bluuebunny/crossref_metadata_2025 huggingface dataset:
Assessment of Chemical Pollution With Routine Pesticides Using PRIMET, a Pesticide Risk Model in the Benoe Stream in the South-West Region of Cameroon
Authors: Nkontcheu Daniel Brice Kenko , Fai Patricia Bi Asanga , Taboue Géraud Canis Tasse , Tchamadeu Norbert Ngameni , Ngealekeleoh Francis , Mbida Mpoame
Published: November 2017

Widespread extensive and improper application of pesticides may pose risk to aquatic ecosystem and affect non-target organisms. This study aimed at assessing chemical pollution with pesticides using the PRIMET (Pesticides Risks in the tropics to Man, Environment and Trade) model in the Benoe stream. Ecotoxicological data on pesticides, pesticide and water physico-chemistry were used as input parameters. Water parameters were measured monthly for 06 months in 08 sampling points along the stream. Pesticide characteristics were obtained from the Pesticides Properties Data Base (PPDB) and the PRIMET software. The risk assessment was done for 44 active ingredients used in the area and whose ecotoxicological and physico-chemical data were available. Water parameters significantly (p<0.05) varied across seasons. Based on the Exposure Toxicity Ratio (ETR) and the Predicted Exposure Concentration (PEC), the model predicted 09 pesticides to pose a definite acute risk (ETR>100), seven to pose an acute possible risk (1≤ETR≤100) and 28 to pose no risk (ETR<1). Cadusafos (ETR=5200, PEC=39µg/l) was the most risky pesticide while imazalil (ETR=0.0002, PEC=0.0053µg/l) was the least risky compound. Cypermethrin was predicted to pose both definite acute risk to water and possible chronic risk to fish, water and Daphnia. Seven active ingredients were predicted to pose possible chronic risk to Daphnia. Pesticide used in plantations near water bodies is a threat to the aquatic ecosystem augmented in case of misuse. Bioaccumulation potential and impact of these compounds on water quality and biota community structure should be examined.
Woolenization of Jute Fibre
Authors: Mia Rony , Islam Md. Ariful , Ahmed Bulbul , Mojumdar Jalal Ibn Amin
Published: November 2017

Once upon a time, Jute was called the golden fibre of Bangladesh. Due to some problems and growth of modern technology, the market share of jute has decreased. In this paper, the effect of Woolenization of jute fibre was described. It also shows how the physical and chemical properties of jute have been changed by alkali-treatment as well as its structure. It was demonstrated that this kind of treatment leads to several changes in its structure which has turned to a near wool structure. These works are done by different concentrations of different alkalis. Finally, 15% NaOH treatment of jute show maximum woolenized properties where we obtain softened and swollen jute. Conclusively, we have made some other products from woolenized jute fibres such that if introduced into our world market, it can increase the market share of jute fibre.
Characterization of Rainwater Drainage Infrastructure in the City of Lomé (Togo, West Africa)
Authors: Gbafa Kodjovi Senanou , Tiem Sonnou , Kokou Kouami
Published: November 2017

Despite Togo government’s efforts to maintain and expand its storm drainage networks, urban flood disasters remain recurrent. Beyond Shallow zones occupation for construction and climatic causes, it is essential to circumscribe the determinants linked to infrastructure. Based on the inventory and characterization of rainwater drainage infrastructure, this study is a contribution to the reduction of flood risk in the city of Lome in Togo. Surveys were conducted on rainwater drainage works of the 172 paved roads in Lome. A sample of each network group is selected by considering the areas of recurring hazards and broadest catchment areas in the city for the evaluation of their structural and functional states according to the readapted VIZIR method. The relationship between these two states was computed using multiple correspondence analysis (MCA). This study reveals notable insufficiencies in rainwater drainage management in the city, expressed by the existence of roads built without drains, gutters without outlets, and open gutters and makeshift trenches built by the population. Functionally and structurally, almost all the structures are constructed of reinforced concrete. The most cracked are the mainly open pit (92.02%) works of the lagoon complex. The retention basin network includes 36 retention ponds 18 of which are interconnected, 11 drained by gravity and 4 by pumping. The latter are inherently hazardous insofar as pumping energy is not guaranteed. The MCA has shown that the network of piping related to the retention ponds are in similar conditions, and that generally, the closed gutters are not cracked while the open gutters are cracked.
Anticoagulant Activities of Olea Europaea Leaves and Fruit Extract
Authors: Sara Himour , Hayat Belhain , Mehbouba Bouketta
Published: November 2017

The objective of this study is the evaluation of the anticoagulant activity of polyphenols obtained from extracts of the leaves, and fruits of olive (Olea europaea L.) of four varieties cultivated in the station Maazouzi Lakhdar (Mila, Algeria). The anticoagulant activity of the polyphenolic extracts, of the leaves and fruits of olive have been evaluated in vitro, using the test of Quick time (QT). The values of clotting time a showed a surprising anticoagulant activity on the exogenous pathway of coagulation, significant in the case of leaves and fruits of the Chemlel variety.
Intervenções no espaço urbano: um desafio à paisagem. O estudo de Valença [Bahia], Brasil
Authors: Cunha Erika Jorge Rodrigues
Published: November 2017

O presente artigo tem o propósito de apresentar os resultados de pesquisa sobre a Paisagem Cultural de Valença, Bahia, Brasil, desenvolvida entre os meses de maio a outubro de 2010 com subsídios do Instituto do Patrimônio Histórico e Artístico Nacional. Por meio da experiência valenciana, pretende destacar a relevância dos aspectos materiais e imateriais no processo de produção de cidades, e apontar como a desconsideração destes elementos pelos órgãos gestores implica em soluções urbanísticas capazes de comprometer seriamente contextos de vida e paisagens socioculturais construídas e consolidadas pelo tempo e trabalho humano. O foco do estudo volta-se, essencialmente, ao contexto de vida de significativo número de famílias que vivem da pesca artesanal e da carpintaria naval, atividades que constituem o principal diferencial cultural de Valença, e que, no momento, enfrentam sua maior crise estrutural sendo iminente o risco de seu desaparecimento.
As políticas públicas de preservação do patrimônio a partir dos Roteiros Nacionais de Imigração: O caso de Santa Catarina
Authors: Pistorello Daniela
Published: November 2017

Este artigo tem como objetivo perceber como se pode pensar as políticas públicas de preservação do patrimônio cultural brasileiro a partir dos Roteiros Nacionais de Imigração. Em síntese, o projeto Roteiros se constitui numa proposta nacional da primeira fase do reconhecimento e proteção do patrimônio dos imigrantes em Santa Catarina realizado através da parceria entre o IPHAN e a Fundação Catarinense de Cultura (FCC). É resultado de um processo realizado em três momentos: o inventário do patrimônio cultural do imigrante no estado; a seleção dos seus bens materiais e imateriais e sua indicação para o tombamento ou registro em nível municipal, estadual e/ou federal; e a instituição de uma rota turística que abranja os caminhos nos quais os bens culturais inventariados estejam presentes, dotados de legislação de proteção especifica, cujo atrativo seria marcado por referências culturais relacionadas à imigração de italianos, alemães, poloneses e ucranianos em Santa Catarina. O texto problematiza as relações entre memória e identidade; entre órgão federal e estadual de preservação; a patrimonialização dos bens culturais e sua apropriação pelo turismo. Por fim pondera a respeito da institucionalização dos Roteiros Nacionais de Imigração como forma de pensar a Paisagem Cultural do Estado de Santa Catarina e suas possibilidades de uso.
A percepção dos moradores sobre os atrativos turísticos e visitantes em Porto Nacional [Tocantins], Brasil
Authors: Oliveira Mariela Cristina Ayres de , Balsan Rosane
Published: November 2017

Esta pesquisa teve como objetivo geral analisar a percepção dos moradores do Centro Histórico em relação aos atrativos turísticos de Porto Nacional [TO], considerada como: patrimônio cultural brasileiro. A pesquisa foi desenvolvida especificamente nas ruas do Centro Histórico. Num primeiro momento, fez-se a pesquisa bibliográfica junto á biblioteca da Universidade Federal do Tocantins e também por meios digitais. Os questionários foram aplicados aleatoriamente com pessoas que concordaram em responder oralmente as questões, sendo as respostas transcritas pelas pesquisadora. Os dados foram coletados no período de dezembro de 2009, sendo utilizados como técnica de coleta de dados, a entrevista semi-estruturada, com perguntas abertas e fechadas, aplicadas aos moradores do Centro Histórico. As entrevistas com moradores levaram em média cinco dias, com duração de vinte minutos para cada questionários. Concluindo esta coleta, os dados foram analisados em gráficos e quadros, com a finalidade de contribuir com estudos quantitativos. A percepção dos moradores do Centro Histórico oferece uma oportunidade de conhecer opiniões sobre questões relativas aos atrativos turísticos e os seus visitantes. Os entrevistados revelaram na pesquisa a sua opinião quanto aos atrativos turísticos, visitantes e possibilidades de crescimento econômico do turismo na cidade em estudo. Para finalizar a pesquisa destaca as considerações finais, voltadas a defender o patrimônio histórico bem como a importância da divulgação e turismo do mesmo, além de estimular o elo entre problemas sociais e a função da universidade.
Apontamentos sobre o contexto do desenvolvimento regional de Cubatão [SP]
Authors: Palini Rita Cristina Cantoni , Zuffo Antonio Carlos
Published: November 2017

Na gestão e aproveitamento da água, os aspectos culturais e econômicos são cruciais: determinam a postura dos atores sociais diante do precioso bem. Em áreas de precipitação intensa, como a região do município de Cubatão, Estado de São Paulo, Brasil, o cenário não é diferente: o bem é abundante, atraindo a atividade econômica, embora essa atividade econômica nem sempre consiga lidar de forma sustentável com esse mesmo bem. Este trabalho mostra alguns aspectos dessa difícil conjugação.
Algumas questões sobre o estudo e salvaguarda de paisagens industriais
Authors: Cordeiro José Manuel Morais Lopes
Published: November 2017

O estudo e a salvaguarda de paisagens industriais constitui hoje em dia uma área que tem suscitado uma cada vez maior atenção por parte dos investigadores. O autor procura apresentar algumas das questões que se colocam nesta área, apontando alguns exemplos bem sucedidos a nível internacional.
Paisagem Cultural Industrial: memórias de um patrimônio da contemporaneidade
Authors: Silva Ronaldo André Rodrigues da
Published: November 2017

O trabalho apresenta os conceitos de patrimônio industrial e patrimônio cultural a partir das relaçõesestabelecidas entre a vida social e a vida econômica sob uma perspectiva da paisagem industrial e o desenvolvimento das paisagens organizacionais. A paisagem cultural é concebida a partir de uma visão integrada entre sociedade e empresa a partir de uma infinita rede de interconexões em que convergem os conceitos de patrimônio e cultura. As relações estabelecidas inserem aspectos da memória cultural e social e aproximam tais conceitos, garantindo-lhes um caráter interdisciplinar com nuances cultural, social e econômica. Faz-se necessário destacar uma “específica” paisagem sócioindustrial que determina identidades próprias que possibilita conhecer uma região, um espaço geográfico e época vividas a partir de seu entorno e permite entender as transformações e reflexos das condições de vida e de trabalho dos indivíduos. Além disso, pode-se descrever fatores particulares de construção de memória, identidade e cultura para explicar questões sociais e expectativas e limitações de uma dada sociedade contemporânea. O entrelaçamento dos conceitos de história, memória, cultura e organização é uma possibilidade de entendimento das relações e práticas do trabalho e sociedade, entremeadas por suas conseqüências sócio-econômicas e culturais. A ampliação do conceito patrimonial constitui-se em um desafio, pois permite desenvolver a memória e a história cultural-industrial e possibilita um maior entendimento da continuidade temporal entre passado-presente-futuro.
TERRAS INDÍGENAS E MODOS DE SER: O SENTIDO DO TEKOHA GUARANI E O PROBLEMA DA DEMARCAÇÃO DAS TERRAS INDÍGENAS NO BRASIL
Authors: Müller Mônica Gomes , Simioni Rafael Lazzarotto
Published: November 2017

O mundo ocidental desenvolveu um conceito de terra fundamentado em uma semântica genuinamente econômica da terra. O modo de vida dos povos indígenas demonstra uma experiência de entendimento do sentido da terra absolutamente diferente da cosmovisão da sociedade ocidental. A questão central desta pesquisa está na reflexão sobre o modo como o Direito tem estabelecido uma mediação entre o sentido econômico-ocidental da terra como propriedade e o sentido da tekoha das etnias Guarani, ou seja, o lugar do modo de ser Guarani. Nessa ordem de ideias, objetiva-se descrever o sentido da tekoha nas etnias Mbya, Nhandewa e Kaiowá para analisar a maneira como a linguagem do Direito reconhece esse sentido, como forma de mediação entre os direitos indígenas e a racionalidade econômica da terra como direito de propriedade. Para ser alcançado esse resultado, pretende-se analisar a diferença entre o sentido da terra para a cultura ocidental e o sentido da terra para os povos indígenas no Brasil. Em um segundo momento, analisa-se a legislação que institui a representação política do índio e a estrutura das primeiras instituições de reconhecimento e proteção dos direitos indígenas. No final, a pesquisa analisa a questão da demarcação das terras indígenas, colacionando os projetos de lei sobre o assunto e explicitando os discursos jurídicos que tangenciam essa problemática. Para serem atingidos esses objetivos, a pesquisa utiliza uma metodologia analítica e técnica de pesquisa bibliográfica. Em razão da desvantagem indígena de auto-representação política, esses povos ficam submetidos às decisões de representantes da sociedade civil e de instituições do Estado que agem em seu nome. Daí a importância dos direitos fundamentais constitucionais como garantias pétreas para fazer valer os direitos indígenas ainda que contra o interesse das maiorias políticas e suas razões econômico-ocidentais.
Harvest Interval Has Greater Effect on Periderm Maturity and Storage Quality of Early-maturing, Tablestock Potato than Nitrogen Rate
Authors: Makani Mildred N. , Sargent Steven A. , Zotarelli Lincoln , Huber Donald J. , Sims Charles A.
Published: November 2017

Early-maturing potato cultivars (Solanum tuberosum L.) grown in many subtropical and tropical regions are typically packed and shipped without curing. The objective of this study was to evaluate two early-maturing potato cultivars (‘Fabula’ and ‘Red LaSoda’) grown under four nitrogen fertilizer (NF) rates and harvested at three intervals after vine kill for effects on tuber physical and compositional quality at harvest and during storage. NF was applied through fertigation (0, 112, 224, or 336 kg·ha−1) and compared with granular NF application (224 kg·ha−1). The tubers were harvested weekly after vine kill (H1, H2, and H3) then evaluated for quality at 7 and 14 days during storage at 10 °C/80% to 85% relative humidity (RH). ‘Fabula’ tubers from H1 had the highest cumulative weight loss (3.6%) after 14 days of storage (season 1), while those from both H1 and H2 were highest (4.4%) in season 2, regardless of NF application method or rate. Tuber firmness increased by 1.5 newtons (N) for tubers from H1 after 7 days storage, and again by 0.76 N after 14 days for tubers from H2 and H3. Periderm dry matter content (DMC) for H1 tubers increased to 13.9% after 7 days, regardless of fertilizer treatment, in contrast to those from H2 or H3 where DMC remained constant throughout storage (10.6% and 11.4%, respectively). For ‘Red LaSoda’, cumulative weight loss in season 1 for H1 tubers was 2.2% after 14 days storage, whereas that for H2 and H3 tubers averaged 0.7%; this trend was similar for season 2. Periderm DMC significantly increased with increased storage time; that for H2 tubers was highest (19.6%) after 14 days. In both cultivars, tuber ascorbic acid content (AAC), soluble solids content (SSC), and total titratable acidity (TTA) remained constant throughout the 14-day storage period. Periderm maturity of ‘Fabula’ and ‘Red LaSoda’ potatoes had a greater effect on tuber physical and compositional quality during storage than the fertilizer rates or application methods. Fertigation at NF rates of 112, 224 or 336 kg·ha−1 was comparable with conventional granular NF application for growing high-quality tubers with acceptable postharvest life. Growing tubers at 112 kg·ha−1 nitrogen via fertigation has the potential to reduce both irrigation water usage and fertilizer runoff during the production cycle.
Effect of Phosphorus Rates on Growth, Yield, and Postharvest Quality of Tomato in a Calcareous Soil
Authors: Zhu Qiang , Ozores-Hampton Monica , Li Yuncong , Morgan Kelly , Liu Guodong , Mylavarapu Rao S.
Published: November 2017

Phosphorous (P) has a significant role in root growth, fruit and seed development, and plant disease resistance. Currently, no P fertilizer recommendations are available for vegetables grown on calcareous soils in Florida. The objective of this study was to evaluate the impact of different P rates on leaf tissue P concentration (LTPC), plant growth, biomass accumulation, fruit yield, and postharvest quality of tomato (Solanum lycopersicum L.) grown on a calcareous soil. The experiment was conducted with soils containing 13 to 15 mg·kg−1 of P extracted by ammonium bicarbonate-diethylenetriaminepentaacetic acid (AB-DTPA). Phosphorus fertilizers were applied at rates of 0, 29, 49, 78, 98, and 118 kg·ha−1 of P before laying polyethylene mulch. Tomatoes were grown using drip irrigation during the winter seasons of 2014 and 2015. No significant responses to P rates were found in LTPC during both growing seasons. Plant height, stem diameter, and leaf chlorophyll content at 30 days after transplanting (DAT) were significantly affected by P rates in 2015, but not in 2014. The responses of plant biomass were predicted by linear models at 60 DAT in 2014 and at 30 DAT in 2015. There were no significant differences in plant biomass at 95 DAT in both years. At the first and second combined harvest, the extralarge fruit yield was unaffected in 2014, but predicted by a quadratic-plateau model with a critical rate of 75 kg·ha−1 in 2015. The total season marketable yields (TSMY) and postharvest qualities were not significantly affected by P rates in either year. Phosphorous rate of 75 kg·ha−1 was sufficient to grow a tomato crop during the winter season in calcareous soils with 13–15 mg·kg−1 of AB-DTPA-extractable P.
Comparative Physiology of Natural Deacclimation in Ten Azalea Cultivars
Authors: Liu Bing , Zhou Hong , Cao Sha , Xia Yi-ping , Arora Rajeev
Published: November 2017

Seasonal deacclimation was investigated during Jan. to Mar. 2014 in leaves of 10 azalea cultivars (Rhododendron section Tsutsusi) under natural conditions in eastern China. Based on the midwinter leaf freezing tolerance (LFT), these cultivars were grouped as “more-hardy” vs. “less-hardy.” Eight of the 10 cultivars first showed deacclimation when daily mean temperature over 2-week period preceding the LFT measurement was ≈9.5 °C. Deacclimation for other two cultivars was somewhat delayed and might have involved deacclimation–reacclimation cycling before eventual deacclimation. Our data indicate that the “more-hardy” group deacclimated slower than the “less-hardy” ones over the first half of the deacclimation period. This trend reversed during the second half of the deacclimation period. Accordingly, “more-hardy” and “less-hardy” cultivars depicted a “curvilinear” and “reverse curvilinear/linear” deacclimation kinetics. “More-hardy” cultivars generally had higher total soluble sugars (TSS) than “less-hardy” ones at acclimated state. TSS declined during deacclimation in all cultivars, and the loss was positively correlated with the loss in LFT. Leaf starch content generally followed opposite trend to that of TSS, i.e., it was at lowest during acclimated state and increased during deacclimation.
Initial Substrate Moisture Content Affects Chemical Properties of Bagged Substrates Containing Controlled Release Fertilizer at Two Different Temperatures
Authors: Jeong Ka Yeon , Altland James E.
Published: November 2017

Bagged potting mixes can be stored for weeks or months before being used by consumers. Some bagged potting mixes are amended with controlled release fertilizers (CRFs). The objective of this research was to determine how initial substrate moisture content and storage temperature affect the chemical properties of bagged potting mix with CRF incorporated and stored for up to 180 days. The base substrate composed of 60 sphagnum peat: 30 bark : 10 perlite (by vol.) amended with 5.5 g·L−1 dolomitic limestone and 0.5 g·L−1 granular wetting agent. This base substrate was either not amended with additional fertilizer (control) or amended with 0.59 kg·m−3 N of a CRF (Osmocote 18N–1.3P–5K) that was either ground (CRF-G) or whole prills (CRF-P). Substrates had initial moisture contents (IMCs) of 25%, 45%, or 65% and were stored at temperatures of either 20 or 40 °C. IMC and fertilizer type affected pH, electrical conductivity (EC), and nutrient release. Substrate pH increased with increasing IMC due to greater lime reactivity. About 25% of N from CRF-G treatments was immobilized between 2 and 14 days of storage. Low moisture content of bags, due to low IMC or storage at 40 °C, reduced the rate of N release from CRF-P treatments. Substrate P was rapidly immobilized by microbial communities.
Chemigation with Micronized Sulfur Rapidly Reduces Soil pH in a New Planting of Northern Highbush Blueberry
Authors: Almutairi Khalid F. , Machado Rui M.A. , Bryla David R. , Strik Bernadine C.
Published: November 2017

Northern highbush blueberry (Vaccinium corymbosum L.) is adapted to acidic soil conditions and often grows poorly when soil pH is greater than 5.5. When soil pH is high, growers will usually mix prilled elemental sulfur (So) into the soil before planting (converted to sulfuric acid by soil bacteria) and, if needed, inject acid into the irrigation water after planting. These practices are effective but often expensive, time consuming, and, in the case of acid, potentially hazardous. Here, we examined the potential of applying micronized So by chemigation through a drip system as an alternative to reduce soil pH in a new planting of ‘Duke’ blueberry. The planting was located in western Oregon and established on raised beds mulched with sawdust in Oct. 2010. The So product was mixed with water and injected weekly for a period of ≈2 months before planting and again for period of ≈2 months in late summer of the second year after planting (to assess its value for reducing soil pH once the field was established), at a total rate of 0, 50, 100, and 150 kg·ha−1 So on both occasions. Each treatment was compared with the conventional practice of incorporating prilled So into the soil before planting (two applications of 750 kg·ha−1 So each in July and Oct. 2010). Within a month of the first application of So, chemigation reduced soil pH (0–10 cm depth) from an average of 6.6 with no So to 6.1 with 50 kg·ha−1 So and 5.8 with 100 or 150 kg·ha−1 So. However, the reductions in pH were short term, and by May of the following year (2011), soil pH averaged 6.7, 6.5, 6.2, and 6.1 with each increasing rate of So chemigation, respectively. Soil pH in the conventional treatment, in comparison, averaged 6.6 a month after the first application and 6.3 by the following May. In July 2012, soil pH ranged from an average of 6.4 with no So to 6.2 with 150 kg·ha−1 So and 5.5 with prilled So. Soil pH declined to as low as 5.9 following postplanting So chemigation and, at lower depths (10–30 cm), was similar between the treatment chemigated with 150 kg·ha−1 So and the conventional treatment. None of the treatments had any effect on winter pruning weight in year 1 or on yield, berry weight, or total dry weight of the plants in year 2. Concentration of P, K, Ca, Mg, S, and Mn in the leaves, on the other hand, was lower with So chemigation than with prilled So during the first year after planting, whereas concentration of N, P, and S in the leaves were lower with So chemigation during the second year. The findings indicate that So chemigation can be used to quickly reduce soil pH after planting and therefore may be a useful practice to correct high pH problems in established northern highbush blueberry fields; however, it was less effective and more time consuming than applying prilled So before planting.
DEVELOPMENT OF SOFT SENSOR TO ESTIMATE MULTIPHASE FLOW RATES USING NEURAL NETWORKS AND EARLY STOPPING
Authors: AL-Qutami Tareq Aziz , Ibrahim Rosdiazli , Ismail Idris , Ishak Mohd Azmin
Published: November 2017

This paper proposes a soft sensor to estimate phase flow rates utilizing common measurements in oil and gas production wells. The developed system addresses the limited production monitoring due to using common metering facilities. It offers a cost-effective solution to meet real-time monitoring demands, reduces operational and maintenance costs, and acts as a back-up to multiphase flow meters. The soft sensor is developed using feed-forward neural network, and generalization and network complexity are regulated using K-fold cross-validation and early stopping technique. The soft sensor is validated using actual well test data from producing wells, and model performance is analyzed using cumulative deviation and cumulative flow plots. The developed soft sensor shows promising performance with a mean absolute percent error of around 4% and less than 10% deviation for 90% of the samples.
FEATURES, OPERATION PRINCIPLE AND LIMITS OF SPI AND I2C COMMUNICATION PROTOCOLS FOR SMART OBJECTS: A NOVEL SPI-BASED HYBRID PROTOCOL ESPECIALLY SUITABLE FOR IoT APPLICATIONS
Authors: Visconti P. , Giannotta G. , Brama R. , Primiceri P. , Malvasi A. , Centuori A.
Published: November 2017

The Internet of Things (IoT) is an expression, sometimes abused by companies given the absence of an unambiguous meaning, that indicates the upcoming evolution of Internet as it has been known so far. In fact, all objects will have network capabilities which will be exploited to overcome, in certain situations, human intervention. Thanks to the direct cooperation of new class of devices, aware of their operating scenario and interconnected in subnetworks, our life style will be strongly enhanced and simplified. IoT, however, is not yet the “El Dorado” of technology, capable of revolutionizing everyday life: some aspects and open issues have to be carefully analyzed. The huge complexity of this new technology forces companies to select a specific research field: for this reason, they focus only on some features that an IoT device should have to guarantee fulfillment of requirements. In this context, this research work concerns an analysis of features, operation principle and limits of SPI and I2C communication protocols followed by the proposal of a new hybrid protocol suited for embedded systems, named FlexSPI, thought as an evolution of the classic SPI. Thanks to a robust software architecture, it is able to provide many features that can be used by smart objects to enhance their capabilities. In this way, sensors and actuators or, more in general, subsystems, can quickly exchange data and efficiently react to malfunctioning; moreover, number of devices on bus can be safely increased even while smart object is performing operations.
A REVIEW ON MULTIPLE-FEATURE-BASED ADAPTIVE SPARSE REPRESENTATION (MFASR) AND OTHER CLASSIFICATION TYPES
Authors: Srinivasan S. , Rajakumar K.
Published: November 2017

A new technique Multiple-feature-based adaptive sparse representation (MFASR) has been demonstrated for Hyperspectral Images (HSI’s) classification. This method involves mainly in four steps at the various stages. The spectral and spatial information reflected from the original Hyperspectral Images with four various features. A shape adaptive (SA) spatial region is obtained in each pixel region at the second step. The algorithm namely sparse representation has applied to get the coefficients of sparse for each shape adaptive region in the form of matrix with multiple features. For each test pixel, the class label is determined with the help of obtained coefficients. The performances of MFASR have much better classification results than other classifiers in the terms of quantitative and qualitative percentage of results. This MFASR will make benefit of strong correlations that are obtained from different extracted features and this make use of effective features and effective adaptive sparse representation. Thus, the very high classification performance was achieved through this MFASR technique.
UNSUPERVISED LEARNING FOR RIPENESS ESTIMATION FROM GRAPE SEEDS IMAGES
Authors: Hernández S. , Morales L. , Urrutia A.
Published: November 2017

Estimating the current stage of grape ripeness is a crucial step in wine making and becomes especially important during harvesting. Visual inspection of grape seeds is one method to achieve this goal without performing chemical analysis, however this method is prone to failure. In this paper, we propose an unsupervised visual inspection system for grape ripeness estimation using the Dirichlet Mixture Model (DMM). Experimental analysis using real world data demonstrates that our approach can be used to estimate different ripeness stages from unlabeled grape seeds catalogs.
DESIGNING AND PROTOTYPING A SENSORS HEAD FOR TEST AND CERTIFICATION OF UAV COMPONENTS
Authors: Adamo Francesco , Andria Gregorio , Nisio Attilio Di , Lay-Ekuakille Aimé , Mattencini Giuseppe , Spadavecchia Maurizio
Published: November 2017

The project proposed in this paper deals with the design and the development of an embedded test system able to characterize both electrical and mechanical performances of UAVs (Unmanned Aerial Vehicles) propulsion subsystems (motor and propeller). The measurement data that can be collected are of great interest for professional applications, as well as for amateur makers. Starting from the measures acquired by the presented system, it will be possible to deliver certificates that guarantee the customer that the performances obtained by the drone are compliant to what declared by the seller.
Hybrid Data Approach for Selecting Effective test Cases During the Regression Testing
Authors: Mohan M. , Shrimali Tarun
Published: November 2017

In the software industry, software testing becomes more important in the entire software development life cycle. Software testing is one of the fundamental components of software quality assurances. Software Testing Life Cycle (STLC)is a process involved in testing the complete software, which includes Regression Testing, Unit Testing, Smoke Testing, Integration Testing, Interface Testing, System Testing & etc. In the STLC of Regression testing, test case selection is one of the most important concerns for effective testing as well as cost of the testing process. During the Regression testing, executing all the test cases from existing test suite is not possible because that takes more time to test the modified software. This paper proposes new Hybrid approach that consists of modified Greedy approach for handling the test case selection and Genetic Algorithm uses effective parameter like Initial Population, Fitness Value, Test Case Combination, Test Case Crossover and Test Case Mutation for optimizing the tied test suite. By doing this, effective test cases are selected and minimized the tied test suite to reduce the cost of the testing process. Finally the result of proposed approach compared with conventional greedy approach and proved that our approach is more effective than other existing approach.
An Anti-Emulation Structure for Internet Despository Using Secured Image Validation Scheme
Authors: Anupriyan K , Santhosh kumar C , Nagaraj N
Published: November 2017

Emulation attack is an effort by an individual or a group to steal personal confidential information such as passwords, credit card information etc, New approach called visual secret sharing scheme (VSS) for cloning websites classification to solve the problem of Phishing attack. The novel system is developed with the things that eradicate the drawbacks of the existing system. The main aim of visual secret sharing scheme is to conserves the solitude of image by decay the original image into two shares that as been stocked in independent database servers such that the authentic image can be revealed only when they are equally gathered. The specific sheet of representation does not declare the status of the original visual image which was generated previously. Once the unique visual image is discovered to the user then that picture can be used as a password for detecting phishing. In the proposed system, privacy enabled secure database is built. The security level is much enhanced from its actual level. The authentication process can be secured by using double level security.
Dynamic Face Recognition and Tracking System Using Machine Learning in Matlab and Bigdata
Authors: Leo Evenss P.J , Jennings Mcenroe S. , Prabhu Chakkaravarthy A.
Published: November 2017

Face Recognition being one of the methods in identifying individuals is getting enhanced at a faster rate. This paper demonstrates the process of detection of faces of the individuals through a live monitoring camera using matlab and also aids in tracking them. The large amount of images being collected at each second is stored in big databases like Hadoop-databases(hbase) or Mongodb as they are known for their higher processing speed. The facial features are extracted from all the images and are trained into the databases using machine learning algorithm. The tracking of individuals can be achieved by capturing their images while on the move and comparing them with the values stored in the databases. The detection of facial structure is done with Viola-Jones algorithm which though older is easy and efficient to use and Kanade-Lucas-Tomasi(KLT) algorithm is used for feature extraction . The HOG (Histogram of Oriented Gradients) features are extracted for training.
Design of NFC Reader for Enhancement of Mobile Payments
Authors: Chakravarthy P. , Thamizhoviya.K Kavitha S. , Meena S.
Published: November 2017

The NFC concept was mainly based on RFID tags which has the frequency range of 13.56MHz.NFC concept was initially determined to exchange data between two devices at very short distance. RFID uses electromagnetic fields to automatically identify and trace tags attached to objects which contain electronically stored information. The major problem with the RFID tags was their cost and the RFID tags had the possibility to be interfered with metals and liquids when we try to read them. There is a possibility of unauthorized reading of passports and credit cards. NFC readers are more secure and hence the NFC enabled credit cards are much safer than a credit card with magnetic strip. We specially use PIC16F877A for the purpose of matching the details in mobile phone with the information in the NFC reader that are required to make mobile payments.
Multi_level Secure From Web Intrusion and Query Attacks on Web Database
Authors: Nirmala Kumari R , Mala V
Published: November 2017

Most data frameworks and business applications assembled these days have a web frontend and they should be generally accessible to customers, representatives and accomplices around the globe, as the computerized economy is turning out to be increasingly pervasive in the worldwide economy. Strategy and a model instrument to assess web application security components. In this paper, we along these lines propose to make trusted equipment a top notch national in the safe information administration field. Additionally, we trust that cost-driven bits of knowledge and compositional standards will generally change the way frameworks and calculations are planned. We present an outsourced database model that permits customers to execute SQL questions with security and under administrative consistence imperatives by utilizing server-facilitated, sealed trusted equipment in basic inquiry preparing stages, along these lines expelling any confinements on the kind of bolstered inquiries.
Performance and Analysis of Automatic License Plate Localization and Recognition from Video Sequences
Authors: Anto Bennet M. , Thamilvalluvan B. , Alphonse Priyanka Paree , Thendralarasi D.R. , Sujithra K.
Published: November 2017

The works presents license plate recognition system using connected component analysis and template matching model for accurate identification. Automatic license plate recognition (ALPR) is the extraction of vehicle license plate information from an image. The system model uses already captured images for this recognition process. First the recognition system starts with character identification based on number plate extraction, Splitting characters and template matching. ALPR as a real life application has to quickly and successfully process license plates under different environmental conditions, such as indoors, outdoors, day or night time. It plays an important role in numerous real-life applications, such as automatic toll collection, traffic law enforcement, parking lot access control, and road traffic monitoring. The system uses different templates for identifying the characters from input image. After character recognition, an identified group of characters will be compared with database number plates for authentication. The proposed model has low complexity and less time consuming interms of number plate segmentation and character recognition. This can improve the system performance and make the system more efficient by taking relevant sample.
A Wearable Multiparameter Medical Monitoring and Alert System with First Aid
Authors: Manimaraboopathy M. , Vijayalakshmi S. , Hemavathy D. , Priya A.
Published: November 2017

The main aim of the paper is biomedical monitoring of human being. Biomedical values are heart rate ,blood pressure ,body temperature and here we use a GPRS module and biomedical monitoring sensor and data from these sensor are updated to the web server and in addition to that we use an automated external defibrillator(AED) which automatically diagnosis the cardiac arrhythmia of ventricular fibrillation, and pulse less ventricular tachycardia and is able to deal them with an defibrillation, the requisition of electrical therapy which stops arrhythmia , allowing the heart to reestablish the normal rhythm when compare to regular defibrillator it require minimal training to use. Biomedical monitoring promises to give an overview of cardiovascular system non -invasively and this will be easy to use and operate without hospitalization.
Temporal Query Processig Using Sql Server
Authors: Shaik Mastan Vali , Sujatha P
Published: November 2017

Most data sources in real-life are not static but change their information in time. This evolution of data in time can give valuable insights to business analysts. Temporal data refers to data, where changes over time or temporal aspects play a central role. Temporal data denotes the evaluation of object characteristics over time. One of the main unresolved problems that arise during the data mining process is treating data that contains temporal information. Temporal queries on time evolving data are at the heart of a broad range of business and network intelligence applications ranging from consumer behaviour analysis, trend analysis, temporal pattern mining, and sentiment analysis on social media, cyber security, and network monitoring. Social networks (SN) such as Facebook, twitter, LinkedIn contains huge amount of temporal information. Social media forms a dynamic and evolving environment. Similar to real-world friendships, social media interactions evolve over time. People join or leave groups; groups expand, shrink, dissolve, or split over time. Studying the temporal behaviour of communities is necessary for a deep understanding of communities in social media(SM). In this paper we focus on the use of temporal data and temporal data mining in social networks.
Optical Flow Algorithm for Velocity Estimation of Ground Vehicles: A Feasibility Study
Authors: Chhaniyara Savan , Bunnun Pished , Seneviratne Lakmal D. , Althoefer Kaspar
Published: November 2017

This paper presents a novel velocity estimation method for all terrain ground vehicles. The technique is based on a camera that scans the ground and estimates the velocity by using an optical flow algorithm. The method is tested and validated for different types of terrains such as fine sand, coarse sand, gravel as well as a mixture of coarse sand and gravel. Measured velocities from precise encoders are compared with the velocities predicted by the optical flow algorithm, showing promising potential for implementation of the suggested approach in ground vehicles. Investigations have been carried out to determine the optimal feature window size and the influence of camera height on optical flow velocity estimates. Detailed laboratory experiments were carried out to validate the velocity estimation technique and results indicate the usefulness of the proposed method for velocity estimation of ground vehicles.
Electrical Impedance Response of a Thick-Thin film Hybrid Anodic Nanoporous Alumina Sensor to Methanol Vapors.
Authors: Radzik Christopher , Kocanda G. Martin , Haji-Sheikh Michael , Ballantine David S.
Published: November 2017

The response of an anodic aluminum oxide (AAO) nanoporous humidity sensor to an organic vapor such as methanol is presented in this paper. Sensors constructed at Northern Illinois University were exposed to various organic vapors. The characteristic response of the sensor to various vapor dilutions was analyzed using real and complex impedance parameters.
A Design Analysis Of Micromirrors In Stacked Configurations With Moving Electrodes
Authors: Park Sangtak , Chung So-Ra , Yeow John T.W.
Published: November 2017

Micromirrors fabricated by MEMS technology have demonstrated to be important sensing or actuating components in many industrial and biomedical applications such as laser scanning displays, optical switch matrices, and biomedical imaging systems. In this paper, various actuation mechanisms for micromirrors are described. A new geometric configuration of a stacked micromirror that is actuated by electrostatic force is proposed and analyzed to show its superior performance in terms of deflection angle, actuation voltage, and frequency response
A Novel Method For The Improvement In Thermoelectric Property Of Tin Oxide Thin Films And Its Application In Gas Sensing
Authors: S Anuradha , Rajanna K.
Published: November 2017

Tin oxide thin film deposited on to glass substrates by the process of DC reactive magnetron sputtering has been used in our work. These films were characterized for their thermoelectric behavior. Further, a novel method has been developed to enhance the Seebeck coefficient of these films. Prior to the oxide film deposition on the glass substrate, thin metal films have been deposited at the two ends of the sample. High conductivity metals such as chromium, silver and copper were used for this purpose. On characterizing these films for their thermoelectric property, a high Seebeck coefficient of 400 μV/°C has been achieved. In addition to this, we also report the results of the gas sensing behavior of a sensor developed using this film which exhibited a maximum response to acetone gas at a relatively low temperature of 110 °C.
Automatic Adjustment For Laser Systems Using A Stochastic Binary Search Algorithm To Cope With Noisy Sensing Data
Authors: Nosato Hirokazu , Murata Nobuharu , Furuya Tatsumi , Murakawa Masahiro
Published: November 2017

For laser systems, the adjustment of the optical axes is crucial. However, it is difficult for conventional methods to adjust the optical axes because they require high-precision positioning with μm resolutions and because laser systems have many adjustment points that have an interdependent relationship. We have proposed an automatic adjustment method using genetic algorithms to overcome this problem. However, there are still two problems that need to be solved: (1) long adjustment times, and (2) adjustment precision due to observational noise. In order to solve these problems, we propose a robust and efficient automatic adjustment method for the optical axes of laser systems using a binary search algorithm. Adjustment experiments for optical axes with 4-DOF demonstrate that the adjustment time could be reduced to half the conventional adjustment time with the genetic algorithm. Adjustment precision was enhanced by 60%
Observations And Restrictions For Tracking Indices Measurement In Materials Testing
Authors: Fuchs A. , Zangl H.
Published: November 2017

The testing of various carrier materials for circuit paths on the basis of tracking indices determination is of particular interest for many modern sensing technologies, especially for technologies based on capacitive methods, as well as for the protection of circuitries by means of sealing in insulator material. This paper discusses observations for the determination of the tracking indices for elastic insulators according to the DIN standard EN 60112. The appearance of burn-in patterns on the insulator surface and the peculiar decrease of current peak amplitudes with increasing number of electrolyte droplets are investigated and possible causes are discussed, based on Finite Element Analysis and camera images of conducted experiments
Implementation of linear trace moisture sensor by nano porous thin film moisture sensor and NLAmp
Authors: Ghara Dilip Kumar , Saha Debdulal , Sengupta Kamalendu
Published: November 2017

Almost all type of moisture sensors has a non-linear response. With out linearization it is difficult to apply such a non-linear sensor in electronics circuits, specially in analog electronics. Non linear sensor and transducers characteristic can be linearized using analog electronics or digital electronics. In this paper a method of linearization of such non-linear sensors characteristics using analog electronics is described. Theoretical explanation of the methods and its verification by experiment is stated in this paper. It may possible to linearize any non linear characteristic using this method. We use thin film nano porous trace humidity sensor as a non linear device for the circuit justification. The fabrication process of the sensor is also described in this paper.
Dynamic Measurements and Dynamically-Functioning Objects- Time Is to Look at Reality
Authors: Abramchuk G. , Abramchuk K.
Published: November 2017

It is shown that many dynamic tests and measurement technologies base on a changing measurement equation and that internal and external disturbances may change the dynamic functional of the same object and that the reaction of measurement transducer (measurement channel) changes not only in dependence on type of loads. The reasons are given which cause methodical metering errors and make it difficult to build idealized smart sensing and intelligent systems