bluuebunny/crossref_metadata_2025 huggingface dataset:
Effect of variety and nitrogen rate on the yield performance of boro rice
Authors: Chamely SG , Islam N , Hoshain S , Rabbani MG , Kader MA , Salam MA
Published: October 2015

An experiment was conducted at the Agronomy Field Laboratory, Bangladesh Agricultural University, Mymensingh during the period from November 2010 to May 2011 to study the effect of variety and rate of nitrogen on the performance of Boro rice. The experiment comprised three varieties viz., BRRI dhan28 (V1), BRRI dhan29 (V2) and BRRI dhan45 (V3); and five rates of nitrogen viz., control (N0), 50 kg  (N1), 100 kg (N2), 150 kg  (N3)and 200 kg  (N4) N ha-1. The experiment was laid out in a randomized complete block design with four replications. The growth analysis results indicate that the tallest plant (80.88 cm) and the highest number of total tillers hill-1 (13.80) were observed in BRRI dhan29 at 70 DATs and the highest total dry matter (66.41 g m-2) was observed in BRRI dhan45. The shortest plant (78.15 cm) and the lowest number of tillers hill-1 (12.41) were recorded from BRRI dhan45 and the lowest dry matter (61.24 g) was observed in BRRI dhan29. The tallest plants (84.01 cm), highest number of tillers hill-1 (14.06) and the highest dry matter (69.58 g m-2) were obtained from 200 kg N ha-1. The tallest plants (86.48 cm) and maximum dry matter (72.30 g m-2) were recorded from BRRI dhan28 with 200 kg N ha-1 and BRRI dhan45 with 200 kg N ha-1, respectively. The highest number of tillers hill-1 (15.14) was obtained from BRRI dhan29 with 50 kg N ha-1. The harvest data reveal that variety had significant effect on total tillers hill-1, effective tillers hill-1, non-effective tillers hill-1, panicle length, grain yield, straw yield and harvest index. The highest grain yield (4.84 t ha-1) was recorded from BRRI dhan29. The results of the experiment also indicate that total tillers hill-1, effective tillers hill-1, grains panicle-1, sterile spikelets panicle-1, grain yield, straw yield and harvest index were significantly affected by levels of nitrogen, while plant height, panicle length, 1000-grain weight were not significantly affected by levels of nitrogen. The highest grain yield (5.58 t ha-1) was obtained from 200 kg N ha-1. Interaction effect of variety × 200 kg N ha-1 produced the highest grain yield (5.82 t ha-1). From the results of the study it may be concluded that BRRI dhan29 rice may be cultivated with 200 kg N ha-1 for obtaining higher yield in AEZ 9 of Bangladesh.Progressive Agriculture 26:6-14, 2015
A Second Chamber for the Scottish Parliament?
Authors: MacQueen Hector L.
Published: October 2015

In the light of renewed interest about a second chamber for the Scottish Parliament, this paper (a revised version of one first published in 2003) discusses the reasons why such a chamber might be thought necessary, in particular protection from the ‘tyranny of the majority’; the roles played by a second chamber in initiating as well as revising and reviewing legislation; and representing a territory's constituent regions. The paper next analyses how such ‘second chamber functions’ are currently discharged in the Scottish Parliament, suggesting that these are not yet adequate or sufficiently strong. The paper concludes by assessing the form a second chamber might take, including its size, its election/appointment, and qualifications for membership.
Three Welsh Leaders in Search of a Constitutional Future for their Country
Authors: Osmond John
Published: October 2015

In the immediate wake of the 2015 general election Leanne Wood, leader of Plaid Cymru, Stephen Crabb, the Conservative Secretary of State for Wales, and Carwyn Jones, Labour's First Minister in the Welsh Government, all made interventions in the constitutional debate about the future of the United Kingdom. Leanne Wood recalibrated her party's position on independence to advocate a UK confederation. Carwyn Jones pressed the case for a federation. And Stephen Crabb said the present devolution arrangements should be extended and given greater coherence. In making their arguments all three underlined how strongly they were influenced by developments in Scotland. But all three will have to confront the realities of English governance if the changes they are supporting are to have any chance of being implemented.
‘The UK's strength is that everybody's in’: Scottish-American Reactions to the 2014 Independence Referendum
Authors: Mackie Alan , Hague Euan
Published: October 2015

To explore US perspectives on the 2014 Independence Referendum, we assessed media coverage of the campaign and newspaper editorials, pairing these commentaries with interviews of Scottish-Americans conducted in the month immediately following the vote. Many in the United States perceived the referendum to be a model of participatory democracy, and recognized the complex issues that faced Scottish voters. In common with those in Scotland, economic concerns were primary, but added to these was an assessment of the USA's military relationship with the UK. We conclude by suggesting that American awareness of current Scottish politics was enhanced by the referendum campaign and discussions of it within the diaspora community.
(Re)framing the ‘Kurdish Issue’ Through the 2014 Scottish Referendum: Reflections on Turkish Newspapers
Authors: Karahasan Canan Nese
Published: October 2015

This paper lays out competing knowledge and opinion on the 2014 Scottish Referendum in Turkish mainstream newspapers. It investigates how allegedly pro-government (Akşam, Sabah, Milliyet) and opposition (Cumhuriyet, Hürriyet, Zaman) newspapers deliberated, reconstructed and reframed Turkey's key ‘internal others’ – Kurdish people – through the prism of the Scottish referendum. An open-coded review of 39 opinion columns written before and after the Scottish referendum reveals two main discussion points: (1) Turkey's conceptualisation of the Scottish referendum and (2) the (in)comparability of the Kurdish and Scottish cases. The concepts used by Turkish elites in their understandings of Kurds are used in the ‘negative’ reframing of the Scottish referendum by Turkish columnists. This negativity is historically rooted in concerns and fears about Kurdish claims for independence, allegedly supported by ‘foreign’ forces to dismantle the unity of the nation-state. The paper argues that columnists’ debates around the Scottish referendum feed from the longevity of statist discourses, which deny, ‘problematise’ and fear the Kurdish issue.
From a Reductionist to a Holistic Approach in Preventive Nutrition to Define New and More Ethical Paradigms
Authors: Fardet Anthony , Rock Edmond
Published: October 2015

This concept paper intends to define four new paradigms for improving nutrition research. First, the consequences of applying a reductionist versus a holistic approach to nutrition science will be discussed. The need for a more focused preventive nutrition approach, as opposed to a curative one, will then be presented on the basis of the ‘healthy core metabolism’ concept. This will lead us to propose a new classification of food products based on processing for future epidemiological studies. As a result of applying the holistic approach, health food potential will be redefined based on both food structure and nutrient density. These new paradigms should help define a more ethical preventive nutrition for humans to improve public recommendations while preserving the environment.
Commercial Honeybush (Cyclopia spp.) Tea Extract Inhibits Osteoclast Formation and Bone Resorption in RAW264.7 Murine Macrophages—An in vitro Study
Authors: Visagie Amcois , Kasonga Abe , Deepak Vishwa , Moosa Shaakirah , Marais Sumari , Kruger Marlena , Coetzee Magdalena
Published: October 2015

Honeybush tea, a sweet tasting caffeine-free tea that is indigenous to South Africa, is rich in bioactive compounds that may have beneficial health effects. Bone remodeling is a physiological process that involves the synthesis of bone matrix by osteoblasts and resorption of bone by osteoclasts. When resorption exceeds formation, bone remodeling can be disrupted resulting in bone diseases such as osteoporosis. Osteoclasts are multinucleated cells derived from hematopoietic precursors of monocytic lineage. These precursors fuse and differentiate into mature osteoclasts in the presence of receptor activator of NF-kB ligand (RANKL), produced by osteoblasts. In this study, the in vitro effects of an aqueous extract of fermented honeybush tea were examined on osteoclast formation and bone resorption in RAW264.7 murine macrophages. We found that commercial honeybush tea extract inhibited osteoclast formation and TRAP activity which was accompanied by reduced bone resorption and disruption of characteristic cytoskeletal elements of mature osteoclasts without cytotoxicity. Furthermore, honeybush tea extract decreased expression of key osteoclast specific genes, matrix metalloproteinase-9 (MMP-9), tartrate resistant acid phosphatase (TRAP) and cathepsin K. This study demonstrates for the first time that honeybush tea may have potential anti-osteoclastogenic effects and therefore should be further explored for its beneficial effects on bone.
Understanding Walking Behavior among University Students Using Theory of Planned Behavior
Authors: Sun Guibo , Acheampong Ransford , Lin Hui , Pun Vivian
Published: October 2015

Walking has been shown to improve physical and mental well-being, yet insufficient walking among university students has been increasingly reported. This study aimed to understand walking behavior of university students using theory of planned behavior (TPB). We recruited 169 undergraduate students by university mass email of the Chinese University of Hong Kong, and first administered a salient belief elicitation survey, which was used to design the TPB questionnaire, to a subset of the study sample. Secondly, all participants completed the TPB questionnaire and walking-oriented diary in a two-day period in December 2012. We mapped the walking behavior data obtained from the diary using geographic information system, and examined the extent to which TPB constructs explained walking intentions and walking behavior using Structural equation model (SEM). We found perceived behavioral control to be the key determinant of walking intention. Shaped by participants’ perceived behavioral control, attitude toward walking and subjective norms, and behavioral intention, in turn had a moderate explanatory effect on their walking behavior. In summary, our findings suggest that walking behavior among university students can be understood within the TPB framework, and could inform walking promotion interventions on the university campuses.
Spatiotemporal Data Mining: A Computational Perspective
Authors: Shekhar Shashi , Jiang Zhe , Ali Reem , Eftelioglu Emre , Tang Xun , Gunturi Venkata , Zhou Xun
Published: October 2015

Explosive growth in geospatial and temporal data as well as the emergence of new technologies emphasize the need for automated discovery of spatiotemporal knowledge. Spatiotemporal data mining studies the process of discovering interesting and previously unknown, but potentially useful patterns from large spatiotemporal databases. It has broad application domains including ecology and environmental management, public safety, transportation, earth science, epidemiology, and climatology. The complexity of spatiotemporal data and intrinsic relationships limits the usefulness of conventional data science techniques for extracting spatiotemporal patterns. In this survey, we review recent computational techniques and tools in spatiotemporal data mining, focusing on several major pattern families: spatiotemporal outlier, spatiotemporal coupling and tele-coupling, spatiotemporal prediction, spatiotemporal partitioning and summarization, spatiotemporal hotspots, and change detection. Compared with other surveys in the literature, this paper emphasizes the statistical foundations of spatiotemporal data mining and provides comprehensive coverage of computational approaches for various pattern families. ISPRS Int. J. Geo-Inf. 2015, 4 2307 We also list popular software tools for spatiotemporal data analysis. The survey concludes with a look at future research needs.
Heat Killed Lactobacillus reuteri GMNL-263 Reduces Fibrosis Effects on the Liver and Heart in High Fat Diet-Hamsters via TGF-β Suppression
Authors: Ting Wei-Jen , Kuo Wei-Wen , Hsieh Dennis , Yeh Yu-Lan , Day Cecilia-Hsuan , Chen Ya-Hui , Chen Ray-Jade , Padma Viswanadha , Chen Yi-Hsing , Huang Chih-Yang
Published: October 2015

Obesity is one of the major risk factors for nonalcoholic fatty liver disease (NAFLD), and NAFLD is highly associated with an increased risk of cardiovascular disease (CVD). Scholars have suggested that certain probiotics may significantly impact cardiovascular health, particularly certain Lactobacillus species, such as Lactobacillus reuteri GMNL-263 (Lr263) probiotics, which have been shown to reduce obesity and arteriosclerosis in vivo. In the present study, we examined the potential of heat-killed bacteria to attenuate high fat diet (HFD)-induced hepatic and cardiac damages and the possible underlying mechanism of the positive effects of heat-killed Lr263 oral supplements. Heat-killed Lr263 treatments (625 and 3125 mg/kg-hamster/day) were provided as a daily supplement by oral gavage to HFD-fed hamsters for eight weeks. The results show that heat-killed Lr263 treatments reduce fatty liver syndrome. Moreover, heat-killed Lactobacillus reuteri GMNL-263 supplementation in HFD hamsters also reduced fibrosis in the liver and heart by reducing transforming growth factor β (TGF-β) expression levels. In conclusion, heat-killed Lr263 can reduce lipid metabolic stress in HFD hamsters and decrease the risk of fatty liver and cardiovascular disease.
Identification of Molecular Fingerprints in Human Heat Pain Thresholds by Use of an Interactive Mixture Model R Toolbox (AdaptGauss)
Authors: Ultsch Alfred , Thrun Michael , Hansen-Goos Onno , Lötsch Jörn
Published: October 2015

Biomedical data obtained during cell experiments, laboratory animal research, or human studies often display a complex distribution. Statistical identification of subgroups in research data poses an analytical challenge. Here were introduce an interactive R-based bioinformatics tool, called “AdaptGauss”. It enables a valid identification of a biologically-meaningful multimodal structure in the data by fitting a Gaussian mixture model (GMM) to the data. The interface allows a supervised selection of the number of subgroups. This enables the expectation maximization (EM) algorithm to adapt more complex GMM than usually observed with a noninteractive approach. Interactively fitting a GMM to heat pain threshold data acquired from human volunteers revealed a distribution pattern with four Gaussian modes located at temperatures of 32.3, 37.2, 41.4, and 45.4 °C. Noninteractive fitting was unable to identify a meaningful data structure. Obtained results are compatible with known activity temperatures of different TRP ion channels suggesting the mechanistic contribution of different heat sensors to the perception of thermal pain. Thus, sophisticated analysis of the modal structure of biomedical data provides a basis for the mechanistic interpretation of the observations. As it may reflect the involvement of different TRP thermosensory ion channels, the analysis provides a starting point for hypothesis-driven laboratory experiments.
Gut Microbiota and Host Reaction in Liver Diseases
Authors: Fukui Hiroshi
Published: October 2015

Although alcohol feeding produces evident intestinal microbial changes in animals, only some alcoholics show evident intestinal dysbiosis, a decrease in Bacteroidetes and an increase in Proteobacteria. Gut dysbiosis is related to intestinal hyperpermeability and endotoxemia in alcoholic patients. Alcoholics further exhibit reduced numbers of the beneficial Lactobacillus and Bifidobacterium. Large amounts of endotoxins translocated from the gut strongly activate Toll-like receptor 4 in the liver and play an important role in the progression of alcoholic liver disease (ALD), especially in severe alcoholic liver injury. Gut microbiota and bacterial endotoxins are further involved in some of the mechanisms of nonalcoholic fatty liver disease (NAFLD) and its progression to nonalcoholic steatohepatitis (NASH). There is experimental evidence that a high-fat diet causes characteristic dysbiosis of NAFLD, with a decrease in Bacteroidetes and increases in Firmicutes and Proteobacteria, and gut dysbiosis itself can induce hepatic steatosis and metabolic syndrome. Clinical data support the above dysbiosis, but the details are variable. Intestinal dysbiosis and endotoxemia greatly affect the cirrhotics in relation to major complications and prognosis. Metagenomic approaches to dysbiosis may be promising for the analysis of deranged host metabolism in NASH and cirrhosis. Management of dysbiosis may become a cornerstone for the future treatment of liver diseases.
Membrane Potential and Calcium Dynamics in Beta Cells from Mouse Pancreas Tissue Slices: Theory, Experimentation, and Analysis
Authors: Dolenšek Jurij , Špelič Denis , Klemen Maša , Žalik Borut , Gosak Marko , Rupnik Marjan , Stožer Andraž
Published: October 2015

Beta cells in the pancreatic islets of Langerhans are precise biological sensors for glucose and play a central role in balancing the organism between catabolic and anabolic needs. A hallmark of the beta cell response to glucose are oscillatory changes of membrane potential that are tightly coupled with oscillatory changes in intracellular calcium concentration which, in turn, elicit oscillations of insulin secretion. Both membrane potential and calcium changes spread from one beta cell to the other in a wave-like manner. In order to assess the properties of the abovementioned responses to physiological and pathological stimuli, the main challenge remains how to effectively measure membrane potential and calcium changes at the same time with high spatial and temporal resolution, and also in as many cells as possible. To date, the most wide-spread approach has employed the electrophysiological patch-clamp method to monitor membrane potential changes. Inherently, this technique has many advantages, such as a direct contact with the cell and a high temporal resolution. However, it allows one to assess information from a single cell only. In some instances, this technique has been used in conjunction with CCD camera-based imaging, offering the opportunity to simultaneously monitor membrane potential and calcium changes, but not in the same cells and not with a reliable cellular or subcellular spatial resolution. Recently, a novel family of highly-sensitive membrane potential reporter dyes in combination with high temporal and spatial confocal calcium imaging allows for simultaneously detecting membrane potential and calcium changes in many cells at a time. Since the signals yielded from both types of reporter dyes are inherently noisy, we have developed complex methods of data denoising that permit for visualization and pixel-wise analysis of signals. Combining the experimental approach of high-resolution imaging with the advanced analysis of noisy data enables novel physiological insights and reassessment of current concepts in unprecedented detail.
Dynamic Sustainability. Sustainability Window Analysis of Chinese Poverty-Environment Nexus Development
Authors: Luukkanen Jyrki , Kaivo-oja Jari , Vehmas Jarmo , Panula-Ontto Juha , Häyhä Laura
Published: October 2015

Sustainability Window is a new analysis tool for assessing the sustainability of development simultaneously in all of its three dimensions (environmental, economic, and social). The analysis method provides information of the maximum and minimum economic development that is required to maintain the direction of social and environmental development towards more sustainable targets. With the Sustainability Window method it is possible to easily analyze the sustainability using different indicators and different time periods making comparative analyses easy. The new method makes it also possible to analyze the dynamics of the sustainability and the changes over time in the width of the window. This provides a new perspective for analyzing the trends of sustainability and the impacts of underlying sustainability policies. As an illustration of the method, we have carried out an analysis of Chinese development using CO2 and SO2 emissions as indicators of the environmental dimension, number of non-poor people as an indicator of the social dimension and GDP as an indicator of the economic dimension.
Stakeholder roles for fostering ambidexterity in Sub-Saharan African agricultural netchains for the emergence of multi-stakeholder cooperatives
Authors: Pérez Perdomo S.A. , Farrow A. , Trienekens J.H. , Omta S.W.F.
Published: October 2015

The Sub-Saharan African smallholder agricultural sector faces multiple and usually complex challenges, which can potentially be overcome by collective action. Smallholder farmers and other value chain stakeholders can tackle temporal, structural and contextual challenges by joining multi-level innovation networks to benefit collectively from shared information, knowledge, improved capacities and economies of scale in a process of innovation. Ambidexterity is a capability of innovation networks to balance exploration and exploitation dynamics in an innovation process, and is applicable at multiple levels: individuals, leaders, champions, teams and clusters. In the paradigm of open innovation, these levels become intertwined in hybrid social structures of innovation netchains. The objective of this paper is to describe the roles and identify the stakeholders that play those roles in an innovation process. We present case studies on farmer groups who participate in collective action and we compare multi-stakeholder platforms with other configurations of actors that tackle challenges in potato netchains in three Sub-Saharan African countries. We track and analyse innovation trajectories for six cases adapting netchain analysis techniques linking roles with the challenges faced at particular stages of each innovation trajectory. We find three management designs for fostering exploration and exploitation: (1) exploratory or exploitative management designs for small innovation networks; (2) exploitative management designs for larger networks; and (3) ambidextrous management designs for multi-stakeholder networks. Traditional roles played by managers are identified to manage exploration and exploitation in an ambidextrous way, but also evidence of roles of civil society actors facilitating collective action for the emergence of multi-stakeholder cooperatives. Since ambidexterity is about dynamism, we identified three types of mobility to be fostered when tackling challenges in an innovation process: (1) mobility-dynamism of the innovation process over time; (2) structural-knowledge mobility in innovation networks; and (3) boundary mobility.
Manifestation of proton structure in ridge-like correlations in high-energy proton–proton collisions
Authors: Kubiczek Patryk , Głazek Stanisław D.
Published: October 2015

Ridge-like correlations in high-energy proton–proton collisions reported by the CMS collaboration suggest a collective flow that resembles the one in heavy-ion collisions. If the hydrodynamic description is valid, then the effect results from the initial anisotropy of the colliding matter which depends on the structure of protons. Following recent theoretical developments, we propose several phenomenological models of the proton structure and calculate the anisotropy coefficients using the Monte Carlo Glauber model. Our estimates suggest that the event multiplicity dependence allows one to discriminate between different proton models.
Femtosecond direct laser writing of photonic spatial filters in soda–lime glass
Authors: Gailevičius Darius , Purlys Vytautas , Maigytė Lina , Gaižauskas Eugenijus , Peckus Martynas , Gadonas Roaldas , Staliūnas Kęstutis
Published: October 2015

An experimental study of the efficiency of recently predicted photonic crystal (PhC) based spatial filtering is provided. Photonic structures are fabricated using a direct laser writing technique employing point-by-point modification by tightly focused femtosecond pulses in soda–lime glass. Such PhCs are characterized by using an s-coefficient – a parameter defining PhC filter efficiency. We explore the dependences of filtering efficiency on different laser writing conditions, such as irradiation peak intensity and the polarization of laser beam. In addition, we show that the PhCs can also exhibit even asymmetric shapes of voxels under particular conditions.
Fuzzy Multi-Criteria Decision Making Methods for E-Commerce Issues
Authors: Naili Mohamed , Boubetra Abdelhak , Tari Abdelkamel
Published: October 2015

Nowadays, internet technologies make of people's life easier by providing a huge number of websites and web-based support systems to help users in their daily surfing and transactions through online services such as buying, selling, booking…. This luxury of having multiple options and offers has generated the need for more sophisticated systems to deal with multiple criteria decision making problems especially in case of fuzzy evaluation. In this chapter, the authors give an overview of the E-commerce field where they focus on one of its crucial recent problems, it is the ranking problem. After discussing some issues of this field, some of well known mathematical and bio-inspired methods, which have been developed to solve the problems related to fuzzy multi-criteria decision making will be presented and explained. In order to show some recent applications of the discussed methods, the authors present some case studies already published in the literature.
Fuzzy Structural Models and Based Applications in Digital Marketplace
Authors: Kumar Anil , Dash Manoj Kumar
Published: October 2015

One of the well-known topics of decision making is Multi-Criteria Decision Making (MCDM). Fuzzy set theory helps to provide a useful way to address a MCDM problem. Without models, MCDM methods cannot be practiced effectively, therefore, it is interesting to clarify the structure among criteria. But the shortcoming of MCDM is unable to capture imprecision or vagueness inherent in the information. Fuzzy set theory has great potential to handle such situations and fuzzy structural models have been developed. In this chapter widely used structural models i.e. Interpretive Structural Modeling (ISM), Decision Making Trial and Evaluation Laboratory (DEMATEL), and Cognition Maps (CMs) are first summarized briefly along with their mathematical formulation and then diffusion these models into fuzzy set theory is explained along with a literature review of the based applications of these models in the digital marketplace.
Selection of Digital Marketing Tools Using Fuzzy AHP-Fuzzy TOPSIS
Authors: Şengül Ümran , Eren Miraç
Published: October 2015

Technological developments resulted in creative, faster, target-oriented and knowledge-based marketing strategies more prone to interactions. Digital marketing is an example of marketing types arisen by technological developments. Digital marketing tools are rapidly growing since they can be performed through internet; they are faster and thus have an ascending trend. The amount of investment to be made to each digital marketing tool has become a significant decision making problems for the businesses. In this chapter, Fuzzy AHP and Fuzzy TOPSIS techniques were employed for the selection of digital marketing tools. Multi-criteria analysis revealed the Remarketing advertising as the most suitable digital marketing tool. Additionally, the social media advertising, advertising-per-impression, advertising-per-click, affiliate advertising, banner marketing and email-advertising were respectively found to be as the other significant marketing tools.
EKF with Measurement Noise Estimation Based on Wavelet Transform and Application for Target Tracking
Authors: Liu Fang , Li Keyu , Liang Wei Ge , Tian Fu Qing
Published: October 2015

The measurement noise variance in the process of EKF is prone to bring error accumulation and can lead to filter divergence. Aiming at this kind of shortcoming, in this paper we build model of target motion observed on a single measurement point in a two-dimensional plane firstly. Secondly, we compare two methods, the variance estimation based on the signal-to-noise separation of wavelet transform and EKF algorithm based on noise variance estimation, applying in target tracking. Then, we adopt the wavelet transform to distinguish noise from the measurement signal real-timely. And the median variance estimator is used to estimate the measurement noise, which can improve the precision in EKF of target tracking by combining with EKF. Finally, the method of Monte Carlo simulation is used to prove its effectiveness and practicality.
A New No Op Amp Full CMOS Voltage Reference Circuit
Authors: Shi Jian Ying , Li Hui Ya , Xu Yan Bin
Published: October 2015

A no op amp structure full CMOS reference voltage circuit is designed. The two currents which are proportional to absolute temperature (PTAT) and complementary to absolute temperature (CTAT) are added together to get the reference output voltage which is obtained through a resistance. The characteristics of the new circuit are simulated using 0.5 μm BSIM3V3 spice models in HSPICE. The simulation results show that the output voltage of the circuit is 997mV, the power consumption is 1.12mW, the temperature coefficient is 15.2 ppm/°C in the range from-30°C to 100°C at the supply voltage of 2V.
Application of the Infrared Self-Learned Remote Controller in Smart Home
Authors: Teng Sheng Qiang , Shi Jian Fang
Published: October 2015

Based on the currently most wide-used ARM and ZIGBEE-based intelligent application control system, a infrared self-learned remote controller was designed. This paper introduces the software structure and hardware structure of Infrared self-learned remote controller design scheme and extraordinarily expands the main interface design of Infrared self-learned remote controller and the long-distance control approach based on WEBKIT technology. According to the test result, the Infrared self-learned remote controller designed in this paper is capable to achieve both network remote and centralized control of applications equipped with remote controllers.
The Test System of PXI-Based Aeronautic Equipment
Authors: Tang Ji Xiang , Zhu Zhi Gang
Published: October 2015

By analyzing the interface characteristics and test requirements of certain aeronautic equipment, using PXI instrument as test platform, integrated using SPIB instrument, virtual instrument, simulation technologies, independent developed video output collection equipment, SRU testing equipment modules and other hardware device, developed integrated automatic test equipment which based on PXI and GPIB bus instrument technology, provide airborne work environment for weapons, instrument, electrical, communication, navigation, identification, reactance systems airborne LRU, automatic complete the control, incentive, performance and function test of LRU.
Multi-Temperature Parameter Display System Design
Authors: Zhu Ya Jun
Published: October 2015

National competition after seven years now, both in hardware and software design adjustments have been more mature, less flexibility in terms of hardware relatively fixed , the software side is much room each have their own characteristics , but generally the algorithms such as PID algorithm curvature solving , fuzzy control and filtering algorithm has applications in multiple sessions . The main task at this stage is to make full use of existing hardware resources, and constantly improve the program control algorithm to achieve the shortest possible time the car smooth finish the course.Sensor technology is equal to an industry, it is bound to promote the development of other industries, to some extent, represents a country 's level of automation intelligence . Many smart car camera information as input sensor has many other sensors do not have the advantages, such as the object feature extraction , broad vision , etc., so camera-based intelligent car systems research will promote the development of smart cars .
Design and Realization of Monitoring System for Offshore Platform Transformation and Distribution Equipment Based on OPC Technology
Authors: Zhao Wen An , Liu Xiao Hui , Lü Jing Sheng , Wang Chang
Published: October 2015

Monitoring system for transformation and distribution equipments plays an important role in offshore platform safety production. This paper introduces the OPC technology and discusses the requirements and architecture of this monitoring system. For the convenience of monitoring data exchange, OPC technology is applied in the design and realization of the monitoring system. An OPC server is created for the monitoring data publication, and the monitoring system can get cable load current data from the OPC server in the central control system. In this way,the monitoring system can exchange monitoring data with the central control system more efficiently.
A Multi-Stage Method for Deterministic-Statistical Analysis: A Weibo Case and Measurement Studies
Authors: Hsu M.H. , Su K.W. , Chang C.J. , Chen C.Y. , Chen C.W. , Chung P.Y.
Published: October 2015

After many Internet-scale worm incidents in recent years, it is clear that a simple self-propagating worm can quickly spread across the Internet and cause severe damage to our society. Facing this great security threat, we need to build an early detection system. With coming of information society, the most important thing for all countries around the world is to terminate digital divide. Many searches to realize the condition of digital divide utilize diverse methods answering to standards of modern science. It also assess benefit in need of the falling head scheme resolved by government organizations. According to this paper, it presents divergence in gender by using weibo. In a conclusion, Male takes weibo as a tool to pass time. Female is caring for weibo about entertainments and social events. Male is caring for weibo about politics, sports and economy. There are only few obvious divergences in using webio by gender.
Network Agent Based on VISA Framework for Instruments
Authors: Zhao Meng Yi , Li You Mou , Guo Meng
Published: October 2015

With the rapid development of computer networks,more and more measurements need to relay on the network.But there are only a small amount of instruments with network interface.To access the network,we design a network agent for the instruments with different interfaces. We connect the host with the instrument through the network agent.The agent communicates with the host by using HiSLIP(High-Speed LAN Instrument Protocol ).The client soft front panel controls the instrument based on the VISA(Virtual Instrument Software Architecture) and HiSLIP.We use the Labwindow/CVI to design the soft panel.We can use the soft front panel to manipulate the instrument by the agent quickly and easily.
Construction and Application of Remote Sensing Based Evapotranspiration System in Hai Basin
Authors: Wang Zhi Liang , Meng Xian Zhi , Hu Yan , Yan Na Na , Yao Yu Mei
Published: October 2015

To strengthen the comprehensive management of water resources and water environment in the Hai Basin, and improve the quality of water environment in Bohai Sea. On the basis of international advanced Evapotranspiration (ET) technology monitored by remote sensing, the GEF Haihe project put forward water management concept of water consumption and applying it in the river basin and key demonstration counties, This paper mainly presented the ET system design supported by remote sensing and GIS technology, and its application on the basin. The system construction includes the ET center construction, ET system development, ET data production, ET application tools development, training and promotion. Currently, it has been applied on the basin water balance analysis, groundwater management, and water management in some provinces and counties. The results indicated that the system was an effective and feasible case, and it can be extended to the similar water scarcity basins.
The Control Algorithm Research of Yarn Tension for Winding Machine Based on Grey Prediction Model
Authors: Wang Can Cai , Zhao Hai Xia
Published: October 2015

For building high precision yarn tension control model, grey prediction method was first employed in this paper. The commonly used GM(1,1) model was modified by means of changing the coefficient a and b. Then the next tension value was forecasted from the previous test values by the modified GM(1,1) model. Then the forecasted values and the referred value were import into the self-adaption PID model. And the PID model output the control sign to magnetic particle clutch. The simulation of the control algorithm was completed in MATLAB 7.0. The simulation result showed that the proposed control algorithm had better precision than general PID and general grey prediction control algorithm.
An Artificial Bee Colony Algorithm for Multiobjective Redundancy Allocation Problem in Repairable System
Authors: He Qi Fang , Wang Zu Tong , Zheng Ming Fa , Yan Long
Published: October 2015

This paper proposed a multiobjective artificial bee colony algorithm (MOABC) to solve the reliability redundancy allocation problem (RAP) with multiple objectives, which introduces rank value and crowding distance in the greedy selection strategy, applies fast non-dominated sort procedure in the exploitation search and inserts tournament selection in the onlooker bee phase. The number of redundancy components is to be decided so as to maximize the availability and minimize the designing cost of the system simultaneously. It shows that the proposed algorithm can solve multiobjective redundancy allocation problem efficiently.
Optimal Study of the Reverse Logistics Network for Municipal Solid Wastes
Authors: Zhang Zheng , Ma Hui Min
Published: October 2015

A reverse logistics network for municipal solid wastes is designed. A fuzzy chance constrained programming model that the uncertain recovery quantity described by fuzzy parameter is put forward. The model is solved by transforming it to a deterministic mix integer linear programming model after making the fuzzy constraints clear. A numerical example is provided to demonstrate the feasibility of the model. And this paper analyzes the influence of different confidence level to the model.
BIM Technology in the Application and Development of China's Construction Industry
Authors: Shi Ya Kun
Published: October 2015

BIM technology used more widely in construction industry in developed countries in Europe and the United States, the integration of building information modeling (BIM) in the domestic large-scale propulsion was still difficult, and further the trend of widening the gap with foreign advanced level. In order to identify problems and solve the current status quo, and cut into the integrated information from project management point of view of China's architectural design, and analysis the status quo of BIM technology in our project management and developmental disabilities, and BIM-based technology and related parties mutual relations, to explain the development prospects of its application in China.
The Matching and Evolutionary Path Model of IT and Business Alignment Based on Dynamic Capabilities
Authors: Su Chao , Zhang Li Tao , Liu Peng Fei
Published: October 2015

The good match of IT and business is an important prerequisite to ensure business strategy and the value of enterprise information investments. With the intensive application of IT and the rapidly changing of environment, the match of IT and business should be more concerned about its dynamic characteristics and evolution law. Based on the research analysis of IT and business matching, the strategic alignment model (SAM model) and the business-IT strategic alignment maturity model (LAM model), the paper introduces the dynamic capabilities to build an IT and business matching and evolutionary path model under the action of dynamic capabilities. In the model, nine paths and four steps are proposed to describe the matching and evolution of IT and business. The roles of dynamic capabilities are explained in describing the matching and evolution paths, such as perception, capital-and technology path dependence, learning, dynamic feedback, resource restructuring and reconfiguration, team, coordination and innovation etc. It has a strong reference to the deep research of IT and business alignment, matching and evolutionary path and the enterprise information technology applications.
The IT Capabilities Driven Model and Evolutionary Model: Based on the Integration View of Competitive Strategy, Resource-Based View and Dynamic Capabilities
Authors: Hu Meng Meng , Zhang Li Tao , Su Chao
Published: October 2015

The IT capabilities driven model and the IT capabilities evolutionary model which based on the integration of competitive strategy, resource based view and dynamic capabilities view are built. This driven model studies the improvement and affects of IT capabilities for performance and core competencies. The driven model explains the process of IT capabilities which includes the classifications of IT capabilities, the external environment chances and threat, induction and feedback, integration and reconstruction of resources, the strategy fit and integration. The IT capabilities evolutionary model is abstracted from the process of driven model, and it explains the IT capabilities evolve into new IT capabilities after a cyclic process of old IT capabilities effects. The two models also build a structure of IT capabilities which can be used in assessing the enterprise IT capability system.
The Resource Configuration Effect’s Simulation Calculations of the VAT Pilot Reform Based on the CGE Model
Authors: Wang Zai Tang , Wang Na
Published: October 2015

This paper simulates the changes of the industries output after the business tax changing to the value added tax by using a general equilibrium model. The result show that, without burdening the tax of the tertiary industry, the VAT pilot reform can enhance the development of the primary , secondary and tertiary industry. It promotes the development of the primary and secondary industry obviously, but no significant influence for the primary industry.
A Dynamic Scheduling Algorithm Based Cost Compensation for Service-Workflows
Authors: Zhang Xiao Dong , Zhang Jin Cheng
Published: October 2015

Scheduling the workflow in a dynamic environment is an important issues for actual application because of service resources changed dynamically . In this paper, a cost-compensation-based dynamic scheduling algorithm (CCDSA) is constructed for the dynamic service-workflows. Related rules are defined, local re-scheduling workflow is performed by judging the influence range of abnormal nodes. Comparing CCDSA with HPSO, experimental results show that CCDSA obtains satisfied solutions, and has good adaptability and stability.
Crowd Evacuation Simulation Based on WebGIS
Authors: Xu Wen Jun , Song Zhu Dong , Huang Yi Da , Xu Zheng Li , Li Yi Yuan , Li Xin Ying , Chen Xian Jun , Zhan Yong Song
Published: October 2015

In order to improve the efficiency of people evacuation from hazardous regions and reduce the ill effects of disasters, a distributed decision support system for large scale crowd evacuation is proposed. The system is supported by the technology of Web Geographic Information System (WebGIS). Basically, by analyzing the system framework we may acquire a novel approach to establish a distributed large-scale crowd evacuation platform for emergency management. Research results show that the proposed system is useful for devising evacuation plans in advance as well as real-time management under disaster.
Demand Prediction of the Rarely Used Spare Parts Based on the BP Neural Network
Authors: Mao Hong Long , Gao Jun Wei , Chen Xi Juan , Gao Jin Dong
Published: October 2015

For the rarely used spare parts, as the traditional predicting methods can't keep the high accurateness, the BP neural network is used to predict the rarely used spare parts demand. Firstly, the rarely used spare parts definition and its characteristics are given in this paper. Then the three layer BP neural network model is established, the back propagation algorithm is used as the learning algorithm. Finally, the rarely used spare parts-bus coupler consumption data is used for simulation analysis based on Guangzhou Subway line 3. The results show that the prediction is good.
EcoSmart: A Survey and Sector Analysis of Mobile Phone Application Market for Fuel Consumption Reduction
Authors: Astarita Vittorio , Festa Demetrio C. , Mongelli Domenico W. E. , Mongelli Nunzio , Ruffolo Oreste , Servino Angelo
Published: October 2015

The spread of Smartphones and Tablets has led to the birth and the development of a new business: mobile applications on smartphones. Mobile telephonys continuous growth implies a large number of users that can access all applications of online stores. Mobile business is evolving continuously and offers applications that grant many different innovative services and at the same time mobile business offers many opportunities of development for companies and corporations because participating this new sector is becoming more and more required to improve performances and competitiveness. The purpose of this paper is a quantitative analysis of the smartphone application market through a survey of users desires and an analysis of different mobile application features and business models. The results of the survey provide a full representation of the mobile market potential, with a focus on the applications that work on fuel consumption reduction and road safety. In this framework an evaluation of the presented application EcoSmart is carried out. The application estimates users fuel consumption and returns conclusions about his driving style (with focus on fuel consumption). The user can also review offline his paths and the geo-localised driving style data thanks to the Smartphones GPS. The EcoSmart application replaces the OBD device and the consumption data, that can be obtained from the car engine, approximating fuel consumption just based on the dynamic of vehicle motion that is evaluated on GPS data. This procedure is simple and innovative. This study provides a demand survey for this kind of services and a sector analysis. The survey has been carried out using traditional market research methods, with a qualitative approach that is used to understand users habits of purchase and users desires. The second one was realised investigating the applications which are similar to EcoSmart on the Apples Appstore and the Google Play Store, analysing their features and how they can be distributed to the users.
Application of Information Management System for Insurance Agents Based on Service Oriented Architecture
Authors: Cheng Xiao Lei , Zhang Dan Feng
Published: October 2015

Service oriented architecture (SOA) has many benefits that it can provide a corporation. Information management system for insurance agents provides powerful tools that improve productivity, streamline workflow, and a complete business view. SOA principles possess five representative characteristics, i.e. standardized service contracts, discoverability and composability, abstraction and reusability, loose coupling, autonomy and statelessness. The paper put forward an integrated framework based on Web service. The analysis and design were represented for insurance agency information management system based on SOA framework. The application of information management system for insurance agents based on SOA made integration of insurance agent management information system more efficient to adapt to the information management development of the insurance industry.