s Control towards Power Coordination and Voltage Frequency Regulation
Authors:   Department of Electrical Engineering, The University of Sydney, Sydney, Australia, Amin Nadil , Hasan K. ,   Department of Electrical Engineering, RMIT University, Australia.
Published: May 2020

One of the state-of-the-arts of smart grid system is the concept of networked microgrid that provides flexible integration and coordination of distributed renewable energy resources in multiple microgrids. However, due to the variable nature of renewable generations, load changes and grid contingencies, the system suffers from significant fluctuations of power, voltage and frequency. This paper seeks to present comprehensive converter control solutions for power sharing coordination and stabilization of voltages and frequency to ensure high power quality and reliability in a networked microgrid system regardless of its grid-connected and islanded modes of operation. The control solutions are provided in d-q axes for both active and reactive powers. The multilevel inverter topology that is designed to interface the distributed energy resources results in better suppression of output harmonics compared to that with a conventional 2-level inverter. The paper also features an interlinking algorithm framework of particle swarm optimization (PSO) to tune the control parameters for the optimized performance of converters. A prototype of grid-connected system of three microgrids is simulated in PSCAD platform to validate the efficacy of the proposed solution.
Mouse Movement through Finger by Image Grabbing
Authors:   Asst. Professor, Department of Electronics and Communications, PSCMR College of engineering and technology At Vijayawada., Babu G Nagendra , Baig Anees Ahamed ,   Student, B.Tech in Potti Sriramulu Chalavadi Mallikharjuna Rao College of engineering and technology, Vijayawada, Sree Chaganti Sai ,   Student, PSCMRCET, Electronics and Communication Engineering, Akhilandeswari Eedhi ,   Student, PSCMRCET, Electronics and Communication Engineering
Published: May 2020

Touch less Interactive screen or system is an upcoming technology in the real life world, which will be another biggest realization followed by the technologies based on the monitors cove as PC monitor, TV Screens without a stroke or touch. The aim of this project is to develop a touch less interactive screen which helps to ease the controlling of any kind of monitors. Project is based on MATLAB platform. In this work, the finger gestures which are captured by a webcam and that will be converted into mouse movements to control the screen. Various Analysis result has included in the report to show the feasibility of the application of this development. A Graphical Interface User (GUI) is developed to let the user to choose perform calibration and number of times it’s required to perform calibration and to trigger the program upon user’s request.
Technological Intervention for Effective Strategies Formulation and Implementation
Authors:   School of Architecture, Urban Development & Planning, Symbiosis Skills &Professionals University, Pune, India, Jagtap Rutuja Deshmukh , Singh D.P. ,   Architecture & Planning Department, AMITY University,Noida, Delhi,India, Singh Ekta ,   ,School of Design, AMITY University, Noida, Delhi, India, Shinde Pramod ,   School of Planning & Architecture, JNIAS, Hyderabad ,India,, Dixit Aparna ,   Architecture, MMCA, Pune, India
Published: May 2020

City development plans i.e. master plans and planning strategies are conventional tools which has been historically used for city planning. However it is realized that the process of implementation has been neglected vis-à-vis formulation. This research emphasis on the significant gap between implementation of city Development plan and its integration with Advance Technological tools and engineering processes. The paper looks into key indications from past documentation and studies on implementation strategies and intervention of technological tools with respect to issues of city development plans. The review of collection of 131articles represents a valuable research contribution and development in the related field. Constructed on these findings, three research areas of potential interests are identified. This paper puts forth research based findings on execution methodology with integration of technological tools like GIS, MIS, APS and strategies for effective implementation than to formulating which is missing in city development planning over a period
Fuzzy based Dynamic Security Parameters Determination Method to Improve Energy Efficiency
Authors:   Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Republic of Korea., Kang Ye-lim , Cho Tae-ho ,   Department of Computer Science and Engineering, Sungkyunkwan University, Suwon, Republic of Korea.
Published: May 2020

Fine dust is a harmful substance that floats in the atmosphere. It is not filtered well in the bronchus and causes health problems when it accumulates in the body. Fine dust that is present in the air outside can flow into buildings through windows and other openings, adversely affecting indoor air quality. It has negative health effects on people who live indoors. As attention to problems associated with fine dust gradually rises, the importance of continuously managing the quality of indoor air through air purification rises. Therefore, recently, research and development into systems to periodically purify indoor air are being carried out. This paper introduces an air purification system, a Wireless Sensor Networks (WSNs)-based Internet of Things (IoT) air purification system. In the WSNs-based IoT air purification system, the IoT air purifier is controlled based on event information that the WSNs senses, so it is important to maintain the security of the event information. To this end, a WSNs security protocol, Interleaved Hop by hop Authentication (IHA), is used in this system. IHA is a security protocol in which sensor nodes and a Base Station (BS) detect and drop false reports if the number of compromised sensor nodes does not exceed a security threshold. That is, because the false report injection attack that the number of compromised sensor nodes exceeds security threshold can’t defend by IHA, it is detected and defended through Data Calibration. However, considerable energy of the sensor nodes is unnecessarily consumed in the process of forwarding false reports. Thus, this paper proposes a method of decreasing and increasing security thresholds dynamically according to the network situation using fuzzy logic. This proposed scheme has the advantages of improvements in both the overall energy efficiency and network lifetime in WSNs.
The arrival of COVID-19 in the Netherlands
Authors: Falières Xavier
Published: May 2020

The last three months have been the most memorable and the most tense period in the lives of the most of us. After Taking Wuhan (China) by storm, the coronavirus crossed all of the frontiers and reached to 202 countries, including the East Asian countries, Middle East, the Americas and then the European countries. The Netherlands was effected less, with about 1000 deaths and more than 12000 confirmed patients, than its neighbors – Italy and Spain, but had its share. This manuscript presents an outline of the public perceptions, and the guidelines to manage these patients at different stages of the disease, including ventilation and intubation protocols, based upon our experience of over two months. It does not claim to be complete and exhaustive, and the readers are directed to consult their National guidelines (if any).

Citation: Falières X. The arrival of COVID-19 in the Netherlands (Perspective). Anaesth pain intensive care 2020;24(1):__

DOI: https://doi.org/10.35975/apic.v24i1.

Received – 14 March 2020

Reviewed & Accepted – 18 March 2020
Circle therapy for headache management: case studies
Authors: Rafiq Muhammad
Published: May 2020

Recent findings have indicated that hypnotic interventions produce significant decrease in pain intensity. This current case studies are focused to highlight significant impact on pain management including headache. All the patients underwent a complete observation and clinical interview and only patients with psychological pain were included in the study group. For the management of headache, a novel hypnotic intervention - Circle Therapy (CT), was applied on a group of ten patients indicating their pain intensity in the range of 8-10 on subjective pain rating scale. According to rating scale, headache above 8 was considered as severe, 5-8 moderate and < 5 as mild.  CT is a brief hypnotic technique limited to about 10 min. Post hypnosis ratings were also measured. The pre and post hypnosis data were recorded and analyzed by paired samples t test. Use of CT showed significant results between pre and post rating e.g. 9 ± 0.25 vs. 1 ± 0.21 (p < 0.001). This brief CT intervention provided an immediate relief from headache, however, this is limited to few case studies focusing on just headache. So, we recommend large sample studies to document the effects of CT in different types of pain.

Citation: Rafiq M. Circle therapy for headache management: case studies. Anaesth pain intensive care 2020;24(1):__

DOI: https://doi.org/10.35975/apic.v24i1.

Received – 28 December 2019;

Reviewed – 10 January 2020;

Accepted - 10 January 2020;
Disulfiram induced bilateral foot drop; an under-recognised cause for peripheral neuropathy
Authors: Mansoor Salman , Murphy Kevin , Kelly Siobhan
Published: May 2020

Disulfiram is commonly used in chronic alcoholics as an effective treatment. We report a case of a 50 years old Irishman who was on disulfiram for the last nine years. He developed progressive bilateral foot drop, which started with one foot and later on progressed to bilateral involvement over a period of eight months. Our case report highlights the need to take into consideration disulfiram as one of the possible causes of peripheral neuropathy, which is a rare side effect of this drug.

Abbreviations: Abductor Digiti Minimi – ADM; Extensor Digitorum Brevis – EDB, Abductor Hallucis – AH; Antinuclear antibodies - ANA; Ribonucleoprotein – RNP; Cerebrospinal fluid – CSF; Non-recordable – NR; Electromyography – EMG; Flexor digitorum indicis – FDI; Sensory nerve action potential - SNAP

Citation: Mansoor S, Murphy K, Kelly S. Disulfiram induced bilateral foot drop; an under-recognised cause for peripheral neuropathy. Anaesth pain intensive care 2020;24(1):__

DOI: https://doi.org/10.35975/apic.v24i1.

Received – 28 December 2019;

Reviewed – 10 January 2020;

Accepted - 10 January 2020;
Anticipated difficult intubation in a septic shock patient
Authors: Hasan S. Shakir
Published: May 2020

Difficult intubation can be a real challenge for any anesthesiologist. It is particularly hazardous and much more difficult to manage in an emergency situation.

We present a case of a 72 years old male patient who was brought to ER with stridor and increasing shortness of breath. He was unstable hemodynamically on presentation, so was managed with adrenaline/salbutamol nebs, I/V fluids and intermittent boluses of vasopressors in the ER. ENT referral was also sought who tried a quick nasal scope, but couldn’t come to any conclusion. During neck examination they could feel a mass in the upper part of the neck and made a provisional diagnosis of a pharyngeal abscess. Portable chest x-ray was unremarkable and there was no time to do a CT neck to confirm the diagnosis due to the patient’s worsening condition. It was decided to rush the patient to OR for an awake fibre-optic intubation in the presence of ENT team in case if there was a need to do an emergency tracheostomy. The OR was prepared accordingly and the patient’s upper airway was sprayed and nebulized with lignocaine.  A very small dose of remifentanil infusion was started for better tolerance of the procedure. Patient remained in an extremely critical condition with a systolic blood pressure 60-70 mmHg, despite of I/V fluids and metaraminol infusion. He also required intermittent boluses of 25 mics of adrenaline. There was no time for central venous access.
互联网金融风险管控现状分析与应对措施
Authors: 阚 婧 , 蔡 敏夫
Published: May 2020

随着互联网技术的不断发展，应用领域愈加广泛，信息应用技术更新换代愈加频繁，“互联网 +X 行业”模式迅速形成，社会各类行业发展愈加需要互联网技术支持。互联网金融模式逐步走入发展机遇时期，深刻影响传统金融产业发展。论文分析了互联网金融内涵要义、互联网金融发展特征和互联网金融风险管控现状，提出若干应对措施，以此更好促进互联网金融风险管控。
政府会计制度下医院全面预算绩效管理探索
Authors: 刘 培春
Published: May 2020

在医院的战略规划中全面预算管理是非常重要的管理工具，这也是医院实现精细化管理的必要措施。论文在政府会计制度下对医院全面预算绩效的管理进行了深入分析，对全面预算管理工作的不足进行了探讨，并给出了一些切实可行的精细化管理措施。
从技术经济视角初探 LNG 接收站改扩建项目管理中的采购应用
Authors: 谭 秋月
Published: May 2020

广东 LNG 试点项目一期总投资 300 多亿元人民币，项目包括 LNG 站线项目、4个新建电厂、1 个油改气电厂、4 个城市燃气管网、LNG 造船及运输。自从一期工程投产以来，为保障安全供应，接收站根据现场情况，实施了一系列改扩建工程，从国际承包商主导的总包模式转化为业主自主管理的设计采购施工管理，摸索出一条适合 LNG 接收站改扩建项目的项目管理模式，论文针对项目管理中的采购应用，结合多年实践经验，总结提炼，从技术经济视角探索 LNG 接收站改扩建项目采购管理的相关内容。
基于数据包络分析的法院审判质效研究
Authors: 李 琪 , 吴 其睿
Published: May 2020

在全面深化司法体制改革的背景下，审判质效的提升迫在眉睫。论文运用数据包络分析 CCR 模型，基于 2018 年安徽省 16 个中级人民法院的相关数据，对法院的审判质效量化评价进行研究。
煤炭企业发展电子商务的重要性及策略探讨
Authors: 李 永军
Published: May 2020

随着互联网的高速发展，煤炭企业作为中国经济的支柱性产业，其更应该实施电子商务，从而促进中国煤炭企业的进一步发展。基于此，论文主要对煤炭企业发展电子商务的重要性及发展策略进行了探讨与分析。
互联网+代理记账新模式下代理记账公司的机遇与风险防范研究———基于巴彦淖尔市实践
Authors: 杨 春艳 , 刘 亚东
Published: May 2020

现如今，中国各个行业都已经步入了信息化的发展时代，开始采用现代化技术对生产与管理进行改革，其中，代理记账公司为了谋求新的发展机遇与空间，也打造了互联网＋代理记账的新模式。论文以巴彦淖尔市为典型代表，对互联网 + 代理记账新模式下代理记账公司的机遇与风险防范措施进行研究，以供参考。
建筑工程招投标管理风险与预防措施分析
Authors: 裴 凯
Published: May 2020

随着中国市场经济体系的不断发展完善，中国建筑工程领域也发展得越来越壮大，但是依然存在着一些没有解决的问题。在建筑工程招投标的管理过程中，存在着一些风险，论文简要分析了存在的风险并提出了相应的预防措施。
现代建筑中智能照明控制技术研究
Authors: 王 一玮
Published: May 2020

照明系统为人民群众的工作、学习和生活提供了良好的视觉环境。智能照明系统具有一定的优越性，在现代建筑照明中发挥着重要作用，论文主要对现代建筑中智能照明控制技术进行了分析。
浅析洁净医药厂房设计中装修技术及设备选型
Authors: 张 飞
Published: May 2020

洁净医药厂房由于涉及的工艺内容复杂，为保证施工结果满足设计要求，在施工过程中，涉及的装修设备选型及装修技术，需要结合洁净医药厂房的要求、材料及技术进行设备选型。
浅谈季节冻胀对桥台稳定性的影响
Authors: 贾 旭东
Published: May 2020

随着国家“一带一路”倡议的推进，公路网络建设将向纵深发展。论文针对冻胀对桥台稳定性的问题提出几点建议，如桥梁结构混凝土耐久性、冻胀力对桥台的影响等，以供参考。
取消省界收费站后云平台需求与功能设计研究
Authors: 任 杰
Published: May 2020

对取消省界收费站后云平台需求进行综合分析，介绍取消省界收费站后云平台功能，提出提升高速公路取消省界收费站后云平台设计水平的重要途径，保证取消省界收费站后云平台的稳定运行，希望可以给相关工作人员提供一定的参考。