bluuebunny/crossref_metadata_2025 huggingface dataset:
Misconceptions Surrounding Penicillin Allergy: Implications for Anesthesiologists
Authors: Vorobeichik Leon , Weber Elizabeth A. , Tarshis Jordan
Published: May 2018

Administration of preoperative antimicrobial prophylaxis, often with a cephalosporin, is the mainstay of surgical site infection prevention guidelines. Unfortunately, due to prevalent misconceptions, patients labeled as having a penicillin allergy often receive alternate and less-effective antibiotics, placing them at risk of a variety of adverse effects including increased morbidity and higher risk of surgical site infection. The perioperative physician should ascertain the nature of previous reactions to aid in determining the probability of the prevalence of a true allergy. Penicillin allergy testing may be performed but may not be feasible in the perioperative setting. Current evidence on the structural determinants of penicillin and cephalosporin allergies refutes the misconception of cross-reactivity between penicillins and cefazolin, and there is no clear evidence of an increased risk of anaphylaxis in cefazolin-naive, penicillin-allergic patients. A clinical practice algorithm for the perioperative evaluation and management of patients reporting a history of penicillin allergy is presented, concluding that cephalosporins can be safely administered to a majority of such patients.
Effects of Intraoperative Opioid Use on Recurrence-Free and Overall Survival in Patients With Esophageal Adenocarcinoma and Squamous Cell Carcinoma
Authors: Du Kim N. , Feng Lei , Newhouse Abigail , Mehta Jeel , Lasala Javier , Mena Gabriel E. , Hofstetter Wayne L. , Cata Juan P.
Published: May 2018

BACKGROUND:

Perioperative opioid use is associated with poor survival in patients with esophageal squamous cell carcinoma. The most common histological type of esophageal cancer in western countries is adenocarcinoma. The objective of this study was to evaluate the association between intraoperative opioid consumption and survival in patients with adenocarcinoma and squamous cell carcinoma of the esophagus.

METHODS:

Records of patients who had undergone esophageal cancer surgery between January 2000 and January 2017 were reviewed. Comparisons were made between patients who received high versus low intraoperative doses of opioids. Groups were divided using the recursive partitioning method. Multicovariate Cox proportional hazards models were fitted to evaluate the impact of intraoperative opioid use on recurrence-free survival (RFS) and overall survival (OS).

RESULTS:

For patients with esophageal squamous cell carcinoma, the univariable analysis indicated that lower opioid dosages (<710 μg fentanyl equivalents) were significantly associated with worse RFS (P = .009) and OS (P = .002). With the adjustment of age, stage, and adjuvant chemotherapy, multivariable analysis confirmed significant associations between higher dosages of intraoperative fentanyl equivalents and better RFS (P = .002; hazard ratio [HR], 0.376; 95% confidence interval [CI], 0.201~0.704). Likewise, higher intraoperative fentanyl equivalents administered was associated with improved OS (P = .002; HR, 0.346; 95% CI, 0.177~0.676). In the adenocarcinoma population, the association between intraoperative opioid dosage and RFS (P = .15) or OS (P = .36) was not significant from univariable analysis. With the adjustment of age, body mass index, tumor staging, neoadjuvant chemotherapy, and adjuvant chemotherapy, multivariable analysis demonstrated marginal significant association between intraoperative fentanyl equivalents and RFS (P = .0866; HR, 0.806; 95% CI, 0.629~1.032). The association between intraoperative fentanyl equivalents and OS was not significant (P = .51).

CONCLUSIONS:

The results of this study indicate that the amounts of intraoperative opioids used are associated with recurrence and OS in patients with esophageal squamous cell carcinoma. The association between the dose of intraoperative opioids used and RFS was marginally significant in patients with adenocarcinoma. Until confirmation on our findings by future studies, opioids should continue to be a key component of balanced anesthesia in patients with esophageal cancer.
The use of PrP transgenic Drosophila to replace and reduce vertebrate hosts in the bioassay of mammalian prion infectivity
Authors: Thackray Alana M. , Andréoletti Olivier , Bujdoso Raymond
Published: May 2018

Prion diseases are fatal neurodegenerative conditions of humans and vertebrate species. The transmissible prion agent is a novel infectious particle composed principally of PrPSc, an abnormal isomer of the normal host protein PrPC. The only reliable method to detect mammalian prion infectivity is by bioassay, invariably in a vertebrate host. The current prion bioassays typically involve intracerebral or peripheral inoculation of test material into the experimental host and subsequent euthanasia when clinical signs of terminal prion disease become evident. It may be months or years before the onset of clinical disease becomes evident and a pre-determined clinical end-point is reached. Consequently, bioassay of prion infectivity in vertebrate species is cumbersome, time consuming, expensive, and increasingly open to ethical debate because these animals are subjected to terminal neurodegenerative disease. Prions are a significant risk to public health through the potential for zoonotic transmission of animal prion diseases. Attention has focussed on the measurement of prion infectivity in different tissues and blood from prion-infected individuals in order to determine the distribution of infectious prions in diseased hosts. New animal models are required in order to replace or reduce, where possible, the dependency on the use of vertebrate species, including the ‘gold standard’ mouse prion bioassay, to assess prion infectivity levels. Here we highlight the development of a Drosophila-based prion bioassay, a highly sensitive and rapid invertebrate animal system that can efficiently detect mammalian prions. This novel invertebrate model system will be of considerable interest to biologists who perform prion bioassays as it will promote reduction and replacement in the number of sentient animals currently used for this purpose. This article is a composite of previous methods that provides an overview of the methodology of the model and discusses the experimental data to promote its viability for use instead of more sentient hosts.
TO THE QUESTION OF CONTROL OF THE TEMPORARY WATER FLOW MOVEMENT ON THE AGROLANSCAPES OF SLOPE LANDS
Authors: Васильев Сергей , Vasil'ev Sergey , Максимов Иван , Maksimov Ivan , Васильев Алексей , Vasilev Aleksey , Мишин Петр , Mishin Petr
Published: May 2018

The article deals with the movement of a water stream on a slope, with the main regularities connecting the parameters of the flow and the underlying surface, caused by the action of the driving forces and the forces of resistance to movement. The impact of these forces, which ensure the acceleration or deceleration of the water flow in view of the flow velocity, can be represented in the form of a power balance. In the analysis of the water flow, the equation of motion of the temporary water flow is obtained, which allows solving the following main tasks: analysis of the possibility of water flow on certain underlying surfaces, determination and analysis of flow parameters during acceleration, braking or even motion, and others. Also, this equation can be used in solving inverse problems, for example, in determining the coefficient of hydraulic roughness, the potential of erosion resistance, and other parameters of the stokoforming surface. The analysis allows to judge the possibility of influencing the water flow with various anti-erosion underlying surfaces with a given hydraulic roughness and other obstacles, resulting in an effective control of the movement of the temporary water flow.
ASSESSMENT OF BARLEY VARIETIES, CULTIVATED IN TATARSTAN, ON CROP PRODUCTIVITY AND GRAIN QUALITY
Authors: Ганиева Ирина , Ganieva Irina , Блохин Василий , Blokhin Vasiliy , Дюрбин Денис , Dyurbin Denis
Published: May 2018

The estimation of Raushan variety of barley and the new Kamazhevsky variety, which was regionalized in Tatarstan in 2017, is given. The experiment revealed the influence of weather conditions and varieties during the years of research (2015-2017), on the formation of grain productivity, the content of total nitrogen in the aboveground mass of plants, the accumulation of protein in grain and gross harvest of protein per hectare. It is noted that the productivity for different years are different, the highest yields of grain of Raushan and Kamashevsky varieties were obtained in 2017 - 4.62 and 5.21 tons per hectare, respectively, when the hydrothermal coefficient was 1.3 units. In comparison with 2015 the productivity of Raushan variety was higher to 1.89 tons per hectare and to 1.69 tons per hectare in 2016. The same pattern was also found in Kamashevsky variety, 1.64 and 1.52 tons per hectare, respectively. The average productivity of Raushan variety for 3 years was 3.43 tons per hectare, less to 0.73 tons per hectare than Kamashevsky. The highest nitrogen content (close to the optimum 4.7-5.1%) in the aboveground mass was found in 2016 in plants of Raushan variety of 4.3%, Kamashevsky variety 4.0%, whereas in 2017 - 2.89% and 3.32%, respectively. The nitrogen content in dry years is higher in the aboveground mass of the Raushan variety, beginning with the tillering phase - 4.3%, Kamashevsky variety - 4.0%. It was revealed that the maximum content of protein in grain grade Kamashevsky accumulate in arid 2015-2016 years - 13.84%, more by 0.95% than the Raushan variety. In 2017 the protein content in the grain was formed at the same level Raushan 11.77%, Kamashevsky 11.07%. Evaluation of varieties on the gross harvest of protein per hectare, shows that the Kamashevsky variety forms on average 5.37 tons per hectare of protein over 3 years, more than Raushan grade by 1.08 tons per hectare.
UNIVERSIADA - A NEW VARIETY OF WINTER WHEAT FOR MIDDLE VOLGA
Authors: Фадеева Ирина , Fadeeva Irina , Тагиров Марсель , Tagirov Marsel , Газизов Ильяс , Gazizov Ilyas
Published: May 2018

The article presents a description of the new winter soft wheat variety - Universiada. The Universiada variety was created by the method of intraspecific hybridization with subsequent individual selection from the hybrid population: (Kazanskaya 285 x Omskaya winter) x Kazanskaya 285. Variety is erythrospermum. The variety is medium-ripening. For the years of competitive testing the productivity of the variety was 5.62 tons per hectare (+ 0.58 tons per hectare to the yield of the standard). It is included in the list of worth quality wheat grain. The variety is resistant to lodging. This variety is recommended for use in the Middle Volga region of the Russian Federation. Universiada gives stable harvests of grain when cultivating on a clean and busy steam with a typical crop for agriculture. When 1 kg of active ingredient of nitrogen is applied, it gives an increase from 9 to 12 kg of grain, which indicates the high responsiveness of the variety for the application of mineral fertilizers. Employees of the institute created a group of winter wheat varieties, characterized by increased adaptive properties and stable grain quality: Kazanskaya 560, Nadezhda and Darina. For the last 15 years in the Republic of Tatarstan, the cultivation areas of winter wheat have increased to 342.5 thousand hectares.
DETERMINATION OF DISPLACEMENT TRAJECTORIES AND FALLING TIME OF HINGEDLY FIXED WORKING UNITS OF AGRICULTURAL MACHINES
Authors: Акимов Александр , Akimov Aleksandr , Константинов Юрий , Konstantinov Yuriy , Мазяров Владимир , Mazyarov Vladimir
Published: May 2018

The solutions of many problems of agricultural engineering are expressed through special functions. In particular, such problems include the problem of determining the displacement trajectories and the falling time of the hingedly working units of agricultural machines, when the suspension axis moves horizontally at a certain speed. Such working device include: a stacker valve, falling after release from the shock, a beam of transverse rakes, that falls after the release of the roll and others. The solution of such problems is to determine the motion time of a physical pendulum to a given angular position, which is expressed in terms of elliptic integrals. And although elliptic integrals are a well-studied class of functions, in many cases an approximate solution of similar problems in elementary functions is quite sufficient both from the point of view of practical application and convenience of use. In addition, this approach makes it possible to determine the approximate law of motion of a physical pendulum in an explicit form, which makes it easier to set and solve problems of optimizing the operating modes and parameters of the above-mentioned working units. By estimating the integral, such an approximate law of motion of a mathematical pendulum was obtained. Its accuracy is sufficient for engineering practice. The obtained formula for the oscillation period of a pendulum with a large amplitude makes it possible to determine the falling time of the hinged working units of agricultural machines with high accuracy.
Metal and sexism
Authors: Hill Rosemary Lucy
Published: May 2018

The broad genre of hard rock and metal is often depicted, both in media portrayals and academic accounts, as particularly sexist, its male dominance and hypermasculinity alienating for women. In this article I draw on my research which aims to understand women’s experiences as fans of the genre within the context of assumptions of sexism. I interviewed British women who were fans of bands across the broad genre of hard rock and metal. Here I pay particular attention to women’s experiences at hard rock and metal events and their encounters with sexism. My participants depicted hard rock and metal as less sexist than a generalized ‘mainstream’. I argue that the contradiction between academic accounts and fan accounts of sexism is due to the subtle ways in which sexism manifests and also down to a mythical sense of ‘equality’ that exists within metal culture. However, I posit that, in accordance with feminist methodological work, it is vital to take women’s words seriously and to acknowledge the broader significance of metal in their everyday lives. This means that we must contemplate that, in distinction to some academic accounts, metal might actually be a culture that is relatively free from sexism.
An Indian Perspective on the adverse impact of Internet of Things (IoT)
Authors: Kethareswaran V.
Published: May 2018

The Internet of Things (IoT) has opened up a new era of computing where by every imaginable object is equipped with, or connected to a smart device allowing data collection and communication through the Internet. The IoT challenges individual privacy in terms of the collection and use of individuals’ personal data. This study assesses the extent to which the IoT has an adverse effects on Indian Society.  A review of various policies and laws formulated and enacted by the Govt. Of India where taken into account and various conclusions were derived based on the analyzed facts. Findings indicate that (1) the Indian policies and Laws pertaining to IoT and cyber issues are not enough to provide stiff opposition to the current pretext of fear and mishappenings and (2) future legislations must consider the implications of global reach of IoT services with respect to its citizen’s well-being.
Development of a Graphical Tool to integrate the Prometheus AEOlus methodology and Jason Platform
Authors: Cunha Rafhael
Published: May 2018

Software Engineering (SE) is an area that intends to build high-quality software in a systematic way. However, traditional software engineering techniques and methods do not support the demand for developing Multiagent Systems (MAS). Therefore a new subarea has been studied, called Agent Oriented Software Engineering (AOSE). The AOSE area proposes solutions to specific issues related to the development of agent oriented systems. There are several methodologies to model MAS, however, until now, there is not a standard modelling language because they are very complex systems, and involve several different concepts. Another issue of this subarea is that there are very few tools that are able to automatically generate code, reducing its acceptance in the software development market. In this work, we propose a tool to support the Prometheus AEOlus Methodology, because it provides modelling artifacts to all MAS dimensions proposed by ~Demazeau: agents, environment, interactions and organization. The tool supports all Prometheus AEOlus artifacts and it can automatically generated code to the agent and interaction dimensions in the AgentSpeak(L) language, which is the language used in the Jason platform. We have done some validations with the proposed tool and a case study is presented. Our results indicate that our tool has full compatibility with the Jason platform, and it is able to automatic generate code in AgentSpeak(L). As future work, we intend to develop the integration of the artifacts with the JaCaMo framework, enabling a full integration between our tool and the Prometheus AEOlus methodology.
Human Rights in the Ethical Protection of Youth in Social Networks- The Case of Colombia and Peru
Authors: Espinosa Vera Jefferson Stewart
Published: May 2018

This work analyzes incidents of information technology and communications in the sphere of freedoms beginning with social contemporaneous changes.  Later it will analyze the problems with chat and young people in the environment of parental education in the new technologies.  Likewise, you can observe the importance of the legislation trying to protect kids, young people, and adolescents in their freedom, integrity and sexual development that can be made vulnerable by cyber criminals that look through different portals of the internet, to trick this special class of our population that must be protected constitutionally and criminally. Looking at this cyberspace framework that has revolutionized the world; and to be someone who uses it daily, it is of vital importance to have special care with children in respect to the use of this type of advanced technological tool, the role that parents, tutors, and society play is of great importance such that, they should grant space spaces where the youth can be guarded or guided to prevention so they don’t become victimized by cyber-crime.  Also one of our points will speak of the risks associated with the web,  INFOethics, parental education, and especially the general situation with regards to legislation in Colombia and Peru, as it is urgent that both countries take established  and preventative measures with regards to the criminal law of each state, due to the vulnerable intimacy of social networks,  and therefore because what is most being affected is the youth,  which gravely affects their psychosomatic and social development, because there does not exist a correct or suitable use for cyberspace.
Fertility recovery in patients with non-classical congenital adrenal hyperplasia caused by 21-hydroxylase deficiency
Authors: Soboleva Elena L. , Osinovskaya Natalia S. , Tkachenko Natalia N. , Baranov Vladislav S. , Tarasova Marina A.
Published: May 2018

Background. Very little research has been devoted to the studying fertility problem in nonclassical congenital adrenal hyperplasia (NCAH) due to 21-hydroxylase deficiency. It is difficult to draw definitive conclusions regarding the need for glucocorticoid therapy in NCAH women based on limited data. Therefore, evaluating fertility in patients with NCAH and exploring the possibility of correcting its disturbances seemed to us to be a matter of importance.
Aims — to evaluate the reproductive function of patients with NCAH and explore potential treatments for this disorder.
Materials and methods. The study group included 60 patients with NCAH aged between 18 and 33 years old. NCAH was diagnosed based on early-morning serum 17-hydroxyprogesterone (17-OHP) levels above 30 nmol/l or 17-hydroxyprogesterone levels after ACTH stimulation above 26 nmol/l and/or characterized by molecular analysis of the CYP21A2 gene. Ultrasonography of the uterus and ovaries were performed in the cycle’s follicular phase. Total testosterone, dehydroepiandrosterone sulfate (DHEAS), Androstenedione, 17-OHP and Progesterone was measured.
Results. Overall, the patients complained of menstrual cycle disorders (60%), infertility — (28%), hirsutism — (63%). Prior to being diagnosed with NCAH, Thirty-four women sought care because of infertility or recurrent miscarriages. Seventeen women (50%) had miscarriages; later on, five of them developed secondary infertility. Two patients became pregnant without treatment being already diagnosed and progressed to delivery. Once the diagnosis of NCAH was made, 58 women started receiving glucocorticoid therapy, Thirty nine (67%) women became pregnant while on glucocorticoid therapy. Thus glucocorticoid therapy reduced the miscarriage rate from 50 to 10.3%; р<0.001. There was no difference in the miscarriage rate between patients who received or quit glucocorticoid therapy during pregnancy.
Conclusions. Glucocorticoid therapy is a highly efficacious method of fertility restoration in NCAH patients. Use of glucocorticoids during pregnancy planning significantly reduced the miscarriage rate. No difference in pregnancy outcome between the patients who received glucocorticoid therapy during pregnancy as opposed to those who did not indicates the advisability of treatment discontinuation once pregnancy is determined.
Somatostatin receptor expression in adrenocortical carcinomas
Authors: Voronkova Iya A. , Gurevch Larisa E. , Britvin Timur A. , Krivosheev Alexey V. , Mel’nichenko Galina A.
Published: May 2018

Background. Adrenocortical carcinoma (ACC) is a rare malignant tumor characterized by an annual incidence of 0.5—2 cases per million population. Surgery is the-first line treatment for ACC. When total tumor resection is not possible due to its proliferation or progression, mitotane (o,p’DDD) is used. In this case, stabilization and partial response (as assessed by RECIST criteria) was observed only in 48.7% of cases, necessitating the search for new therapeutic targets.
Objective — the study was aimed at assessing the somatostatin receptor expression in adrenocortical carcinomas and adrenal cortex tumors with uncertain malignant potential.
Material and methods. Surgical material from adrenocortical tumors of 13 patients (4 males and 9 females aged from 28 to 68 years) was used. In all cases, the diagnosis was verified by morphological and immunohistochemical (IHC) studies: ACC was detected in 10 cases (including 1 case of ACC liver metastasis), oncocytic carcinoma — 1 case, oncocytoma with uncertain malignant potential — 2 cases. Morphological assessment of ACC was carried out according to Weiss criteria (for ACC tumors) and Lin—Weiss—Bisceglia criteria (for oncocytic neoplasms of the adrenal cortex). IHC study was carried out with antibodies to the spectrum of adrenal cortex-specific markers, as well as Ki-67 and somatostatin receptors 2 and 5 (SSTR2 and SSTR5).
Results. The expression of SSTR2 and/or 5 was detected in 8 (61.5%) of 13 cases of ACC. Isolated SSTR2 expression was observed in 4 cases (4/13), while SSTR5 expression was observed in 6 cases (6/10). In 2 cases (2/10), co-expression of both receptor types was observed. SSTR expression was observed both in ACC and ACC liver metastasis, as well as in oncocytic ACC.
Conclusion. SSTR2 and/or 5 expression in ACC tissue expands diagnostic and prognostic capabilities for this pathology.
An adaptive sentimental analysis using ontology for retail market
Authors: Mannar Mannan J , J Jayavel
Published: May 2018

The growth of digital documents on web becomes the massive sources for online market analyzing at broad level. The study of market research over online incorporating new parameter called sentiment analysis.  The sentiment analysis plays a crucial role for identifying behavior of customers by means of natural language processing from customer feedback about product or services.  The opinion mining have done from the user data over web related activities such as search history, blog activities, forums, comments on the social network, express the opinion about the concept/product and suggestion or recommendations. The present system is non-adaptive relation identification system works on existing, predetermined set of relations and it cannot identify the new type relation for opinion mining. The existing system are also neglected the static sentiments of users. This paper proposed ontology based adaptive sentiment analysis system for extracting new features added on the user space. In our work, the ontology and 3D space clustering framework which allows incorporation of domain knowledge for predicting sentimental analysis via opinion mining.
Review on high utility itemset mining algorithms for big data
Authors: Dalal Sandeep , Dahiya Vandna
Published: May 2018

This paper has been withdrawn.
Image retrieval techniques: a survey
Authors: Dureja Aman , Pahwa Payal
Published: May 2018

In the recent years, the development in computer technologies and multimedia applications has led to the production of huge digital images and large image databases, and it is increasing rapidly. There are several different areas in which image retrieval plays a crucial role like Medical systems, Forensic Labs, Tourism Promotion, etc. Thus retrieval of similar images is a challenge. To tackle this rapid growth in digital repositories it is necessary to develop image retrieval systems, which can operate on large databases. There are basically three techniques, which is useful for efficient retrieval of images. With these techniques, the number of methods has been modified for the efficient image retrieval of images. In this paper, we presented the survey of different techniques that has been used starting from Image retrieval using visual features and latest by the deep learning with CNN that contains the number of layers and now becomes the best base method for retrieval of images from the large databases. In the last section, we have made the analysis between various developed techniques and showed the advantages and disadvantages of various techniques.
Low power and high fault coverage SIC reseeding TPG using x-filling techniques for Scan BIST
Authors: Hussain Sabir
Published: May 2018

This paper has been withdrawn.
A novel algorithm to moderate the cost of scrutinized paths
Authors: Prasuna Grandhi , Naga Raju O. , Hari Kishan C.
Published: May 2018

Software testing is all too often simply a bug hunt rather than a well-considered exercise in ensuring quality. More methodical models than a simple cycle of system-level test-fail-patch-test will be required to deploy safe autonomous vehicles at scale. There are many types of software testing is used to test software. Efferent systems and procedure are proposed for dealing with these issues. Utilization of transformative calculations for programmed test generation has been a territory of intrigue. This assignment should be possible on a premise of the Ant Colony Optimization method (ACO) of Swarm Intelligence as it isn't profoundly contemplated yet. Intends to locate the most limited way and Resolve the time issue. We are building up extra particular way to deal with testing by concentrating on those parts that are most critical so these ways can be tried first recognizing the most huge ways, the testing productivity can be expanded. Great results are discovered astoundingly expediently when GA is actualized. Producing an improved test suite (TS) is meta-heuristic issue, which can be settled by GA. The only objective of programming is not to determine the algorithm to accomplish a result but relevance and correctness of the result. Also, Furthermore, to be ascertained. Genetic Algorithm is a meta-heuristic algorithm, is employed for optimizing path testing to achieve total code coverage.
Software – defined networking based secure rout-ing in mobile ad hoc network
Authors: Prasad B. V. V. S. , Salman Ali Sd.
Published: May 2018

Traditional communication networks can be leveraged by separating controlling functions from forwarding functions using emerging technology known as Software Defined Networking (SDN). Though SDN has been around for some years, it was mostly limited to wired networks. Of late, it is being adapted to wireless networks. The programmable interface with decoupled controller can be used with MANET to integrate with other networks besides controlling it well. Both control and security are inevitable for the successful implementation of SDN in wireless networks. Towards this end, in this paper we implemented SDN based MANET for secure routing. Open Flow is used for implementing SDN controller while IDC is used for securing communications. Our framework is evaluated with NS3 simulations that reveal significant performance improvement when compared with traditional ad hoc networks that do not use SDN. This is achieved as SDN controller can quickly adapt to changed topologies due to node mobility.
Diagnosis of lesion with statistical method of Anova1 & two ways for multi-MRI images with format. dicom
Authors: El Kourd Kaouther , . Atianaoual , Bouaicha Abdenour , Benkraouda Souleyman
Published: May 2018

This paper deals with real time surface detection for image processing and analysis. We propose an appropriate analysis method with analysis of variance two ways to detect all surfaces of images in accuracy time. The results indicate that Anova_2 converged to the solution in accuracy time in comparison with Anova_1 for linear model.
Identification of suitable websites for digital marketing – an approach using bio-inspired computing
Authors: Suresh Kumar B. , Bharghava Deepshikha , Kumar Kar Arpan , Peace Igiri Chinwe
Published: May 2018

Due to the immense growth of Internet usage, the point of convergence has moved from physical to the web. The size of the web is increasing at a very fast pace to cater to the fast-evolving needs of the businesses, governments, and societies. However, selecting or identifying the best website is challenging. The practical issue to solve the problem comprises two parts. The first part is to identify the assessment criteria for appraising websites. Second is to evaluate the websites in the context of these assessment criteria and screen them to address a specific need. However, this objective is extremely complex and computationally extremely expensive. This research proposes an approach to identify websites from the Internet. The proposed integrated approach uses the Henry Garrett ranking method and cuckoo search algorithm for ranking and selection of websites for planning digital marketing campaigns.
The strategy of simulation effects of wind speed, variation of turbine blades and it’s interaction to power generated by vertical axis wind turbine using NACA 2412
Authors: Purwono Bambang Sugiyono Agus , . Masroni , Setiawan Awan , Subali Patma Tundung , Bagus Suardika Ida
Published: May 2018

The objective of this paper is to simulate the effects upon the wind speed, variation of turbine blades and interaction of wind speed and variation of turbine blades to the power capacity generated by Vertical Axis Wind Turbine (VAWT) using NACA 2412 and to stratify the power capacity generated by the VAWT simulation. The research backgrounds are the wind-energy potential in Indonesia is about 9.290 MW and has already elaborated by Ministry of Mining, and Energy Resources is about 50 MW. This wind energy is environmentally (clean energy), economically (cheapest), easy to operate and easy to maintain, also renewable energy. The method of analysis is quantitative approach using two way classification (analysis of variance or design of experiments). The research variables are wind speed, variation of turbine blades and this interaction among independent variables and the power capacity as dependent variables. Data wind speed simulation vary from 3 m/s till 6 m/s. The quantity of turbine blades vary from 3 till 8 units. The finding from this research is accepted the null hypothesis or not differ significantly at 5% from each independent variable. The scenario and the parameters during the strategy development use turbine blades, wind speed and power generated by VAWT and the maximum power generated is 16.38 watt. The wind speed is 6 m/s and the number of turbine blade is 4 units. However, the minimum power generated by VAWT is 0.45 watt, the wind speed is 6 m/s and the number of turbine blade is 3 units.
An improved wrapper-based feature selection for efficient opinion mining
Authors: Moorthi N Prasanna , V Mathivanan
Published: May 2018

Opinion mining analyses people’s opinions, evaluations, sentiments, attitudes, appraisals and emotions to entities like products, organizations, services, issues, individuals, topics, events and their attributes. It is a large problem space having high feature dimensionality. Feature extraction is important in opinion mining as customers do not usually express product opinions totally, but separately based on individual features. Two tasks should be accomplished in feature-based opinion mining. First, product features on which reviewers expressed opinions must be identified and extracted. Second, opinion orientation or polarities must be determined. Finally, opinion mining summarizes extracted features and opinions. In this work a novel wrapper based feature selection mechanism using concept based feature expansion is proposed. The wrapper based technique uses the principles of evolutionary algorithms.
Survey on QoS metrics and ranking in cloud services
Authors: P Rajeswari , K Jayashree
Published: May 2018

The Cloud Computing uses high speed broadband for good Quality of Service (QoS) so that Cloud based application can be used with high speed which entails the minimum response time, less latency rate and reduced amount of loss of packets. Because of the ample range within the delivered Cloud solutions, from the customer’s aspect, it's emerged as irksome to decide whose providers they need to utilize and then what's the thought of his or her option. Bestowing suitable metrics is vital in assessing practices. QoS metrics are playing an important role in selecting Cloud providers and also revamping resource utilization efficiency. To guarantee a specialized product is published, describing metrics for assessing the QoS might be an essential requirement. To obtain high quality Cloud applications, Optimal Service Selection is needed. With the increasing number of Cloud services, QoS is usually selected for describing non-functional characteristics of Cloud services. In this paper, a widespread survey on QoS metrics for service vendors and QoS Ranking in Cloud Computing is presented.
ROAC: Recursive optimization of Ant colony assisted perturb and observe for a photo voltaic resonant boost converter
Authors: R Selvakumar , Sujatha M , Palanikumar S
Published: May 2018

This paper introduces a new Hybrid MPPT algorithm by combining new Ant Colony Optimization (ACO) and Perturb & Observe (P&O) method. The maximum power from a solar panel is extracted from all conditions like solar irradiance variation, temperature variation and partial shading conditions. Ant Colony Optimization (ACO) method tracks maximum power from panel under all variations and Perturb & Observe algorithm used in final stage to achieve faster MPP tracking. This proposed algorithm is implemented both in Simulink and hardware. A 5kWp grid connected solar photovoltaic power plant is designed and implemented for the 15 stage 31 level Cascaded Multilevel Inverter (CMLI) with the Selective harmonic elimination algorithm. From the analysis of results, it is found that the proposed hybrid MPPT provides higher MPP tracking performance in any weather conditions compared with other MPPT algorithms
Design and implementation of labview based bore well child rescue robot
Authors: Sujatha M , Prabakaran N , R Selvakumar
Published: May 2018

An innovative method is proposed for rescuing a child from a borehole and to keep the child in conscious state. Children accidentally fall into the borehole which yielded water and subsequently left uncovered. A suitably strong cap of bright color to cover the mouth of the borehole will avoid such accidents. It is difficult and also risky process to rescue the trapped child after fallen into the borehole. In this paper, a robot is designed in such a way that it handles the trapped child carefully and monitors the child continuously. The robot structure consists of power supply, gear motors, oxygen concentrator, camera and micro controller, robotic arms, temperature sensor, audio player which has parents voice, heart beat monitoring system, lifting rods, servo motors. The condition of the child is captured with CCTV camera and monitored on a TV.The proposed system is implemented using NI LabVIEW software. This robot type machine can rescue trapped body from the borehole in a highly secure way
Mapping the vegetation soil and water region analysis of Tuticorin district using Landsat images
Authors: J Cynthia , M Suguna , S Senthil
Published: May 2018

Mapping of water bodies, soil and vegetation region from satellite imagery has been widely explored in the recent past. Several approaches have been developed to detect water bodies and identify the soil types from different satellite imagery varying in spatial, spectral, and temporal characteristics. Due to the introduction of a New Operational Land Imager (OLI) sensor on Landsat 8 with a high spectral resolution and improved signal-to-noise ratio, the quality of imagery sensed is increased. Its imagery produces a better result in classifying the soil and water regions. The current study puts forward an approach to map water bodies, soil and vegetation region from a Landsat satellite imagery using the various processing models. In this study, to identify the water region and soil region, we go with water index, vegetation index and soil index measures. By using reflectance bands, it is easy to analyze the water, vegetation and soil regions. The proposed method accurately and quickly discriminated the water, vegetation and soil region from other land cover features.
Modern control scheme for Z-Source inverter based PV power generation systems
Authors: Palanikumar S , R Selvakumar , Sivakannan S
Published: May 2018

Z-source inverter (ZSI) based photovoltaic power conversion system (PV-PCS) provides both the DC link voltage boost and DC-AC inversion in single stage with added features. Traditional maximum power point tracking (MPPT) control algorithm generates the required shoot-through interval to output maximum power to the Z-network. At this instant, the voltage across Z-source capacitor is equal to the MPP voltage of PV array. The capacitor voltage cannot be further increased if it is demanded by the load. This paper presents an improved MPPT control algorithm along with modified MPPT algorithm to achieve both the MPPT as well as capacitor voltage control at the same time. Development and implementation of the proposed algorithm has been carried out by Matlab/Simulink software and the results are provided.
Multiple data linkage using SSCCT for direct and semantic matching pair
Authors: Mannan J Mannar , J Jayave , M Sundarambal
Published: May 2018

Data Linking is a method of integrating multiple data items located on different sources and establishing links among entities of the same type or semantically relevant type. It is necessary to develop the data linkage techniques for different and semantically related items for interconnecting multiple data sources. In this paper, multiple data linkage is used to establish relation between matching entities of different types that are semantically related. The proposed method used Semantically Similar Class Clustering Tree (SSCCT) for implementing multiple data linkage. The SSCCT is built in such a way that it is easy to understand and can be transformed into association rules which are verified using WordNet ontology. The data source properties are represented as tree and the inner node, which consists of features from the first data set. The leaves of the tree represent features from the second data set that is matching with the first data set entities. The proposed method used semantic similarity estimation for pre-pruning process which is used to create Semantically Similar Class Clustering Tree effectively. Threshold value is used for decision making either the record pair is match or non-match.
Analysis of Security Issues for the Internet of Vehicles in India
Authors: Nithyanantham S , S.Kannimuthu Dr
Published: May 2018

Internet of Vehicles is a popular one in this decade which plays a vital role in automobile industry. Where most of the vehicles used for public and private are integrated with various sensors and transistors which will be core essential for an intelligent vehicle a steady growth. In vehicles, the quantity of chips will also increase according to the development. The increase in the amount of data formed by these sensors appears to be more dramatic as sensors frequently produce data. It is important to store these data for future reference, analysis and finding valuable information like fault diagnosis information, GPS tracing, auto drive support etc. Inappropriately, the variety of data and volume becomes rapidly extreme. In large scales, the existing analytical techniques fail to work effectively and produces a lot of false positives, which under means their efficacy, when enterprises move to cloud architectures and gather massive data, the issues become more serious
Smart city ambulance for tracking shortest path using global position system
Authors: M.Prakash Dr , Nithyanantham S. , Nishanth V , Prakash A , Kaviyarrasu D
Published: May 2018

Traffic overcrowding and tidal flow management were identified as major problems in modern urban areas, which have caused much uncomfortable for the ambulance. Moreover, road accidents in the city have been nonstop and to bar the loss of life due to the accidents is even more crucial. To implement this, we introduce a scheme called Smart city ambulance system using shortest path finding algorithm and traffic signals. The main theme behind this scheme is to provide a smooth flow for the ambulance to reach the hospitals in time and thus minifying the expiration. The ambulance driver will send the request to control room. After receiving the request from control room then the ambulance is controlled by the control room which furnishes the most scant route to the ambulance and also controls the traffic light according to the ambulance location and thus reaching the hospital safely. The control room will send the alert message to the hospital. This scheme is fully controlled by control room, thus it controls the traffic lights, helping to reach the hospital in time using the shortest path Dijkstra algorithm
Classification of non-chronic and chronic kidney disease using SVM neural networks
Authors: B.V Ravindra , Sriraam N , Geetha M
Published: May 2018

Chronic kidney disease (CKD) refers to the failure of the renal functionalities that leads to the deposition of wastes, electrolytes and other fluids in the body. It is very important to recognize the symptoms that cause the CKD and pathological blood and urine test indicates the key attributes. It is well fact that one has to undergo dialysis due to renal failure. The severity level of disease can be predicted as well as classified using appropriate computer aided quantitative tools. This specific study discusses the classification of chronic and non-chronic kidney disease NCKD using support vector machine (SVM) neural networks. The simulation study makes use of UCI repository CKD datasets with n=400. In order to train to train the attributes of kidney dialysis four cases were considered by including the nominal and numerical values. A radical basis kernel function was employed to train SVM. The performance of the proposed scheme is evaluated in terms of the sensitivity, specificity and classification accuracy. Results reveal an overall classification accuracy of 94.44% was obtained by combining 6 attributes. It can be concluded that the SVM based approach found to be a potential candidate for classification of CKD and NCKD.
A dependable smart security system for dominant attacks on agriculture crop fields
Authors: Visu P , Murugananthan V
Published: May 2018

This study is around recognition of unapproved access to a nation inhabitant's crop field when the rancher is remote from the entrance of his field. Here we outline a dependable keen enacted security framework with the assistance of sensor innovation to change the ways of life and gives a superior route to the issues wherever looked via landowners in their day by day life. By utilizing basic electronic segments nature, it is more versatile and financially savvy. The model is separated into three units; the power supply unit which utilizes the utilization of DC battery and mains supply for the use of continuous power supply to the circuit, the trigger unit for enacting the caution unit and intended to have much time and period and direct affectability to lessen rate of false caution, and the caution sufficiency unit which fundamental capacity is to deliver adequacy alert sound when activated by the trigger unit that creating a substantial capable of being heard sound which can alarm the whole neighbourhood or drive an interloper off. The model planned by thinking about economy, accessibility of parts and research materials, effectiveness, similarity and accommodation and furthermore toughness in the outline procedure this framework deals with the guideline of touch sensor. The general framework was developed and tried in such a path by upgrading the execution in each period of the sensor is rudimented over the capitulated irregularity of the circuits assume control over the vital working instrument for the alert to capacity to work legitimately. Working Principle is based on  Weidem’s Sensor where all  the chips and ICs connected over the soldered board has to satisfy the rules with cumulative actions for the sensor to work together when an object would step onto the pressure sensitive board, will be augumented.
Progressive edge growth LDPC Encoder with spiral search algorithm
Authors: Anbalgan Anand , Kumar.P Senthil
Published: May 2018

Trapping set causes the drop of performance in error floor region. Identification of TS is done by graphical method and enumerators. The lowest odd degree (minimal) TS is increasing the formation of more unsaturated nodes in iterative decoding. Progressive edge growth (PEG) Low-density parity check code (LDPC) [2] avoidance of trapping sets are mainly based on the distance and degree calculation of successive CN. This simple tool is used to eliminate TS when the encoder ensemble designs itself. Non-zero neighborhood search also made an influence on error floor. The spiral search method is used for Non-zero codeword search (NZCW) search for the first time in this research, at the decoder part. So, Non-zero codeword spiral search (NZCSS) converge fast with less number iteration, and this reduces the iteration of the decoder.