Showing papers by "Zhejiang Gongshang University published in 2013"
TL;DR: This work demonstrates the feasibility of nitrogen removal by using the synergy of anammox and denitrifying anaerobic methane oxidation (DAMO) microorganisms in a membrane biofilm reactor (MBfR) and hypothesizes that DAMO archaea converted nitrate to nitrite, with methane as the electron donor.
Abstract: This work demonstrates, for the first time, the feasibility of nitrogen removal by using the synergy of anammox and denitrifying anaerobic methane oxidation (DAMO) microorganisms in a membrane biofilm reactor (MBfR). The reactor was fed with synthetic wastewater containing nitrate and ammonium. Methane was delivered from the interior of hollow fibres in the MBfR to the biofilm that grew on the fiber's outer wall. After 24 months of operation, the system achieved a nitrate and an ammonium removal rate of about 190 mgN L(-1) d(-1) (or 86 mgN m(-2) d(-1), with m(2) referring to biofilm surface area) and 60 mgN L(-1) d(-1) (27 mgN m(-2) d(-1)), respectively. No nitrite accumulation was observed. Fluorescence in situ hybridization (FISH) analysis indicated that DAMO bacteria (20-30%), DAMO archaea (20-30%) and anammox bacteria (20-30%) jointly dominated the microbial community. Based on the known metabolism of these microorganisms, mass balance, and isotope studies, we hypothesize that DAMO archaea converted nitrate, both externally fed and produced by anammox, to nitrite, with methane as the electron donor. Anammox and DAMO bacteria jointly removed the nitrite produced, with ammonium and methane as the electron donor, respectively. The process could potentially be used for anaerobic nitrogen removal from wastewater streams containing ammonium and nitrate/nitrite.
214 citations
TL;DR: The antifouling property of the prepared membranes was found to be greatly enhanced by the addition of iGO, and it is attributed to the improved hydrophilicity, the more negative zeta potential and the improved smoothness of the membrane surface.
Abstract: In this paper, isocyanate-treated graphene oxide (iGO), which can be well dispersed in organic solvent, was prepared in a simple manner and showed excellent compatibility with polysulfone (PSF). iGO–PSF ultrafiltration membranes were prepared by the classical phase inversion method. The separation performance and the antifouling property of the prepared membranes were investigated in detail. The antifouling property of the prepared membranes was found to be greatly enhanced by the addition of iGO, and we attributed the enhanced antifouling property to the improved hydrophilicity, the more negative zeta potential and the improved smoothness of the membrane surface.
207 citations
TL;DR: The dynamic catenation process is reversible and can be switched off and on in a controllable manner by successive addition of KPF(6) and 18-crown-6, as monitored by (1)H and (31)P NMR spectroscopy.
Abstract: We describe the formation of a suite of [3]catenanes via multicomponent coordination-driven self-assembly and host–guest complexation of a rectangular scaffold comprising a 90° Pt-based acceptor building block with a pseudorotaxane bis(pyridinium)ethane/dibenzo-24-crown-8 linear dipyridyl ligand and three dicarboxylate donors. The doubly threaded [3]catenanes are formed from a total of 10 molecular components from four unique species. Furthermore, the dynamic catenation process is reversible and can be switched off and on in a controllable manner by successive addition of KPF6 and 18-crown-6, as monitored by 1H and 31P NMR spectroscopy.
161 citations
TL;DR: Agaricus bisporus was dipped for 2min in different concentrations (1, 2% and 3%) of alginate, then placed in jars and ventilated continuously with 100% O2 for up to 16 days at 4°C.
130 citations
TL;DR: This paper designs a cloud-assisted privacy preserving mobile health monitoring system to protect the privacy of the involved parties and their data and adapts the outsourcing decryption technique and a newly proposed key private proxy reencryption to shift the computational complexity to the cloud without compromising clients' privacy and service providers' intellectual property.
Abstract: Cloud-assisted mobile health (mHealth) monitoring, which applies the prevailing mobile communications and cloud computing technologies to provide feedback decision support, has been considered as a revolutionary approach to improving the quality of healthcare service while lowering the healthcare cost. Unfortunately, it also poses a serious risk on both clients' privacy and intellectual property of monitoring service providers, which could deter the wide adoption of mHealth technology. This paper is to address this important problem and design a cloud-assisted privacy preserving mobile health monitoring system to protect the privacy of the involved parties and their data. Moreover, the outsourcing decryption technique and a newly proposed key private proxy reencryption are adapted to shift the computational complexity of the involved parties to the cloud without compromising clients' privacy and service providers' intellectual property. Finally, our security and performance analysis demonstrates the effectiveness of our proposed design.
126 citations
TL;DR: It is argued that individuals adopt an innovation at different times and are likely to be influenced by different factors over time.
118 citations
TL;DR: A new kNN-based AD scheme based on hypergrid intuition is proposed for WSN applications to overcome the lazy-learning problem and is able to work successfully in any environment without human interventions.
Abstract: Online anomaly detection (AD) is an important technique for monitoring wireless sensor networks (WSNs), which protects WSNs from cyberattacks and random faults. As a scalable and parameter-free unsupervised AD technique, k-nearest neighbor (kNN) algorithm has attracted a lot of attention for its applications in computer networks and WSNs. However, the nature of lazy-learning makes the kNN-based AD schemes difficult to be used in an online manner, especially when communication cost is constrained. In this paper, a new kNN-based AD scheme based on hypergrid intuition is proposed for WSN applications to overcome the lazy-learning problem. Through redefining anomaly from a hypersphere detection region (DR) to a hypercube DR, the computational complexity is reduced significantly. At the same time, an attached coefficient is used to convert a hypergrid structure into a positive coordinate space in order to retain the redundancy for online update and tailor for bit operation. In addition, distributed computing is taken into account, and position of the hypercube is encoded by a few bits only using the bit operation. As a result, the new scheme is able to work successfully in any environment without human interventions. Finally, the experiments with a real WSN data set demonstrate that the proposed scheme is effective and robust.
112 citations
TL;DR: In this paper, the authors investigated the seasonal and interannual variability and long-term changes in phytoplankton blooms in the eastern China seas using a 14 yr (1998-2011) time series of satellite ocean colour data.
Abstract: The eastern China seas are some of the largest marginal seas in the world, where high primary productivity and phytoplankton blooms are often observed. However, little is known about their systematic variation of phytoplankton blooms on large spatial and long temporal scales due to the difficulty of monitoring bloom events by field measurement. In this study, we investigated the seasonal and interannual variability and long-term changes in phytoplankton blooms in the eastern China seas using a 14 yr (1998–2011) time series of satellite ocean colour data. To ensure a proper satellite dataset to figure out the bloom events, we validated and corrected the satellite-derived chlorophyll concentration (chl a ) using extensive in situ datasets from two large cruises. The correlation coefficients between the satellite retrieval data and the in situ chl a on the logarithmic scale were 0.85 and 0.72 for the SeaWiFS and Aqua/MODIS data, respectively. Although satellites generally overestimate the chl a , especially in highly turbid waters, both the in situ and satellite data show that the overestimation of satellite-derived chl a has an upper limit value (10 μg L −1 ), which can be used as a threshold for the identification of phytoplankton blooms to avoid the false blooms resulting from turbid waters. Taking 10 μg L −1 as the threshold, we present the spatial-temporal variability of phytoplankton blooms in the eastern China seas over the past 14 yr. Most blooms occur in the Changjiang Estuary and along the coasts of Zhejiang, with a maximal frequency of 20% (about 73 days per year). The coasts of the northern Yellow Sea and the Bohai Sea also have high-frequency blooms (up to 20%). The blooms show significant seasonal variation, with most occurring in spring (April–June) and summer (July–September). The study also revealed a doubling in bloom intensity in the Yellow Sea and Bohai Sea during the past 14 yr. The nutrient supply in the eastern China seas might be a major controlling factor in bloom variation. The time series in situ nutrient datasets show that both the nitrate and phosphate concentrations increased more than twofold between 1998 and 2005 in the Yellow Sea. This might be the reason for the doubling of the bloom intensity index in the Yellow Sea and Bohai Sea. In contrast, there has been no significant long-term increase or decrease in the Changjiang Estuary, which might be regulated by the Changjiang River discharge. These results offer a foundation for the study of the influence of phytoplankton blooms on the carbon flux estimation and biogeochemical processes in the eastern China seas.
110 citations
TL;DR: It was the larger specific surface area rather than better crystallinity dominated the synergistic degradation dynamics under visible light irradiation with lower pH (2), greater catalyst loading amount (2g/L), proper RhB/Cr(VI) ratios (1:8) and higher light intensity (500 W).
103 citations
TL;DR: The use of the composite by RSM provides a feasible way to improve the pollutant removal efficiencies and recycle high-level of ammonium from wastewater.
100 citations
TL;DR: The two-site kinetic attachment model provided a good description for the BTCs of TiO(2) NPAs both in saturated and unsaturated conditions, and the fitted parameters could successfully explain the transport behaviors of Ti O(2), under various solution chemistries.
TL;DR: In this paper, a zwitterionic poly(sulfobetaine methacrylate) (pSBMA) is grafted on the surface of an aromatic polyamide membrane to improve membrane fouling using surface-initiated atom transfer radical polymerization (SI-ATRP).
TL;DR: A cube model is designed to explicitly describe the relationship among providers, consumers and Web services, and a Standard Deviation based Hybrid Collaborative Filtering (SD-HCF) for Web Service Recommendation (WSRec) and an Inverse consumer Frequency based User Collaborativefiltering (IF-UCF), which indicates the effectiveness of adding inverse consumer frequency to UCF.
Abstract: Web service recommendation has become a hot yet fundamental research topic in service computing. The most popular technique is the Collaborative Filtering (CF) based on a user-item matrix. However, it cannot well capture the relationship between Web services and providers. To address this issue, we first design a cube model to explicitly describe the relationship among providers, consumers and Web services. And then, we present a Standard Deviation based Hybrid Collaborative Filtering (SD-HCF) for Web Service Recommendation (WSRec) and an Inverse consumer Frequency based User Collaborative Filtering (IF-UCF) for Potential Consumers Recommendation (PCRec). Finally, the decision-making process of bidirectional recommendation is provided for both providers and consumers. Sets of experiments are conducted on real-world data provided by Planet-Lab. In the experiment phase, we show how the parameters of SD-HCF impact on the prediction quality as well as demonstrate that the SD-HCF is much better than extant methods on recommendation quality, including the CF based on user, the CF based on item and general HCF. Experimental comparison between IF-UCF and UCF indicates the effectiveness of adding inverse consumer frequency to UCF.
TL;DR: The alginate/nano-Ag coating could be applied for preservation of the shiitake mushroom to expand its shelf life and improve its preservation quality.
TL;DR: In this paper, the authors showed that surface OH species were consumed during NO adsorption, indicating that O2 could promote the dehydration reaction of the manganese oxides to produce active oxygen, and greatly enhance the amount of NO complexes on the catalyst.
TL;DR: In this article, the authors reported toluene decomposition with a dielectric barrier discharge (DBD) and a catalyst bed reactor in air at atmospheric pressure at a DBD specific energy density of 60 J/L.
TL;DR: Simulation based analysis shows that DMLP offers a high level of location privacy and can be used regardless of the nature of the road at the location of the vehicle,e.g. highway, rural road or street in the downtown area of a city.
Abstract: Location privacy is an important issue in vehicular networks since knowledge of a vehicle's location can result in leakage of sensitive information. In this paper, we propose a method, named Dynamic Mix-zone for Location Privacy (DMLP). With DMLP, a vehicle' s mix-zone is dynamically formed at the time the vehicle requests it. The size of the mix-zone is determined by the vehicle's predicted location, the traffic statistics and the level of vehicle's privacy requirement. In order to provide unlinkability of new and old pseudonyms and locations, DMLP encrypts messages when transmitted while the vehicle is within the mix-zone. Simulation based analysis shows that DMLP offers a high level of location privacy and can be used regardless of the nature of the road at the location of the vehicle,e.g. highway, rural road or street in the downtown area of a city.
TL;DR: It is suggested that GANA has the potential to improve the quality of shiitake mushroom and extend its shelf-life up to 16d and the efficiency of GANA treatment alone was better than that of GA or NA treatment alone.
TL;DR: It is found that channel acceptance plays a critical role in influencing equilibrium prices and profits in the dual-channel distribution system and both the supplier and the retailer are worse off in the Nash game.
TL;DR: The effects of the ionic liquid 1-octyl-3-methylimidazolium chloride ([OMIM]Cl) was studied in hydroponically grown rice seedlings and cellular structures, such as chloroplasts, mitochondria and rough endoplasmic reticulum in rice root and leaf cells were affected at concentrations of 0.6 mg/L [OM IM]Cl.
TL;DR: This study showed that different sizes and doses of nano-Se have varied effects on the cellular protein contents and the enzyme activities of secreted lactate dehydrogenase, intracellular sodium potassium adenosine triphosphatase, glutathione peroxidase, and superoxide dismutase.
Abstract: Nano-selenium (Se), with its high bioavailability and low toxicity, has attracted wide attention for its potential application in the prevention of oxidative damage in animal tissues. However, the effect of nano-Se of different sizes on the intestinal epithelial cells of the crucian carp (Carassius auratus gibelio) is poorly understood. Our study showed that different sizes and doses of nano-Se have varied effects on the cellular protein contents and the enzyme activities of secreted lactate dehydrogenase, intracellular sodium potassium adenosine triphosphatase, glutathione peroxidase, and superoxide dismutase. It was also indicated that nano-Se had a size-dependent effect on the primary intestinal epithelial cells of the crucian carp. Thus, these findings may bring us a step closer to understanding the size effect and the bioavailability of nano-Se on the intestinal tract of the crucian carp.
TL;DR: In this article, a scenario-based study that investigates the interaction between sea-level rise and land subsidence on the storm tides induced fluvial flooding in the Huangpu river floodplain was presented.
Abstract: This paper presents a scenario-based study that investigates the interaction between sea-level rise and land subsidence on the storm tides induced fluvial flooding in the Huangpu river floodplain. Two projections of relative sea level rise (RSLR) were presented (2030 and 2050). Water level projections at the gauging stations for different return periods were generated using a simplified algebraic summation of the eustatic sea-level rise, land subsidence and storm tide level. Frequency analysis with relative sea level rise taken into account shows that land subsidence contributes to the majority of the RSLR (between 60 % and 70 %). Furthermore, a 1D/2D coupled flood inundation model (FloodMap) was used to predict the river flow and flood inundation, after calibration using the August 1997 flood event. Numerical simulation with projected RSLR suggests that, the combined impact of eustatic sea-level rise and land subsidence would be a significantly reduced flood return period for a given water level, thus effective degradation of the current flood defences. In the absence of adaptation measures, storm flooding will cause up to 40 % more inundation, particularly in the upstream of the river.
TL;DR: In this article, a chelating resin, polyacrylonitrile-2-aminothiazole (PAN-AT), was synthesized simply by the reaction of polyacanitrile with 2-amino acid.
Abstract: A novel chelating resin, polyacrylonitrile-2-aminothiazole (PAN-AT), was synthesized simply by the reaction of polyacrylonitrile with 2-aminothiazole. Optimization of the PAN-AT synthesis was carri...
TL;DR: In this article, an indicator system which included two aspects of hazard and vulnerability with 14 indicators was built up for composite risk assessment of typhoon-induced disaster in China's coastal area.
Abstract: Typhoons, as one of the most devastating natural hazards in China’s coastal area, have caused considerable personal injury and property damage throughout history. An indicator system which included two aspects of hazard and vulnerability with 14 indicators was built up for composite risk assessment of typhoon-induced disaster. The analytic hierarchy process was used to calculate the weight of each indicator, and the composite risk assessment model was then built up. The results indicated that there were no very high- or very low-risk areas in China’s coastal area. Out of the 18,000-km-long China land coastline, 30.99 % was at low risk, mostly along the coastal hill–mountain zone, Hainan and Guangxi coast; the major part (62.71 %) of the coastal area was classified as at moderate risk. Although only 6.30 % of the total was at high risk, the affected area was mainly distributed in Tianjin, Shanghai, and Guangzhou, the three main deltas with low topography, a highly developed economy, and a very dense population.
TL;DR: A consensus reaching process for group decision making with intuitionistic fuzzy preference information based on the developed distance measures and a practical application of he developed approach to the problem of evaluating university faculty for tenure and promotion is given.
Abstract: Xu and Chen (J Syst Sci Syst Eng 17:432–445, 2008) introduced a new decision-making technique called the ordered weighted distance (OWD) measure, having been proved useful for the treatment of situation where the available information is represented in exact numerical values. In this paper, we consider the situations with intuitionistic fuzzy and interval-valued intuitionistic information, and develop some intuitionistic fuzzy weighted distance measures such as intuitionistic fuzzy ordered weighted distance (IFOWD) measure, interval-valued intuitionistic fuzzy ordered weighted distance (IVIFOWD) measure, intuitionistic fuzzy hybrid weighted distance (IFHWD) measure and interval-valued intuitionistic fuzzy hybrid weighted distance (IVIFHWD) measure. These developed weighted distance measures are very suitable to deal with the situation where the input data are represented in intuitionistic fuzzy numbers or interval-lvalued intuitionistic fuzzy numbers. Then we present a consensus reaching process for group decision making with intuitionistic fuzzy preference information based on the developed distance measures. Finally, a practical application of he developed approach to the problem of evaluating university faculty for tenure and promotion is given.
TL;DR: A new level set method integrating local and global intensity information adaptively to segment inhomogeneous images to avoid the re-initialization of the level set function and shorten the computational time is proposed.
09 Jun 2013
TL;DR: The distributed joint spectrum sharing and power allocation scheme is proposed to improve the local services in the Device-to-Device (D2D) communication underlaying cellular networks (CNs) with limited signaling overhead and Stackelberg game is formulated to model the problem for deriving the distributed scheme.
Abstract: In the paper, the distributed joint spectrum sharing and power allocation scheme is proposed to improve the local services in the Device-to-Device (D2D) communication underlaying cellular networks (CNs) with limited signaling overhead. The scheme aims to optimize the throughput of D2D communications over the shared uplink frequency spectrum meanwhile the base station (BS) protects the cellular users (CUs) from the interference of D2D users. Stackelberg game (SG) is formulated to model the problem for deriving the distributed scheme. In the game, the BS, as a leader, coordinates the interference from the D2D users to the cellular uplinks and maximizes its own profit by pricing the interference. On the other hand, D2D pairs, as followers, compete for the spectrum as a Nash non-cooperative game to maximize their own data rates individually. The pricing mechanism at the BS converging to the Stackelberg Equilibrium is studied. Finally, numerical examples are presented to verify the proposed scheme. It is shown that the scheme is effective on the resource allocation and the CU protection with limited signaling overhead.
TL;DR: In this article, the density of aqueous solutions of amino acids and ionic liquid [EMIm]Br was determined at T = (298.15 and 308.15) K.
Abstract: Densities of aqueous solutions of glycine, l-alanine, l-arginine, and l-phenylalanine containing 1-ethyl-3-methylimidazolium bromide, [EMIm]Br, have been determined at T = (298.15 and 308.15) K. From the experimental density data, the apparent molar volumes (VΦ) and the standard partial molar volumes (VΦ0) at (298.15 and 308.15) K have been calculated. The values of standard partial molar volumes of transfer (ΔtrVΦ0) are also obtained and are negative for glycine, l-alanine, and l-phenylalanine while positive for l-arginine. The ΔtrVΦ0 values all increased with the increase of the temperature and also the [EMIm]Br content. The obtained volumetric parameters will be helpful to understand mixing effects and other complex biological processes between head and side chain groups of amino acids and ionic liquid [EMIm]Br in aqueous solution.
TL;DR: In this article, the authors empirically examined an evaluation index system for low carbon tourism attractions and extended previous research on low-carbon tourism, using the Xixi wetland as a case study.
TL;DR: This study was the first attempt to characterize DKPs as the signaling molecules in QS of S. baltica and may provide some evidence of the role of DKPs involved in microbial spoilage.
Abstract: Quorum-sensing (QS) signaling molecules are able to mediate specific gene expression inside spoilage bacteria in response to population density and thus are implicated in food spoilage. In the present work, a total of 102 strains of spoilage bacteria were isolated from Pseudosciaena crocea at 4 °C storage, and of these, 60 strains were identified as Shewanella spp., and 48 strains (47.1%) were identified as S. baltica. In addition, the spoilage capabilities of three different S. baltica strains (00A, 00B, and 00C) were compared by total volatile base nitrogen (TVB-N) and sensory analysis (off-odors). Furthermore, four cyclic dipeptides (diketopiperazines, DKPs) that function as QS signal molecules were isolated and characterized from the extracellular metabolites of S. baltica 00C which had the strongest spoilage activity based on gas chromatography mass spectrometry (GC-MS). By supplementation of four synthesized DKPs, the spoilage capability of S. baltica could be significantly enhanced. So far, this was the first attempt to characterize DKPs as the signaling molecules in QS of S. baltica. Our study may provide some evidence of the role of DKPs involved in microbial spoilage.