bluuebunny/crossref_metadata_2025 huggingface dataset:
Exit! A Prostitution Survivor Voice from South Africa
Authors: Grootboom Grizelda
Published: March 2018

The author shares her first-hand experience of sexual abuse and slavery on the streets of South Africa during and after apartheid. Reflecting on her days in prostitution, the author also provides an insight into how the prostituted woman is robbed off her dignity and how difficult it is to exit from the physical and mental trauma. She explains the meaning of freedom after apartheid for the street children of South Africa. They celebrated the end of the systemic marginalization of black people but continued to face rampant substance abuse, sexual violence and ‘gangsterism’. This article is a testimony of her from sex slavery to a survivor leader and activist against the backfrop of the apathy of the South African state towards its vulnerable children.
The Politics of Language: Why Sex is Not Work
Authors: Gupta Ruchira
Published: March 2018

This oral history is captured from a speech that the founder of Indian anti-sex trafficking organization, Apne Aap Women Worldwide, gave at an international conference, Last Girl First, in Delhi on 30 January 2017. The conference aimed at showcasing the intersecting inequalities of class, caste, gender, race, ethnicity, religion that make women and girls vulnerable to sex-trafficking. It highlighted through the voices of survivors, activists, labour leaders, politicians, doctors and academics, why prostitution is male sexual violence on women and how renaming it as ‘sex-work’ legitimises the exploitation. The author describes how she started Apne Aap, meaning self-action in Hindi with a few prostituted women, and learned from them and the other thousands of women who joined Apne Aap later, that their prostitution was an absence of choice, not a choice. She explains the consequences of language – how the term ‘sex-worker’ created policies that entrenched the exploitation of prostituted women, leaving no room for exit and excusing States from investing in the basic needs of The Last Girl and in the working rights of women.
Book review: Ruchira Gupta (Ed.), River of Flesh and Other Stories: The Prostituted Woman in Indian Short Fiction
Authors: Tiwari Kusha
Published: March 2018

Ruchira Gupta (Ed.), River of Flesh and Other Stories: The Prostituted Woman in Indian Short Fiction. New Delhi: Speaking Tiger, 2016, 256 pp., ₹350.
Exploitation of Women and Children in Nepal: In the Name of Travel, Tourism and Marriage
Authors: Koirala Anuradha , Khadka Bishwo Ram
Published: March 2018

Trafficking in Nepal and in its associated South Asian Association for Regional Cooperation (SAARC) region is more heavily entrenched than a decade ago. Nepal is no longer just a source country, but has become a transit and destination country as well. Sex tourism targeting minors has increased. Legal loopholes in Nepali law provide spaces for increasing paedophilia by tourists. Fake marriages have become a common method of trafficking. Trafficking is still primarily for prostitution, but there is an increase in trafficking for domestic servitude, construction work, cheap labor, slavery and organ harvesting. Policy responses are confused due to political instability and a lack of coordination among different departments.
Women Rights, Wage Labour and Sexual Exploitation: A Labour Law Analysis of ‘Sex Work’
Authors: Roy Shanie
Published: March 2018

This article first deconstructs the argument of the ‘pro-sex-work’ lobby that the prostitution of women should be defended as workers’ rights. It then proposes that the feminist abolitionist movement should fully integrate the issue of labour rights for women at the centre of its political discourse.
Prostitution and Its Impact on Youth: Violence, Domination and Inequality
Authors: Pape Pierrette
Published: March 2018

While the debates on prostitution usually focus on the different legislative approaches or the so-called choices of persons in prostitution, this article wants to give light to an invisible aspect of the system of prostitution: its impact on youth. Through research, data and facts, we want to show that it is urgent to listen to young women’s voices as they are detrimentally affected by an industry based on violence, domination and inequality.

Based on a study conducted on young people in the South of France, at the borders with Spanish prostitution clubs, outcomes and analysis clearly demonstrate that prostitution is not only a form of male violence against women, it is also a system and an industry that contribute to gender inequality, to an unequal and negative representation of sexuality for young people, and to reduced choices in sexuality. Its impacts are far more detrimental than we can see, because they are invisible and entrenched in mentalities. Today, young people, and especially young women, are directly targeted by the system of prostitution. Rape culture, economic conditions, migration paths and sexual violence in the childhood are part of the root causes which explain the highest vulnerability of youth to the sex industry. Youth has become a strong commercial value for the sex industry and for the men buying sex; the sex industry does not discriminate on age and uses the existing laws tolerating pimping and prostitution to continue to flourish. The article points out that despite the politically correct trend which supports a neo-liberal approach to prostitution, young people are taking a stance against the sex industry and are strongly supporting the Nordic model approach; this raises an important question—Are we ready to listen to them?
Book review: Ipshita Chanda, Selfing the City: Single Women Migrants and Their Lives in Kolkata
Authors: Mahjebeen Joanna
Published: March 2018

Ipshita Chanda, Selfing the City: Single Women Migrants and Their Lives in Kolkata. New Delhi: SAGE Publications; Kolkata: Stree Publications, 2017, 322 pp., ₹995.
A single-cell hematopoietic landscape resolves 8 lineage trajectories and defects in Kit mutant mice
Authors: Dahlin Joakim S. , Hamey Fiona K. , Pijuan-Sala Blanca , Shepherd Mairi , Lau Winnie W. Y. , Nestorowa Sonia , Weinreb Caleb , Wolock Samuel , Hannah Rebecca , Diamanti Evangelia , Kent David G. , Göttgens Berthold , Wilson Nicola K.
Published: March 2018

Key Points

Single-cell transcriptional landscape of 44 802 hematopoietic stem/progenitor cells defines entry points to 8 different blood lineages. Comparison with 13 815 c-Kit mutant cells identifies pleiotropic changes in cell type abundance and underlying molecular profiles.
ПОЛИТИЧЕСКИЕ И ПРАВОВЫЕ ПРОБЛЕМЫ ОРГАНИЗАЦИИ ОПЕРАТИВНОГО РЕАГИРОВАНИЯ И ТЕХНИЧЕСКОГО ОБЕСПЕЧЕНИЯ СИЛ ЗАЩИТЫ ОТ БЕДСТВИЙ МОНГОЛИИ НА ВОЗНИКНОВЕНИЕ КРУПНЫХ ЧРЕЗВЫЧАЙНЫХ СИТУАЦИЙ
Authors: Gantumur Erdenebat
Published: March 2018

Цель. Борьба с крупными чрезвычайными ситуациями (далее – ЧС) является важнейшим направлением государственной политики Монголии, закрепленной нормативным правовым и нормативно-техническим регулированием. Нормативными документами должно быть обеспечено прибытие в зону ликвидации крупномасштабных ЧС в Монголии больших сил специалистов-спасателей и техники. Маршруты, как и этапы выдвижения к районам возникших ЧС следует конкретно установить. Приоритетными должны быть маршруты выдвижения сил ГАЧС Монголии. Необходим учет возможной международной помощи, международного взаимодействия при проведении ликвидации ЧС.

Метод или методология проведения работы. Основу исследования образуют методы анализа и синтеза, дедукция, индукция, абстрагирование, наблюдение, изучение документов.

Результаты. Результаты работы заключаются в том, что обоснована необходимость ликвидации противоречия между необходимым и существующим уровнем разработки и применения крупномасштабных организационных, нормативных и технических мер реагирования монгольскими органами управления при крупномасштабных чрезвычайных ситуациях в Монголии. Готовность к такому реагированию является частью государственной политики Монголии, закрепленной нормативными правовыми актами и нормативно-техническими документами на всех уровнях управления. Правовое закрепление должно получить и международное взаимодействие.

Область применения результатов. Результаты исследования могут быть применены при подготовке политических решений в отношении защиты от крупных чрезвычайных ситуаций в Монголии и формировании необходимой нормативной правовой и нормативно-технической базы.
Hipertekst jako medium postpamięci
Authors: Kaźmierczak Marek
Published: March 2018

The paper presents hypertext as a matrix of contemporary forms of remembering. This text is a part of research focused on the representations of the Holocaust on the Internet. The main thesis of this article is: the ways of remembering of the Holocaust on Twitter imply and form also the ways of oblivion of the past. The article consists of four main parts. First part, titled Open cognitive categories, refers to methodological issues. Second part, titled Hypertext as a medium of postmemory, reveals relations between digital media and contemporary forms of remembering. Third part, titled Almost diary, shows examples of hypertextual representations of the Holocaust on Twitter. Fourth part, titled Two vectors, concerns confrontation between postmemory and postoblivion of the Holocaust.
Pod ciężarem niemieckiej historii
Authors: Jedynakiewicz-Mróz Katarzyna
Published: March 2018

The article is an attempt to describe the contemporary forms of the overcoming of the Nazi Past by the generation of the grandchildren. The presentation is based on the newest publications of the representatives of this group, as well as on the studies of the specialists. The first part of the article shows the defensive mechanisms accompanying the process of confrontation with the family part of the Nazi history. The second one presents the forms of an active and critical confrontation with the Nazi past of the generation of the grandparents, using the example of the six representatives of their grandchildren.
Nauki o polityce (także) jako dyscyplina nauk humanistycznych
Authors: Szlachta Bogdan
Published: March 2018

In Poland political science has recently been classified as a part of the branch of social sciences. The aim of this paper is not to question the reasons behind such a categorization as the relation of political science (along with such disciplines as legal sciences and sociology) to social sciences is something obvious. However, I claim that it is worthwhile to reassess the arguments that provide for including political science also in the humanities. In addition to the tradition, the solutions adopted by other countries, and the Polish legal experiences, one should take into account an important research conducted by those political scientists who deal with history of political thought and contemporary political philosophy.
COMO ALUMNOS DE EDUCACIÓN PRIMARIA RESUELVEN PROBLEMAS DE GENERALIZACIÓN DE PATRONES. UNA TRAYECTORIA DE APRENDIZAJE
Authors: Zapatera Llinares Alberto
Published: March 2018

El objetivo de esta investigación es estudiar la forma en la que estudiantes de Educación Primaria resuelven problemas de generalización de patrones. Para ello se ha analizado el nivel de éxito, las estrategias utilizadas y la progresión de 106 alumnos de 3º, 4º, 5º y 6º de Educación Primaria resolviendo un problema de generalización de patrones. Los resultados obtenidos muestran que los estudiantes con mayor éxito comienzan con estrategias aditivas y después cambian a estrategias funcionales, que invertir el proceso presenta una mayor demanda cognitiva y que muy pocos estudiantes son capaces de expresar la regla general algebraicamente. El análisis de la progresión de los estudiantes nos ha permitido definir descriptores de una trayectoria de aprendizaje que ayuda a diagnosticar la comprensión de los estudiantes y a describir su progreso en términos de crecimiento a través de diez niveles de desarrollo.
Quality and Pricing Decisions in a Market with Consumer Information Sharing
Authors: Jiang Baojun , Yang Bicheng
Published: March 2018

We provide a dynamic, game-theoretic model to examine a firm’s quality and pricing decisions for its new experience goods. Early consumers do not observe product quality prior to purchase but can learn it after purchase and share that product-quality information with later consumers—for example, through online reviews. Both the firm’s quality decision and its cost efficiency are the firm’s private information and not directly observed by the consumer. The early consumers can make a rational inference from the firm’s price about its cost and quality taking into account the firm’s profit incentive from the later informed consumers. We find that in equilibrium a more cost-efficient firm chooses higher quality than does an inefficient firm. One might intuit that a firm will offer higher quality if its high efficiency is known to consumers than if its efficiency is not known, because it will no longer need to convince consumers that it is not the inefficient firm. Our analysis shows that, surprisingly, the opposite may be true—when a firm’s high efficiency is publicly known, the firm may reduce its product quality rather than increase it. Furthermore, consumers’ knowledge about the firm’s cost efficiency can reduce the consumer surplus. We also show that an improvement in the average cost efficiency in the market can lower the consumer surplus.

The online appendix is available at https://doi.org/10.1287/mnsc.2017.2930 .

This paper was accepted by J. Miguel Villas-Boas, marketing.
When to Deploy Test Auctions in Sourcing
Authors: Beil Damian R. , Chen Qi (George) , Duenyas Izak , See Brendan D.
Published: March 2018

We investigate when a buyer seeking to procure multiple units of an input may find it advantageous to run a “test auction” in which she has incumbent suppliers bid on a portion of the desired units. The test auction reveals incumbent supplier cost information that helps the buyer determine how many entrants (if any) to recruit at a cost prior to awarding the remaining units. The optimal number of entrant suppliers to recruit follows a threshold policy that is monotonic in the test auction’s clearing price unless the underlying supplier cost distribution is not regular. When setting her reserve price in the test auction, the buyer uses supplier recruitment as her “outside option”: if the reserve price is not met in the test auction, the buyer recruits new suppliers and runs a second auction. We compare the attractiveness of the test auction procedure relative to the more conventional procedure in which the buyer auctions off her entire demand in one auction. Since the buyer can choose ex ante which procedure to use, we propose using whichever has lower ex ante total (purchase plus recruitment) cost. Finally, using an optimal mechanism analysis, we find a lower bound on the buyer’s cost, and use that cost as a benchmark to show that our proposed sourcing strategy performs well given its ease of implementation.

The online appendix is available at https://doi.org/10.1287/msom.2017.0636 .
Health Services Use and Costs for Americans With Intellectual and Developmental Disabilities: A National Analysis
Authors: Fujiura Glenn T. , Li Henan , Magaña Sandy
Published: March 2018

Health services and associated costs for adults with intellectual and developmental disabilities (IDD) were nationally profiled and the predictors of high expense users statistically modeled. Using linked data from the National Health Interview Survey and Medical Expenditure Panel Survey for the years 2002 through 2011, the study found a mixed pattern of differences in rates of service use and costs when compared to the general population depending upon personal characteristics, health status, and type of health care service. Prescription medication costs were the primary driver of total health care expenditures for Americans with IDD. The presence of secondary chronic health conditions and poor mental health status were the consistent predictors of high expense users across types of health care. Study results are discussed in terms of implications for more nuanced evaluations of health care costs and need for recurring surveillance of health care for Americans with IDD in the years following passage of the Patient Protection and Affordable Care Act.
Learning health systems: the research community awareness challenge
Authors: McLachlan Scott , Dube Kudakwashe , Buchanan Derek , Lean Stephen , Johnson Owen , Potts Henry , Gallagher Thomas , Marsh William , Fenton Norman
Published: March 2018

The learning health system (LHS) is one in which progress in science, informatics and care culture converges to continuously create new knowledge as a natural by-product of care processes. While LHS was first described over a decade ago, much of the recent published work that should fall within the domain of LHS fails to claim or be identified as such. This observation was confirmed through a review of papers published at the recent 2017 IEEE International Conference on Health Informatics (ICHI 2017), where no single LHS solution had been so identified. The authors lacked awareness that their work represented an LHS, or of any discrete classification for their work within the LHS domain. We believe this lack of awareness inhibits continued LHS research and prevents formation of acritical massof researchers within the domain. Efforts to produce a framework and classification structure to enable confident identification of work with the LHS domain are urgently needed to address this pressing research community challenge.
Prediction of best cloud service provider using the QoS ranking framework
Authors: S. Syed Fiaz A , S. Guruprakash K , S. Syed Navaz A
Published: March 2018

The ability to utilize the computing resources based on the need has taken the Cloud computing to a greater height and it has increased the potential to extend the flexibility and efficiency of any resource. Considering the advantages, there are various Cloud Services Providers (CSP) that can offer services based on the user request and finding optimal services among those Cloud Services can be a great dispute. The proposed work relies on a QoS Ranking prediction that chooses the appropriate services offered by the various different CSPs. Based on those predicted analysis, the best CSP will be marked with a Ranking framework, according to which the Services will be directed to the users.
Compact metamaterial inspired periwinkle shaped fractal antenna for multiband applications
Authors: T P Madhav B , Venkateswara Rao M , Manisahithi K , S S Sarvani D , Dharani M , V Rami Reddy S
Published: March 2018

A compact periwinkle flower shaped fractal antenna loaded with split-ring resonator on either side of the feedline is proposed in this article. The proposed antenna consists of partial ground on flipside and a periwinkle flower petal is located on the rectangular patch. The proposed antenna works in multiband i.e., at 4.1GHz,4.5GHz,4.8Ghz(S-band) at 6.7GHz,6.75GHz(C-band) at 9.4GHz(X-band) and at 12.7(ku) i.e., proposed antenna covers almost one frequency at all radar frequency bands. The proposed antenna has been analyzed and maximum gain of 4dB and radiation efficiency of 87 percent is observed.
Design and analysis of square shaped serrated patch antenna for ultra-wideband applications with single rejection band
Authors: Saleem Akram P , T P Madhav B , Jeevana Sravya G , Sudhakar V , Lakshmi Sirisha G , Mounika Ch , Venkateswara Rao M
Published: March 2018

This article studies about the design and analysis of serrated patch antenna with a slot at the ground with microstrip line feed. Comparative analysis has been carried in five and ten serrated patches at top and side edges of the square patch. All design iterations have been carried out using commercially equipped tool HFSS 13. For bandwidth enhancement a slot has been placed at the ground in all iterations in common, later the return loss and gain have been analyzed and compared for all models. Finally, the proposed modal consists of ten serrations at the three edges of the square patch where it works on the ultrawide band region with high gain when compared to all models. The proposed antenna has its applications at WiMAX, WLAN 802.11, LTE 42/43 bands and works in the region of ultrawide band(3.1GHz-10.6GHz).and having rejection at 5-6GHz
Study and analysis of single notched rectangular dielectric resonator antenna for cognitive radio applications
Authors: Nagendram S , T P Madhav B , Sony K , Janaki P , Lakshmi Prasanna P , Swetha S , Venkateswara Rao M , . .
Published: March 2018

In this article a single notched ultra-wideband antenna which is integrated with dielectric ring resonator is proposed for cognitive radio applications. The proposed antenna consists of elliptical base and a split ring resonator on either side of the feedline for bandwidth enhancement. The rectangular dielectric resonator which is proposed is a rectangular dielectric resonator which give good isolation between the two ports. The proposed antenna has single rejection at 5.7GHz-8.4GHz at ultrawideband region. The proposed antenna has a peak gain of 6dB and average gain of 3. 1dB.Commercially equipped tool ANSYS EM 17 is used to characterise the proposed antenna. The proposed antenna provides good isolation between the two antenna ports confirming efficient integration. The antenna is best suitable for candidate of radar applications, medical imaging and cognitive radio systems.
Design of smart sensors for real time drinking water quality monitoring and contamination detection in water distributed mains
Authors: Kavi Priya S. , Shenbagalakshmi G. , Revathi T.
Published: March 2018

Drinking Water Distribution Systems facilitate to carry portable water from water resources such as reservoirs, river, and water tanks to industrial, commercial and residential consumers through complex buried pipe networks. Determining the consequences of a water contamination event is an important concern in the field of water systems security and in drinking water distribution systems. The proposed work is based on the development of low cost fuzzy based water quality monitoring system using wireless sensor networks which is capable of measuring physiochemical parameters of water quality such as pH, temperature, conductivity, oxidation reduction potential and turbidity. Based on selected parameters a sensing unit is developed along with several microsystems for analog signal conditioning, data aggregation, sensor data analysis and logging, and remote representation of data to the consumers. Finally, algorithms for fusing the real time data and decision making using fuzzy logic at local level are developed to assess the water contamination risk. Based on the water contamination level in the distribution pipeline the drinking water quality is classified as acceptable/reject/desirable. When the contamination is detected, the sensing unit with ZigBee sends signals to close the solenoid valve inside the pipeline to prevent the flow of contaminated water supply and it intimates the consumers about drinking water quality through mobile app. Experimental results indicate that this low cost real time water quality monitoring system acts as an ideal early warning system with best detection accuracy. The derived solution can also be applied to different IoT (Internet of Things) scenario such as smart cities, the city transport system etc.
An enhanced security tree to secure cloud data
Authors: Renu S. , Krishna Veni S.H.
Published: March 2018

The Cloud computing services and security issues are growing exponentially with time. All the CSPs provide utmost security but the issues still exist. Number of technologies and methods are emerged and futile day by day. In order to overcome this situation, we have also proposed a data storage security system using a binary tree approach. Entire services of the binary tree are provided by a Trusted Third Party (TTP) .TTP is a government or reputed organization which facilitates to protect user data from unauthorized access and disclosure. The security services are designed and implemented by the TTP and are executed at the user side. Data classification, Data Encryption and Data Storage are the three vital stages of the security services. An automated file classifier classify unorganized files into four different categories such as Sensitive, Private, Protected and Public. Applied cryptographic techniques are used for data encryption. File splitting and multiple cloud storage techniques are used for data outsourcing which reduces security risks considerably. This technique offers  file protection even when the CSPs compromise.
Proactive model based testing and evaluation for component-based systems
Authors: Surendar A. , Kavitha M. , Saravanakumar V.
Published: March 2018

Embedded software systems are getting more and more complex. The demand for new features and functions led to an increasing complexity in the design and development of these systems. There are frequent reports in the media about software systems crashing and damages occurring due to software errors. One reason for this is that there are many software testing methods and techniques but they are often non-practical and difficult to use. The aim of the study was to improve existing testing methods and their practicality especially from the integrator viewpoint. Component-based system development, components of different granularities must be tested. Furthermore, an optimization approach based on simulated annealing is presented which is used to derive an integration order with respect to the proposed parameters in a powerful and reliable manner. The paper discusses explicit properties and the requirements that are to be verified, imposed upon software-intensive systems by their environment and by their users.
Ultra low power design approach of asynchronous delta sigma modulator
Authors: Kumar Sahu Anil , Sheikh Rashid , Surendar A.
Published: March 2018

Asynchronous Delta Sigma Modulator (ADSM) is assuming an extremely vital part in the majority of conveying device  and information convertor and in this manner requires the exceptional consideration in outlining. The execution of the vast majority of the device having DSM as an essential segment is described by the execution of the DSM hardware. This paper introduces the audit of work performed in planning of Asynchronous Delta Sigma Modulator. Latest trends are about the utilization of ADSM for various applications. Contrasting the execution of various ADSM circuits, an execution paradigm is settled for ADSM plan. The execution criteria basically think about the Low working voltages, low power utilization, high SNDR and better focus recurrence. At that point a strategy is suggested that characterizes the High execution ADSM that influence joined utilization of various methods to like inverse operation and mass driven MOS for ultra low power outline and enhancing the execution of an Asynchronous Delta Sigma Modulator.
Unit commitment and dispatch with coordination of wind and pumped storage hydro units by using cuckoo search algorithm
Authors: Jayashree R. , Soundarapandian R.
Published: March 2018

This paper proposes a multi objective model for Advanced Unit Commitment (AUC) with wind power and Pumped Storage (PS) units using Cuckoo Search (CS) algorithm. The novelty of the proposed method is improved levy flight searching ability, random reduction and ability to adapt complex optimization problems. Here, the CS algorithm to accommodate wind output uncertainty, with the multi-objective of providing an optimal AUC schedule for the thermal generators in the day-ahead market that minimizes the total cost under the different wind power output scenario. The proposed method is more reliable for AUC because it considering the wind power uncertainty using the Artificial Neural Network (ANN) and PS units, which are significantly reduces the total cost. Then the proposed method is implemented in the MATLAB/simulink platform and tested under IEEE standard bench mark system. The proposed method performance has been verified through the comparison analysis with the existing techniques. The comparison results were proved the superiority of the proposed method.
GVF snake algorithm-a parallel approach
Authors: P Sajan Priya , Kumar S.S.
Published: March 2018

Multicore architecture is an emerging computer technology where multiple processing element will be acting as independent processing cores by sharing a common memory. Digital image segmentation is a widely used medical imaging application to extract regions of interest. GVF Active Contour is a region based segmentation technique which extracts curved and irregular shaped regions by diffusing gradient vectors and by the influence of internal and external forces. This requires prior knowledge on the geometric position and anatomical structures to locate the specific region defined within an image domain. This process requires complex mathematical calculations which in turn results in the immense consumption of CPU processing time. This may adversely affect the overall performance efficiency of the process. With the advancements in multicore technology, this processing time delay can be reduced by adapting parallelization in the computation of GVF field to the specific region of interest which is to be segmented. OpenMP is a shared memory parallel programming construct, which could implement multicore parallelism with extensive and powerful APIs thereby supporting the functionalities required to attain parallelism. This article provides a high level overview of OpenMP, its effectiveness and ease of implementation in adapting parallelism to existing traditional sequential methods using instruction, data and loop level parallelism. Performance comparison could be done with sequential versions of the program written in Matlab, Java and C languages with the proposed parallelized version of OpenMP. The result is also comparable with different operating systems like Windows and Linux.
Machine learning algorithms: a background artifact
Authors: Deepika J. , Senthil T. , Rajan C. , Surendar A.
Published: March 2018

With the greater development of technology and automation human history is predominantly updated. The technology movement shifted from large mainframes to PCs to cloud when computing the available data for a larger period. This has happened only due to the advent of many tools and practices, that elevated the next generation in computing. A large number of techniques has been developed so far to automate such computing. Research dragged towards training the computers to behave similar to human intelligence. Here the diversity of machine learning came into play for knowledge discovery. Machine Learning (ML) is applied in many areas such as medical, marketing, telecommunications, and stock, health care and so on. This paper presents reviews about machine learning algorithm foundations, its types and flavors together with R code and Python scripts possibly for each machine learning techniques.
A study on analytical framework to breakdown conditions among data quality measurements
Authors: Deshai N. , Saradhi Varma G.P , Ramana S.V.
Published: March 2018

The point of this survey is to feature issues in information quality research and to talk about potential research chance to accomplish high information quality inside an association. The survey received deliberate writing audit technique in view of research articles distributed in diaries and gathering procedures. Here built up an audit technique in light of particular subjects, for example, ebb and flow inquire about territory in information quality, basic measurements in information quality, information quality administration model and approaches and information quality evaluation strategies. In light of the audit methodology, here select pertinent research articles, concentrate and amalgamation the data to answer an examination questions. The survey features the headway of information quality research to take after its genuine application and talk about the accessible hole for future research. Research territory, for example, association’s administration, information quality effect towards the association and database related specialized answers for information quality overwhelmed the early years of information quality research. Be that as it may, since the Web is presently occurring as the new data source, the rising of new research regions, for example, information quality evaluation for web and huge information is unavoidable. This audit additionally recognizes and talks about basic information quality measurements in association, for example, information fulfillment, consistency, exactness and convenience. Likewise think about and feature holes in information quality administration model and procedures. This survey is critical to feature and break down restriction of existing information quality research identified with the current needs in information quality, for example, unstructured information sort and enormous information.
Simulation modeling and analysis of job release policies in scheduling an agile job shop with process sequence dependent setting time
Authors: Vinod K.T. , Prabagaran S. , Joseph O.A.
Published: March 2018

This paper analyses the effects of job release policies, priority scheduling rules and setup times on the performance of a dynamic job shop in a sequence dependent setup time environment. Two job release policies namely, immediate job release and job release based on a specified work-in-process are investigated. A simulation model of a realistic manufacturing system is developed for detailed analysis. The dynamic total work content method is adopted to assign the due dates of jobs. Six priority rules are applied for prioritizing jobs for processing on machines. Several performance criteria are considered for analyzing the system performance. The simulation results are used to conduct statistical tests. Analytical models have been formulated to represent the simulation model for post-simulation studies. These models are found to yield a satisfactory estimation of the system outputs.
A survey on health prediction using human activity patterns through smart devices
Authors: Akhila G. , Madhubhavana N. , Ramareddy N. V. , Hurshitha M. , Ravinder N.
Published: March 2018

The world is devoting massively towards digital transformation to provide a healthier environment for people who live in smart homes. In such a change millions of smart devices are being equipped around, which gives a massive amount of refined and sorted data which is used to analyze the health patterns. In this research, the work mainly focuses on analyzing the human activity patterns for health prediction through smart devices. This survey includes frequent pattern mining, cluster analysis, the measure and analysis of the energy utilization changes accordingly by household. This paper represents the survey depends on the needs of analyzing energy utilization patterns of the appliance level, which completely depends on the human activity patterns.
Analysing software quality using cmmi-2 with agile-scrum framework
Authors: Chaitanya Krishna B , Yeshwanth Srinath A , Bhavani N , Jaya Sai G
Published: March 2018

Capability Maturity Model Integration is the best proposed theory for software quality assurance. Implementing the agile methods linking to Capability Maturity Model Integration and presenting the software. Basically Scrum is one of the best implemented methods. We will link the scrum to CMMI level managed to the scrum methods and define software quality.This Application totally involves with Consumer or customer behaviour while shopping an Item.Seller Companies analyzes this behaviour in order to rate their product or increase the sales of the product. Every Product selling company need to know about market analysis of their product. This project is proposed to provide market analysis of the each product to the seller companies with interaction of the customer purchases. Now days because of increase in media and internet, shopping items through online is increased. Seller companies need to rank their products and they need to administrate products in their companies , that is few products they want to retain, few they have delete/stopbut in order to stop or promote a product they need to know about product status in the market. With survey sites sometimes it may fake results. To overcome such kind of drawbacks, this project is proposed, this project directly estimates the behaviour of customer, in search, and buy a product. The result given this project is useful for company to estimate the status of the project in the market.
A detailed study on risk assessment of mobile app permissions
Authors: Naga Malleswari D , Dhavalya A , Divya Sai V , Srikanth K
Published: March 2018

Mobile phone have user’s personal and private information. When mobile applications have the permission to access to this information they may leak it to third parties without user’s consent for their own benefits. As users are not aware of how their personal information would be used once applications are installed and permissions are granted, this raises a potential privacy concern. Therefore, there is a need for a risk assessment model that can intimate the users about the threats the mobile application poses to the user's private information. We propose an approach that helps in increasing user’s awareness of the privacy risk involved with granting permissions to Android applications. The proposed model focuses on the requested permissions of the application and determines the risk based on the permission set asked and gives a risk score.
An efficient path reconstruction in dynamic and large-scale networks using extensive hashing
Authors: Raju Kuppala David , Reddy Ambati Jayasimha , Racharla Naveen , Prasanna.K Devi
Published: March 2018

Late remote sensor systems (WSNs) are be-coming logically complex with the creating framework scale and the dynamic thought of remote correspondences. Various estimation and decisive techniques depend upon per-divide courses for correct and fine-grained examination of the psyche boggling net-work hones. In this paper, we propose iPath, a novel way inferring approach to manage reproducing the per-package directing courses in capable and broad scale frameworks. The basic idea of iPath is to abuse high path closeness to iteratively accumulate long courses from short ones. IPath starts with a hidden known game plan of ways and performs way derivation iteratively. iPath consolidates a novel layout of a lightweight Extensible hashing, hash work for affirmation of the construed ways. To furthermore improve the conclusion capacity and moreover the execution capability, iPath fuses a brisk bootstrapping computation to change the hidden game plan of ways. We also execute iPath and survey its execution using takes after from tremendous scale WSN associations and moreover expansive multiplications. Results show that iPath achieves essentially higher revamping extents under different framework settings stood out from other best in class approaches.
Tree shaped fractal antenna with multiband characteristics
Authors: T P Madhav B , Subba Reddy V , Rajasekar Reddy D , Ravi Sankar K , V.S.Harsha Ramanujan E , V.Surya Prakash V , Venkateshwara Rao M
Published: March 2018

A tree shaped fractal antenna with U shaped slot and W-shaped slot has been designed and analyzed in this article by using ANSYS elec-tromagnetic desktop 17. The proposed antenna is analyzed taking FR4 substrate is taken as the substrate material. The proposed antenna exhibits multiband characteristics (2.75-3.17GHz, 4.1-4.8GHz, 5.1-5.3GHz and 5.4-6.3GHz, 7.21-12.8GHz) in the Ultra-wide band region. The path that is radiating by superposition of the rectangular patches and multiple-band operating frequency is obtained by increasing the U-shapes slots and w-shaped slot on the patch. The improvement in the impedance characteristics between the adjacent frequencies is achieved by using defected ground structure (DGS) on the ground plane as to cover the region of UWB application (3.1-10.6GHz). The proposed antenna works in the applications like Wi-Max, Weather forecasting RADAR systems and WLAN.
Wireless network based smart irrigation system using IOT
Authors: Kumar Verma Ankit , K Bhagavan , Akhil Vamaraju , Singh Amrita
Published: March 2018

The Internet of things generally as IoT is a concept of sharing the network between different network objects through internet connectivity. The main objective of this project is to help the agriculturists during the irrigation process. IoT plays a major role in the grazing fields. The Smart irrigation system minimizes the wastage of water and helps farmers for successful usage of the water and besides the crop development. In the proposed paper we are describing an efficient system of irrigation to minimize the consumption of water in the. This in turn grants a remote control mechanism to monitor the process of irrigation. This irrigation process is automated only if the moisture, Temperature levels of the field falls below the reference value. The notifications that are retrieved by the sensor are sent to farmers mobile at a given period of time. The farmers can get SMS about the condition of the soil (whether soil is dry or wet) based the dryness of the soil. The farmers can easily operate the motor and can easily monitor all the operation in the fields. This intelligent Irrigation system’s efficiency is greater than 90% when compared with traditional method. Hence the designed system will provide the complete readings of the content of humidity in the soil and the timely records the temperature as well. This recorded data helps the farmers to inspect the proper functioning of the system and to supply the water into the field in the proper proportions.
Coplanar wave guide fed fork shaped frequency reconfigurable antenna for LTE, WI-FI and WLAN applications
Authors: Siva Prasad B , Mallikarjuna Rao P , T P Madhav B
Published: March 2018

A coplanar wave guide fed fork shaped antenna is designed with reconfigurability for switching between the application bands of LTE, Wi-Fi and WLAN. A novel closed hut shaped ground plane structure is used in the construction of the antenna model for good impedance matching with the feed line. The basic structure of the antenna model is working in the UWB range from 3.1 to 10.6 GHz. The adjacent strips of the monopole consisting of the slots for the placement of PIN diodes. The switching operation of the diodes providing frequency reconfigurability nature in the antenna between LTE (2.1-2.2 GHz), Wi-Fi (2.4 to 2.7 GHz) and WLAN (5.6-5.8 GHz) bands. Antenna is providing peak realized gain of 4.5 dB and efficiency more than 70% in the operating bands. The prototyped antenna is providing excellent measurement results in correlation with simulation results obtained from CST Microwave Studio.
Quality based drip drag match data collection in wireless sensor network
Authors: Jayaraj V , Alonshia S
Published: March 2018

Although data collection has received much attention by effectively minimizing delay, computational complexity and increasing the total data transmitted, the transience of sensor nodes for multiple data collection of sensed node in wireless sensor network (WSN) renders quality of service a great challenge. To circumvent transience of sensor nodes for multiple data collection, Quality based Drip-Drag-Match Data Collection (QDDM-DC) scheme have been proposed. In Drip-Drag-Match data collection scheme, initially dripping of data is done on the sink by applying Equidistant-based Optimum Communication Path from the sensor nodes which reduces the data loss. Next the drag operation pulls out the required sensed data using Neighbourhood-based model from multiple locations to reduce the delay for storage. Finally, the matching operation, compares the sensed data received by the dragging operation to that of the corresponding sender sensor node (drip stage) and stores the sensed data accurately which in turn improves the throughput and quality of data collection. Simulation is carried for the QDDM-DC scheme with multiple scenarios (size of data, number of sinks, storage capacity) in WSN with both random and deterministic models. Simulation results show that QDDM-DC provides better performance than other data collection schemes, especially with high throughput, ensuring minimum delay and data loss for effective multiple data collection of sensed data in WSN.
Nature inspired algorithm using particle swarm approach with variations in inertia weights for automatic test data generation based on dominance concepts
Authors: Singla Sanjay , Kumar Raj , Kumar Dharminder
Published: March 2018

In software testing, testing of all program statements is a very crucial issue as it consumes a lot of time, effort and cost. The time, effort and cost can be reduced by using an efficient technique to reduce the test case and a good optimization algorithm to generate efficient, reliable and unique test cases. In this paper, the concept of dominance tree is used which covers all edges/statement by using minimum test case. Nature inspired algorithm - PSO (Particle Swarm Optimization) by applying different inertia weights is used to generate unique, reliable and efficient test cases to cover the leaf nodes of dominance tree. Inertia weights like fixed inertia weight (FIW), global-local best (GLbestIW), Time-Dependent weight (TDW), and proposed GLbestRandIW weights are used with PSO to investigate the effect of inertia weights on the execution of PSO with respect to number of generation required, percentage coverage , total test cases generated to test the software under consideration.
Design and development of text extraction and retrieval using style of documents in web searching
Authors: Balan S. , Ponmuthuramalingam P.
Published: March 2018

This research focuses on study and extraction of web pages and documents are returned from goggle search engine. The useful task of web is to exactly match the accurate information. That information are categorized into many ways such as manual, structured, semi-structured texts and images. Query Result Records (QRR’s) is used to extract the text information from the different type of documents. Data region is used to identify the actual segmentation step and the domain of documents contains suffix and prefix. Time compared to the existing pruning and other techniques are more efficient in manner. We analyze the different type of alignments in this paper and propose a new technique for alignment retrieval to find precision and recall evaluating the retrieval performance.
A combine approach of preprocessing in integrated signature verification (ISV)
Authors: Jindal Upasna , Dalal Surjeet , Dahiya Neeraj
Published: March 2018

For last few decades, signature verification is an important area of research. Recently, integrated signature verification (ISV) comes in a play, in which dynamic and static both signatures verified for the forgery [2]. In integrated signature verification system, initial start with a data acquisition stage which can be done from both handwritten and with the use of stylus. Then next step is pre-processing of the signature to make the image noise free and easy to extract. Third and most important step that is the feature extraction. In this step we find that images have different types of features such as local, global, geometrical, and statistical and projection. Last and Final step, which is a crucial step on which the whole system depends that is the verification, where the forgery factor has been found in terms of FAR, FRR, EAR to calculate the performance of the system. Many techniques and filters have been already used to remove the noise in the signature verification system. We proposed a system on integrated pre-processing of the signature. While scanning the signature, some noise is added, which gives the blur image for feature extraction. To improve the system performance and fine feature extraction, we develop a system for integrated pre-processing. In addition, current methods used for features extraction and approaches used for verification in signature systems are also presented. In conclusion, we suggest some encouraging ideas to be incorporated in the future.