bluuebunny/crossref_metadata_2025 huggingface dataset:
To live (code) or to not: A new method for coding in qualitative research
Authors: Parameswaran Uma D , Ozawa-Kirk Jade L , Latendresse Gwen
Published: April 2019

Coding is an integral part of qualitative research for many scholars that use interview or focus group data. However, current practices in coding require transcription of audio/visual data prior to coding. Transcription before the coding process is an essential process for data analysis and even with meticulous detail, the nuances of nonverbal behavior found in audio and video data can be missed. In this article, we propose an alternative to coding with transcripts using a method called live coding which allows for simultaneous manual coding while listening or watching audio or video recording. We compared the method of live coding with transcript coding of text using focus group data from a perinatal telehealth group addressing depression. Based on the themes that emerged from analyzing the process, it is likely that live coding can be beneficial in preserving the voice of the participant especially used within focus group data. Live coding allowed us to see and hear the participants, an empowering process which allowed intent, context, and meaning of the words to be present in the results. Further study of live coding should include using digital tools for the analysis of qualitative data.
One-year outcomes of the BeGraft stent graft used as chimney graft in conjunction with the Endurant device for the treatment of complex abdominal diseases
Authors: Taneva Gergana T , Usai Marco V , Pitoulias Georgios A , Torsello Giovanni , Austermann Martin , Donas Konstantinos P
Published: April 2019

Aim

To evaluate the performance of two different flexible devices, the balloon-expandable BeGraft stent as on-label chEVAR use with the Endurant (Medtronic, Santa Rosa, USA) stent graft compared to the self-expandable off-label employment of Viabahn (Gore Flagstaff, Arizona, USA).

Methods

All patients treated for pararenal aortic pathologies between 2008 and 2017 using Endurant II (Medtronic, Santa Rosa, CA, USA) abdominal endograft in combination with Viabahn (Gore, Flagstaff, AZ, USA) or BeGraft (Bentley, Hechingen, Germany) at our institution were retrospectively analyzed. Patients were divided into two groups according to the employed chimney graft, namely Viabahn (group A) and BeGraft (group B). The primary endpoint was the incidence of type IA endoleak at one month and last follow-up. Secondary endpoints included reintervention rates, primary patency of the chimney graft, and need for additional placement of bare metal stents also known as relining.

Results

A total of 27 patients (mean age: 76 years) were treated with overall 47 chimney grafts. In particular, 11 patients received 21 Viabahn and 16 patients underwent placement of 26 BeGraft stents. Mean follow-up was 14.3 ± 9.0 months for group A and 13.0 ± 13.7 for group B, p = .451. The mean chimney graft length was 85.1 ± 38.9 mm for group A and 34.9 ± 9.8mm for group B ( p < .001). The oversizing rate at the proximal sealing zone was significantly higher in group B (Group A: 23.1 ± 16.5% vs. Group B: 33.6 ± 7.6%, p = .007). The primary patency rates were similar between groups ( p = .250). The subgroup analysis showed a significantly higher early (9–42.9% vs. 2–7.7%, p = .005) and at last CT follow-up (5–23.8% vs. 0–0.0%, p = .011) type IA endoleak, higher primary relining (14–66.7% vs. 5–19.2%, p = .001) and reintervention rates (5–23.8% vs. 0–0.0%; p = .011) for group A chimney stent grafts.

Conclusions

Both chEVAR combinations displayed similar patency rate, showing the BeGraft-Endurant composition less need for relining and fewer one-year type IA endoleak and reintervention rates in the subgroup analysis.
The role of alcohol response phenotypes in the risk for alcohol use disorder
Authors: King Andrea C. , Cao Dingcai , deWit Harriet , O'Connor Sean J. , Hasin Deborah S.
Published: April 2019

Heavy alcohol use is pervasive and one of our most significant global health burdens. Early theories posited that certain alcohol response phenotypes, notably low sensitivity to alcohol (‘low-level response’) imparts risk for alcohol use disorder (AUD). However, other theories, and newer measures of subjective alcohol responses, have challenged that contention and argued that high sensitivity to some alcohol effects are equally important for AUD risk. This study presents results of a unique longitudinal study in 294 young adult non-dependent drinkers examined with alcohol and placebo testing in the laboratory at initial enrolment and repeated 5 years later, with regular follow-up intervals assessing AUD (trial registration: http://clinicaltrials.gov/ct2/show/NCT00961792). Findings showed that alcohol sedation was negatively correlated with stimulation across the breath alcohol curve and at initial and re-examination testing. A higher rather than lower alcohol response phenotype was predictive of future AUD. The findings underscore a new understanding of factors increasing vulnerability to AUD.
Can Menopause Prediction Be Improved With Multiple AMH Measurements? Results From the Prospective Doetinchem Cohort Study
Authors: de Kat Annelien C , van der Schouw Yvonne T , Eijkemans Marinus J C , Broer Simone L , Verschuren W M Monique , Broekmans Frank J M
Published: April 2019

Context

Anti-Müllerian hormone (AMH) levels are used worldwide as a screening tool for the duration of the female reproductive lifespan. Although AMH levels are associated with age at menopause, individual predictions of menopause with a single AMH measurement are unreliable.

Objective

This study investigated whether individual AMH decline patterns can improve the prediction of menopause compared with a single measurement.

Design

The study population comprised 2434 premenopausal women from the population-based Doetinchem Cohort Study. Participants were followed up every 5 years for a total of 20 years, and AMH was measured in 6699 plasma samples with the picoAMH assay. Longitudinal statistical modeling was combined with time varying Cox modeling, to integrate multiple AMH measurements per woman.

Results

The mean age at menopause was 50 years, and 7.4% of the women who reached menopause during follow-up did so before age 45 years. For a 25-year-old, the AMH decline rate between ages 20 and 25 years increased the C-statistic of menopause prediction from 0.64 to 0.69. Beyond that age, the AMH decline rate did not improve predictions of menopause or early menopause. For women younger than age 30 years, for whom menopause prediction is arguably most relevant, the models underestimated the risk of early menopause.

Conclusion

These results suggest that knowledge of the AMH decline rate does not improve the prediction of menopause. Based on the low discriminative ability and underestimation of the risk of early menopause, the use of AMH as a screening method for the timing of menopause cannot currently be advocated.
Artificial intelligence in oncology, its scope and future prospects with specific reference to radiation oncology
Authors: Rattan Rajit , Kataria Tejinder , Banerjee Susovan , Goyal Shikha , Gupta Deepak , Pandita Akshi , Bisht Shyam , Narang Kushal , Mishra Saumya Ranjan
Published: April 2019

Objective:

Artificial intelligence (AI) seems to be bridging the gap between the acquisition of data and its meaningful interpretation. These approaches, have shown outstanding capabilities, outperforming most classification and regression methods to date and the ability to automatically learn the most suitable data representation for the task at hand and present it for better correlation. This article tries to sensitize the practising radiation oncologists to understand where the potential role of AI lies and what further can be achieved with it.

Methods and materials:

Contemporary literature was searched and the available literature was sorted and an attempt at writing a comprehensive non-systematic review was made.

Results:

The article addresses various areas in oncology, especially in the field of radiation oncology, where the work based on AI has been done. Whether it’s the screening modalities, or diagnosis or the prognostic assays, AI has come with more accurately defining results and survival of patients. Various steps and protocols in radiation oncology are now using AI-based methods, like in the steps of planning, segmentation and delivery of radiation. Benefit of AI across all the platforms of health sector may lead to a more refined and personalized medicine in near future.

Conclusion:

AI with the use of machine learning and artificial neural networks has come up with faster and more accurate solutions for the problems faced by oncologist. The uses of AI,are likely to get increased exponentially . However, concerns regarding demographic discrepancies in relation to patients, disease and their natural history and reports of manipulation of AI, the ultimate responsibility will rest on the treating physicians.
Sobre links e herança construcional: uma revisão à luz da interrelação entre as construções núcleo-complemento, transitiva básica e monoargumental inacusativa
Authors: De Freitas Júnior Roberto , Marques Priscilla Mouta
Published: April 2019

Este artigo tem como objetivo apresentar uma breve discussão sobre as noções de links e herança apresentadas no trabalho clássico de Goldberg (1995) e no trabalho de Diessel (2015) e analisar a interconectividade existente entre três construções altamente esquemáticas: a construção núcleo-completo (CNC), a construção transitiva básica (CTB) e a construção monoargumental inacusativa (CMI). Pautamo-nos, para este fim, no arcabouço teórico da Linguística Funcional Centrada no Uso (LFCU), segundo o qual a língua é concebida como uma rede de construções, ou seja, um inventário estruturado de pareamentos forma-sentido. A análise aqui desenvolvida aponta para o compartilhamento de propriedades formais e semânticas/funcionais das construções supracitadas: todas as três construções, por exemplo, apresentam a configuração verbo + sintagma nominal com caráter menos agentivo (sendo esta configuração uma subparte da CTB) e caracterizam-se pela forte tendência de apresentarem alto grau de novidade e/ou saliência da informação, assumindo, portanto, um papel mais focal.
Performance, Microbial Community Analysis and Fertilizer Value of Anaerobic Co-digestion of Cattle Manure with Waste Kitchen Oil
Authors: Nogueira Ricardo Galbiatti Sandoval , Lim Teng Teeh , Wang Haoqi , Rodrigues Paulo Henrique Mazza
Published: April 2019

Abstract. Co-digestion trials of beef cattle manure and waste kitchen oil (WKO) were conducted to evaluate potential increase of biogas production for a local beef farm anaerobic digester. The trials were conducted using laboratory-scale, semi-continuously loaded digesters under mesophilic conditions, with 21-day hydraulic retention time (HRT). In a preliminary test, WKO was added at 0%, 0.5%, 1.0%, 1.5%, and 2.0% by volume, each with replicate digesters (n=2), except for the 0% level, which had one digester (n=1). Methane (CH4) yield per week increased linearly with WKO levels. Populations of bacteriodetes decreased, while clostridiales and synergistales increased with the WKO levels. A second test was conducted using treatments with more replication: control (n=3), and 1.0% (n=3) and 2% (n=3) WKO levels. Methane yields of the 1.0% and 2.0% WKO levels were 79.1% and 203% higher than the control, respectively. Addition of WKO have resulted in changes of the metagenomics of the digesters. Populations of clostridiales increased, while bacteroidales and euryarchaeota methanomicrobia YC-E6 decreased with the WKO levels. The findings confirm adding low amounts (1% and 2%) of WKO as co-digestion feedstock can be an effective way to increase CH4 yield for beef operation anaerobic digestion, especially when there are available feedstock nearby. Keywords: Anaerobic digestion, Biogas, Methane, Semi-continuous digesters.
Creative resistance tactics in the work of English Canadian screenwriters
Authors: McArthur Kerry
Published: April 2019

This article analyses how eight successful English Canadian screenwriters negotiate various norms of screenwriting practice, in particular the criteria for three-act structure, character development and closure as advocated by Hollywood. The writers discuss their interpretations of what they consider essential narrative elements in screenplay projects, while dismissing other edicts of the screenwriting industry. Analysis of interview transcripts reveals that most of these writers take their inspiration from their own experience of screenwriting and their interpretations of other screenplays and historic texts on narrative rather than from contemporary screenwriting textbooks. The focus for almost all of these screenwriters is on writing screen stories in original ways, rather than adopting standardized narrative directives, even when elements of these directives have their uses.
Taking creativity seriously: Developing as a researcher and teacher of songwriting
Authors: McIntyre Phillip
Published: April 2019

This article provides a brief overview of extant scholarly songwriting literature as well as accounting for the broader research into creativity, primarily from psychology and sociology. It outlines work from popular music studies that focuses on creativity before zooming in closer to studies directly addressing songwriting. Combining this research tradition with the wealth of primarily anecdotal, non-academic material about songwriting, this article then sets out an autoethnographic account of the author’s own development as a teacher of songwriting with reference to how my scholarly and musical work has informed the development of my own teaching of songwriting.
Open Access University Press | A Research Project at the Leipzig University of Applied Sciences, Germany
Authors: Schrader Antonia , Grossmann Alexander , Reiche Michael , Böhm David
Published: April 2019

The poster is an overview of the research project Open-Access-Hochschulverlag (in english Open Access University Press), that is funded by the Federal Ministry of Education and Research (BMBF, Germany) for 23 months (Start in May 2018).

Open Access (OA) book publishing is still in relatively early stages, leading to academic books being much less frequently published OA than research journal articles. This has various effects on the publication landscape, which are described here.

Despite established publishers meanwhile also offer the publication of OA monographs, only certain researchers can actually publish, because of high Book Processing Charges (BPCs) up to 10,000 USD and more. In contrast, university presses have started to publish monographs as OA without any or at significantly lower charges; however, university presses often do not have the technical know-how of the state-of-the-art publishing of OA books possessed by academic publishers.

This is why, our research project aims to develop an sustainable and easy-to-adopt publication workflow for OA monographs, which is media-neutral as well as both cost-effective and personnel-efficient. Universities shall be enabled to publish their book publications as OA by adopting this workflow.

In addition, first results and an outlook ahead to the further steps of the research project are depicted on the poster.
Mapeamento do potencial solar para microgeração de energia elétrica: o caso da cidade de Ilhéus
Authors: Gomes Ronaldo Lima , Cerqueira Adriano Hoth , Strenzel Gil Marcelo Reuss , Prereira Ykaro Da Cruz
Published: April 2019

Este trabalho tem o objetivo de mapear o potencial solar para microgeração de energia elétrica do centro urbano de uma cidade média brasileira localizada na região sul do Estado da Bahia. O método se embasa na manipulação, em ambiente de sistemas de informações geográficas, de planos de informações que representam as características das áreas de cobertura dos telhados, da irradiância solar global e de microgeração de energia solar. Os resultados encontrados indicam valores de irradiância solar global da ordem de 4,2 KWh/m2/dia que quando coletados por painéis solares distribuídos nas coberturas da cidade produzirão, em média, 520,5 KWh/mês de energia elétrica por logradouro. Neste cenário, a cidade de Ilhéus tem o potencial de produzir 19,76 GWh/mês de energia comportando-se como uma usina de geração de energia elétrica de 27,44 MW de potencia, equivalente ao potencial de usinas hidrelétricas médias e dos modernos parques eólicos ocorrentes no país.
A survey on OAUTH protocol for security
Authors: Srikanth V , Sneha Latha Jupalli , Ajay Kumar Dinne , Uma Maheswari Kakarla
Published: April 2019

Web is a dangerous place. For each administration, each API’s, there are clients who might love simply to get through the different layers of security you've raised. It is one of the most powerful open standard authorization protocols available to all API developers today. Most of the popular social network API’s like Google, Twitter and Facebook uses OAuth 2.0 protocol to intensify user experience while sign-ing-on and social sharing. The code written for authorization may be leaked during transmission which then may lead to misuse. This paper uses an attacker model to study the security vulnerabilities of the OAuth protocol. The experimental results on Google API shows that some common attacks like Phishing, Replay and Impersonation may be possible on this protocol.
Development of graphical user interface for open source VLSI digital synthesis tool Qflow
Authors: Roy K. Sripath , Abhiram K. , Sumanth M. Arun , Jaishankar Jaishree , Abhishek P. , Prabhat B. Nikhil , Teja L. Gnana
Published: April 2019

There are many tools that are used for simulation in the domain of VLSI technology but none of them are easily accessible. There is a need for Free and open source tools in this stream so as to make them accessible to everyone. There are efficient tools that already exist in open source in VLSI stream but are not used widely because of their command line user interface. Hence, creating a user friendly interface will help many developers and users to work easily. This paper deals with the idea to solve the above issue by creating a Graphical User Interface for the open source VLSI tool called QFlow. Qflow is a tool used in synthesizing a VLSI circuit from the Verilog source code. There are multiple tools integrated with this tool to assure the simulation process. It is a combination of many dependencies that are used for synthesis, placement, layout viewing and routing in a fabrication process. All the independent tools used for the Verilog code simulation are integrated onto a single platform. Qt is used for creating the cross-stage application.
Smart alert for smart transportation
Authors: Kishore Kumar K , Sravan Kumar Atmakuri , Amarnadh Gupta Sunkari , Venkata Naga Parvesh Sure
Published: April 2019

Road accident is mostly happened to a road user, though they happen quite often. The most unfortunate thing is that we don't learn from our mistakes on road. Most of the road users are quite well aware of the general rules and safety measures while using roads but it is only the laxity on part of road users, which cause accidents and crashes. Main cause of accidents and crashes are due to human errors. Many of the road accidents occurs in the human errors by overriding, drink and drive and don’t follow safety precautions on roads. Various national and international researchers have found these as most common behavior of Road drivers, which leads to accidents [4].So, we came up with an application to alert hospital emergency and cops. all the users can easily handle this application when accident emergency occur. In the same way we can save life of a person by occur road accident.
An effective solution for DDOS attack
Authors: Raj Panakadan Rusheel , Dhanush Chitluri , Carmel Mary Belinda Dr
Published: April 2019

Distributed Denial of Service (DDoS) attacks constitute one of the major threats and among the hardest security problems in today’s internet. Defense against these attacks is complicated by spoofed source IP addresses, which gives us a tough task to find out the packets origin. So this paper represents a solution for a  DDoS attack. We’ll be using wireshark tool to analyze the network traffic of any interface and find malicious activity by hackers. An algorithm is written at the server side so that if any malicious user sends asynchronous requests at a rate of (>=30 requests per second) then a Visual Basic script is sent to the malicious user. The Visual basic script consists of code encapsulated, allowing system administrators to generate and manage computers with error handling, sub routines etc. This .vbs scripts are made to auto run on the computer, thus making a particular service unavailable to the malicious user. Hereby, stopping the server from partial shutdown or preventing it from DDoS attack.
Particle swarm optimization to produce optimal solution
Authors: Saranya Jothi C , Usha V , Nithya R
Published: April 2019

Search-Based Software Testing is the utilization of a meta-heuristic improving scan procedure for the programmed age of test information. Particle Swarm Optimization (PSO) is one of those technique. It can be used in testing to generate optimal test data solution based on an objective function that utilises branch coverage as criteria. Software under test is given as input to the algorithm. The problem becomes a minimization problem where our aim is to obtain test data with minimum fitness value. This is called the ideal test information for the given programming under test. PSO algorithm is found to outperform most of the optimization techniques by finding least value for fitness function. The algorithm is applied to various software under tests and checked whether it can produce optimal test data. Parameters are tuned so as to obtain better results.
Detection and control of power loss due to soiling and faults in photovoltaic solar farms via wireless sensor network
Authors: Abid Ahmed , Obed Adel , Al-Naima Fawzi
Published: April 2019

Solar photovoltaic (PV) farm output power is highly related to the panel conditions. Soiling causes faults in the PV panels leading to a dras-tic reduction in the system efficiency. In vast solar PV farms, the detection of faults in an individual PV panel is a difficult task since it is usually done manually. In this research, a new design is proposed to detect the production of individual PV panel automatically and periodically to evaluate the condition of each panel in the farm no matter how it is connected in the array. The proposed design allows the user to measure the open circuit voltage (VOC), the short circuit current (ISC) and the delivered power for each PV panel in the farm. It is also capable of controlling each panel to work at the maximum power point using a built in Maximum Power Point Tracking (MPPT) sub-circuit on each solar panel. The presented system depicts a complete wireless sensor network, which does not need any extra wiring and is character-ized by being of low cost, reliable and efficient.
Optimizing solar energy for houses with slanting type roofs
Authors: Sabri Salim Muhammed
Published: April 2019

During the daily sun cycle, the falling rays are of varying intensity on the solar panel reducing the energy generated from it. This is evident in the energy production of solar panels that are installed on the slanted surfaces of homes scattered in the rain regions of the world. In this research, the reasons for the low efficiency of energy production of solar panels that are installed on the A-frame designs of homes were studied and solved. The design of an integrated tracking system is developed based on fuzzy logic control using an open source code that can be easily modified. The performance and characteristics of the solar tracking device are tested experimentally to test its suitability for use with slanted roofs homes. The integrated solar localization system offers economical and efficient solar monitoring, as well as open source programming, which allows for future improvements and changes. In addition, the single-axis fuzzy tracking system was good for moving both panels in less than five seconds towards the sun. The adoption of the proposed design provides an extremely accurate tracking system and therefore, maximizes the potential of power generated by the solar panel since it will meet the sun's rays from dawn to dusk. The economic effect of the proposed design is to approximately double the value of electrical power received compared to the fixed design.
Importance of standardization in Wide Area Network capacity management for future cost optimization
Authors: Sinha Sudip , Das Anirban , Ghosh Amitava
Published: April 2019

For Enterprise organization, IT (Information Technology) budget is getting reduced and Organizations are focusing on optimizing Operating cost to save money which can be used in Security enhancement to protect the IT / OT (Production) asset or in innovative solution deployment to get competitive advantages in the market [1] [2]. As in the technologies are undergoing paradigm shift from closed end to open ended (cloud / IoT centric) Solution and customer needs secured connectivity for reliable service delivery, Next Gen solution approach must be standardized for easy governance for the future.
Access control system using beacon-based indoor location data pattern analysis
Authors: Gwang Lee Jae , Pil Lee Jae , Su Mo Eun , Hyeon Lee Jun , Su Yoon Ki , Kwang Lee Jae
Published: April 2019

Background/Objectives: With the development of IT, accidents of industrial secret leakage have occurred more than before. Such acci-dents are mostly caused by insiders. Methods/Statistical analysis: An existing access control system uses RFID and NFC tag. The system saves only the final location in-formation in DB. For the reason, it is hard to track a user’s location data in real time. However, a beacon-based access control system saves a user’s location information in DB in real time. By analyzing the location information of DB, it is possible to track a user. Findings: Beacons are used for determining a user’s location. The determined location information is converted into location data which is saved into DB. The location data is converted into coordinates. The converted coordinate data is analyzed for understanding a user’s behavior pattern. In the pattern analysis, if a user takes an abnormal behavior, policy-based response is performed. The user behavior pattern analysis system proposed in this study is able to respond to an accident in real time. Therefore, it is expected to contribute to reducing the number of industrial secret leakage accidents caused by insiders. Improvements/Applications: This study designs a model that analyzes behavior pattern by using the indoor location data of a user based on beacon.
Latest advancement in image processing techniques
Authors: Raghavendra V , Vinay kumar N , Kumar Manish
Published: April 2019

Image processing is method of performing some operations on an image, for enhancing the image or for getting some information from that image, or for some other applications is nothing but Image Processing [1]. Image processing is one sort of signal processing, where input is an image and output may be an image, characteristics of that image or some features that image [1]. Image will be taken as a two dimensional signal and signal processing techniques will be applied to that two dimensional image. Image processing is one of the growing technologies [1]. In many real time applications image processing is widely used. In the field of bio technology, computer science, in medical field, envi-ronmental areas etc., image processing is being used for mankind benefits. The following steps are the basics of image processing:Image is taken as an inputImage will be processed (manipulation, analyzing the image, or as per requirement)Altered image will be the outputImage processing is of two typesAnalog Image Processing:As the name implies, analog image processing is applied on analog signals. Television image is best example of analog signal processing [1].(DIP) Digital Image Processing:DIP techniques are used on images, which are in the format of digital for processing them, and get the required output as per the application. Operations were applied on the digital images for processing [1].In this paper, we will discuss about the technologies or tools for image processing especially by using Open CV. With the help of Open CV image processing will be very easy and efficient. When Open CV is collaborated or integrated with python the results are mind blowing. We will discuss about the process of using python and Open CV.
Experimental Study on High Strength Concrete by Partial Replacement of Fine Aggregate by Ceramic Tile waste
Authors: Dhanasekar S , Vinothraj S , Ravichandran P T , Aravindan A
Published: April 2019

Growth in construction industry is linked to the growth of infrastructure sector and the building industry.  Construction industry has been growing @ 8-10% per annum and is likely to maintain the same in year to come. Concrete is widely used as a construction material due to inherent advantages. Booming economic growth led to indiscriminate and unregulated mining of river sand for construction which resulted in erosion of river bank and damage to bio-diversity. The demand for river sand is only expected to grow as the demand for housing and infrastructure is ever increasing. Hence, there is a pertinent need to look for alternate materials to river sand.This study explores use of ceramic tile waste as an optionto the replacement of river Sand in terms of suitability, acceptability, and viability. In this study the ceramic tile waste is being used to replace the conventional sand i.e. fine aggregate (FA). The ceramic fine aggregate (CFA) are used in concrete by replacing FA by 10%, 20%, 24%, 28%, 30% and 40%. In order to compare the results of conventional concrete (CC) with CFA concrete a concrete design mix of M50 is produced with various proportions of CFA material. Due to the good bonding nature of ceramic materials with cement it increases the strength of the concrete with respect to the increase of CFA material. The durability properties of concrete also seems to be performed well because, the CFA materials are consist of good chemical resistance nature. From the study it is found that the percentage of replacement for FA with CFA material is 20%, within which the performance of CFA concrete is better and all the results are attained within the design limit and it help to solve the disposal problem to the environment.
A Study on Porous Sealing Efficacy of hydrophilic Admixture on Blended Cement Concrete
Authors: Krishnaraj L , T. Ravichandran P , V.A.Karthik M , Satheeshram Avudaiyappan N , . .
Published: April 2019

The life of the concrete is strongly influenced by durability parameters. The permeability is one of the main characteristics influencing the durability of concrete. The concrete is more permeable due to the ingress of water, oxygen, chloride, sulphate, and other potential deleterious substances. The durability of concrete is mainly affected by pore structure system of concrete and addingthe supplementary cementitious materials (SCM), such as fly ash, slag cement, and silica fume can be decrease permeability. Crystalline technology enhances the strength of concrete by filling the poresand micro-cracks with non-dissolvable substances. To study the efficiency of crystalline formation in concrete in terms of more permeable should be guaranteed through a specific technique.The effectiveness of crystalline waterproofing system with partial replacement cement by GGBS is studiedin terms of strength and durability. The performance of the two different types of crystalline waterproofing integral admixtures has been studied for compressive strength, Split tensile strength, workability, water permeability, Rapid chloride permeability test and porosity in this paper.The early strength increased in GGBS with crystalline admixture concretes compare to the control concrete. No significant strength reduction is observed in GGBS concretes with crystalline admixture when replaced with 20% and 40% of cement than control concrete.
An integrated approach for enhancing data security
Authors: Manikandan G , Jeeva Dharani R , Maya R
Published: April 2019

Information security is a key challenge in today’s information era where a huge volume of data is being generated on the internet as a result of the online transaction. This data needs to be protected from the unauthorized users on the web. Cryptography is used to ensure the confidentiality and integrity of data in the virtual world. The strength of the cryptographic algorithm relies on the complexity involved in retrieving the original content from the unintelligible information. The system proposed in this paper focuses on the use of a different mechanism to increase complexity involved in the cryptanalysis. Different cryptographic techniques are used to create a modified plain text and modified key. The newly generated key is used to encrypt the modified plaintext to generate the ciphertext. From the security analysis, it is evident that the time taken for cryptanalysis by the proposed scheme is more when compared with the existing systems.
Analysis of Stability Improvements by Using Capacitors
Authors: . Yusmartato , Pelawi Zulfadli , . Ramayulis , Krianto Sulaiman Oris , Hasibuan Abdurrozzaq , Asaad Mhd. , Rahman Rambe Muhammad , . Usman , Napid Suhardi
Published: April 2019

The demand for electricity has increased substantially while the expansion of electricity generation, power transmission is very limited, due to environmental restrictions, consequently some transmission lines, limiting power factor. Power flow in the generation system, covering the area of North Sumatra and Aceh which is managed by PT. PLN (Persero), ETAP 4.0 (Electrical Transient Analizer Program) is a program that can display GUI (Graphical User Interface) with unlimited bus number, ETAP 4.0 is useful for Power flow study. The data required by ETAP 4.0 on a generation system is a one-line diagram, nominal kV, and generator, bus, transformer, transmission, and safety rating. The power flow approach method used is the Newton-Raphson method with maximum iteration of 99 and the accuracy of 0.000001. The problem of power flows under consideration is the normal state system, one transmission is disconnected, one of the plants is not operating. The results of the power flow study for each problem obtained the lowest bus voltage, the highest losses in the transmis. The largest power distributed in power plants, new in high voltage transmission, increases the power of power from power to load, changes in voltage problems and improves system stability. This paper aims to verify the capacitor's ability to improve voltage regulation (voltage stability) in electric power transmission systems, from this capacitor simulated using ETAP 4.0 included in Newton-Raphson model.
Variety of Current Power Welding Using Electrode 6013 on Tensile Force of Lower Carbon Metal
Authors: Bakhori Ahmad , R. Harahap Muksin , Napid Suhardi , Rafiq Yanhar Muhammad , Hasibuan Abdurrozzaq
Published: April 2019

The objective of this study is to determine the outstanding tensile value on welding of little carbonate steel electrode 6013/ Ө 2.5 x 350 mm in tensile test. Specimen in tested is a lower carbon steel found in market or sometimes available on welding workshops of plate form. This plate is made refer to Standard Tensile Test specimen ASTM E-8M in thick 5 mm and made plot V 450 in twelve pieces. In welding specimen, inflow current varieties with 60, 80, 100, 120 Ampere and constant power of 20 volt and welding position tilted ranges 600 – 700.  In the test found data the lowest tensile strength is 160.62 Mpa of welding current power 60 Ampere and the greatest tensile force 438.80 Mpa with welding power 120 Ampere whereas welding most adaptable is on 80 Ampere 325.96 Mpa. The power force of welding determined to tensile force due electrode fluid completed and influenced to that lower carbon steel mechanical property.
An improved harmony search algorithm for optimized link state routing protocol in vehicular ad hoc network
Authors: Raad Hammoodi Mustafa , Chandren Muniyand Ravie
Published: April 2019

Vehicle Ad-hoc Network (VANET) is a direct application of Mobile Ad-hoc Network (MANET). Nodes in VANET are vehicles that communicate using vehicle to vehicle (V2V) or vehicle to infrastructure (V2I). These types of communications have led to the emergence of various applications that provide safer driving. Due to the high changing of topology and frequent fragmentation of VANET, routing pack-ets in this type of network is a hard task. In this work, the authors deal with the well-known MANET proactive Optimized Link State Rout-ing protocol (OLSR). The deployment of OLSR in VANET gives the moderate performance; this is due to its necessity of constant ex-changing of control packets. The performance of OLSR is highly dependent on its parameters, thus finding optimal parameters configura-tions that best fit VANETs environment and improves the network is essential before its deployment. Therefore, this research proposes a modified Harmony Search optimization (HSO) by incorporating selection methods in its memory consideration; roulette wheel selection to obtain fine-tuned OLSR for high density and velocity scenario. The experimental analysis showed that the OLSR with the proposed ap-proach acquired promising results regarding packet delivery ratio, end-to-end delay and overhead when compared with previous approaches.
Image Segmentation Using K- Means Clustering Method for Brain Tumour Detection
Authors: Thylashri S , Mahesh Yadav Udutha , Danush Chowdary T
Published: April 2019

Brain tumour is an irregular development by cells imitating among them in an unstoppable way. Specific identification of size and area of Brain tumour assumes a fundamental part in the analysis of tumour. Image processing is a dynamic research territory in which processing of image in medical field is an exceedingly difficult field. Segmentation of image assumes a critical part in handling of image as it helps in the finding of suspicious districts from the restorative image. In this paper a proficient algorithm is proposed for detection of tumour based on segmentation of brain by means of clustering technique. The main idea in this clustering algorithm is to transfer  a given gray-level image and then separate  tumour objects position  from other items of an MR image by using K-means clustering. Experiments say that segmentation for MR brain images can be done to help medical professionals to identify exactly size and region of the tumour located area in brain.
Effect of Shear Reinforcement on the Structural Behaviour of the Reinforced Concrete Deep Beam
Authors: Sai Sri Vidyadhari A , Sri Harsha G
Published: April 2019

The present study explains about the behavior of Deep beams in both experimental and analytical aspect. Considering the maximum moment from the analytical analysis, the Deep beams are designed according to the IS-456[2000] codal provisions. The failure of deep beams is mainly due to shear, which is considered as a catastrophic failure and many studies are being done on their behavior, some studies concluded that strut-tie- method(STM) is most relevant, but the IS-456(2000) code has no provisions regarding the STM. So, in the present study, the reinforcement area obtained in conventional design of deep beams as per IS provisions were arranged in the form of truss. Thus, comparing the behavior of conventional reinforced Deep beams with truss configured Deep beams, and comparing experimental results with analytical results of Deep Beams. The results concluded that the truss reinforced Deep beams shown good results compared to Conventional Deep Beams and IS-456 code need to be updated for the deep beam design in various approaches.
Implementation of Multi-Objective Grey Wolf Optimizer to Minimize The Sidelobes And Reduce Mainlobe Width
Authors: Ravi Kumar K , P. Rajesh Kumar Prof.
Published: April 2019

Range resolution in radar can be achieved by splitting the long pulse of high energy into the high bandwidth of short pulses using pulse compression technique. Frequency modulation (Linear frequency modulation (LFM)) signal is used to improve range resolution. To get better range resolution, frequency step is introduced between a train of LFM pulses known as stepped frequency pulse train (the SFPT). The SFPT suffers from grating lobes when the product of sub-pulse duration and frequency step becomes more than one. The grating lobes and sidelobes present in the vicinity of the mainlobe. It can cause the false alarm detection and hide the small targets. In this work, Multi-Objective Grey Wolf Algorithm (MOGWO) is used to set the parameters of SFPT to mitigate the grating lobes and minimize the sidelobes at the matched filter output. Trade-off solutions between sidelobes versus grating lobes and mainlobe width versus sidelobes are obtained using the Pareto front for different ranges of SFPT parameters.
A Two Way Validation Framework for Cloud Storage Security
Authors: Jyothi Anantula , Indira Baddam
Published: April 2019

High Performance Computing (HPC) has become one of the predominant techniques for processing the large scale applications. Cloud environment has been chosen to provide the required services and to process these high demand applications. Management of such            applications challenges us on three major things i.e. network feasibility, computational feasibility and data security. Several research endeavours are focused on network load and computing cloud date and provided better outcomes. Still those approaches are not able to provide standard mechanisms in view of data security. On the other side, research towards enabling the auditing features on the cloud based data by various researchers has been addressed but their performance is poor. However, the complexity of the audit process proven to be the bottleneck in improving performance of the application as it consumes the computational resources of the same application. Henceforth, this work proposes a novel framework for cloud data auditing at multiple levels to audit the access requests and upon             validating the conditions of one level, the connection request will be moved to the further complex levels in order to reduce the              computational loads. The proposed framework determines a substantial reduction in the computational load on the cloud server, thus improves the application performance leveraging the infrastructure use.
Functional Verification Architecture Implementation for Power Optimized FIR Filter
Authors: Shaik Samdhani , Balanagu P
Published: April 2019

Digital-filters are having universal for audio applications. So that, great digital-filter execution ought to be taken as an imperative for outline of audio system Applications. The utilization of accuracy with limited in Digital filters for speaking to signals which likewise contrast from that of simple filters as computerized filters utilizing a limited exactness number juggling for registering the filter reaction. Here, FIR-filter has been actualized in Xilinx ISE utilizing VERILOG dialect. VERILOG coding for FIR-filter has been actualized here too waveforms are additionally seen in the reproduction.Viper comprises of less weight as contrasted and multipliers as far as silicon territory and this plays a profitable in FIR structure. This paper has picked multipliers as stall and Wallace and the taken the adders as convey spare and convey skip. In this paper it needs to build up a RTL in the purpose of structures and check the usefulness of structures contrasted and playing out the union utilizing Xilinx synthesizer. The outcomes were thought about regarding region (LUT'S), power, deferral and memory for different fir structures.
Detecting Meta-Patterns from Frameworks Using Hybrid Genetic Algorithm
Authors: Kant Tapan , Gupta Manjari , Kumar Tripathi Anil , Prakash Meeta
Published: April 2019

Meta-patterns are a sort of basic object-oriented constructs that have been used to design an object-oriented framework. It has been used to precisely describe possible design pattern of a framework at meta-level to manifest framework hot-spots and its corresponding adaptability. The present study is an attempt to develop a genetic algorithm approach for detecting the types and numbers of meta-patterns. For this purpose we have converted the UML class diagram of object-oriented framework and meta-patterns into directed graph and applied hybrid genetic algorithm. The obtained results from the proposed algorithm are further validated manually with the recall and precision percentage of 86.20 and 80.64 respectively. Overall the study demonstrates the utility of the uniquely proposed algorithm for the near accurate identification of meta-patterns for high reusability. This can be applied on frameworks for assessing the evolution process, documentation of hot-spots and reducing the customization effort.
Electro arthrography: Recording Electrical Potentials At the Elbow Joint
Authors: Divakaran Sindu , Janney J Bethanney , R Priyanga , Jalagam Sindoora , R C Ramya , R Shakthi
Published: April 2019

Electroarthrography (EAG) is a recent technology proposed to detect cartilage degradation. It is used to record electrical potentials generated on the surface of elbow while the joint undergoes compressive loading. The aim of this work is to understand the generation of EAG signals and to differentiate between the healthy and unhealthy elbow based on its cartilage degradation. It has been found that EAG signals originate from the cartilages based on the simulated and measured potential values distributions. Unhealthy cartilages produce varying current density with specific potential distribution. EAG signals can be used as a clinical tool to diagnose bone and cartilage degradation.
Early detection of joint abnormalities from ultrasound images
Authors: J. Hemalatha R , V. Vijaybaskar Dr , Josephin Arockia Dhivya A , . .
Published: April 2019

Musculoskeletal ultrasound is effective for the early detection of joint abnormalities like erosion, effusion, synovitis and inflammation. Computer software is developed for segmentation of joint ultrasound image to diagnose the defect. The objective of developing this paper is to achieve early diagnosis of joint disorders by segmentation of ultrasound image with different algorithms. Ultrasound machine with high resolution probe can be used for development & findings of joints by the orthopaedician, rheumatologist and sports physician. These find-ings are done by processing the ultrasound images of patient joint using modern image processing techniques. Therefore algorithms has been designed and developed for analysis of medical images that is musculo ultrasound image based on optimization approach, using genet-ic algorithm and PSO algorithm. To improve the better quality of the image many improvisation techniques have been introduced. Hence, these algorithms perform better segmentation and identification of joint abnormalities. The analysis of ultrasound image is directly based on image segmentation steps, pre-processing, filtering, feature extraction and analysis of these extracted features by finding the output using different optimization techniques. In proposed method, efforts have been made to exhibit the procedure for finding and segmenting the mus-culoskeletal images of abnormal joints. The present approaches are segmentation operation on ultrasound images by applying genetic and PSO algorithm. The comparison between these algorithms is done, such that the algorithm itself analyses the whole image and perform the segmentation and detection of abnormalities perfectly