Search

  • Select Article Type
  • Abstract Supplements
  • Blood Group Review
  • Call to Arms
  • Communications
  • Hypothesis
  • In Memoriam
  • Interview
  • Introduction
  • Letter to the Editor
  • Short Report
  • abstract
  • Abstracts
  • Article
  • book-review
  • case-report
  • case-study
  • Clinical Practice
  • Commentary
  • Conference Presentation
  • conference-report
  • congress-report
  • Correction
  • critical-appraisal
  • Editorial
  • Editorial Comment
  • Erratum
  • Events
  • in-memomoriam
  • Letter
  • Letter to Editor
  • mini-review
  • minireview
  • News
  • non-scientific
  • Obituary
  • original-paper
  • original-report
  • Original Research
  • Pictorial Review
  • Position Paper
  • Practice Report
  • Preface
  • Preliminary report
  • Product Review
  • rapid-communication
  • Report
  • research-article
  • Research Communicate
  • research-paper
  • Research Report
  • Review
  • review -article
  • review-article
  • review-paper
  • Review Paper
  • Sampling Methods
  • Scientific Commentary
  • serologic-method-review
  • short-communication
  • short-report
  • Student Essay
  • Varia
  • Welome
  • Select Journal
  • In Jour Smart Sensing And Intelligent Systems
  • Journal Of Social Structure
  • Polish Journal Of Microbiology
  • Journal Of Nematology
  • International Journal Advanced Network Monitoring Controls
  • Architecture Civil Engineering Environment
  • Immunohematology
  • Acta Neurobiologiae Experimentalis
  • Statistics In Transition

 

research-article | 30-November-2019

Performance enhancement of in-network probabilistic aggregation (PEPA) for vehicular ad-hoc networks

message storm in VANETs (Bali et al., 2014; Dietzel et al., 2014; Kumar et al., 2019). There exist many routing protocols in mobile ad-hoc networks, but they are not directly applicable to VANETs (Sharma and Kumar, 2016). Figure 1: Basic clustering communication model in VANET. Researchers contributed to the area of structured aggregation (Bilal et al., 2014; Wischhof et al., 2003) but it does not find its scope in real-life situations. Smart data aggregation method aggregates on the basis of

Rajeev Kumar, Dilip Kumar, Dinesh Kumar

International Journal on Smart Sensing and Intelligent Systems, Volume 13 , ISSUE 1, 1–9

Article | 01-December-2015

OPTIMAL CLUSTER HEAD NUMBER BASED ON ENTROY FOR DATA AGGREGATION IN WIRELESS SENSOR NETWORKS

In-network data aggregation plays an important role on energy consumption from the point of reducing the amount of communication in cluster-based wireless sensor networks. The selection of cluster heads is usually based on two criteria which are the number of cluster heads network needed and the times of every node serving as the cluster head. Too much or too little cluster head number will shorten the network lifetime for the energy premature depletion of some sensor nodes, so it has a great

Mingxin Yang

International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 4, 1935–1955

Article | 01-June-2016

TRUST AWARE DATA AGGREGATION AND INTRUSION DETECTION SYSTEM FOR WIRELESS SENSOR NETWORKS

Data Aggregation (DA) is one of the most frequently used techniques in Wireless Sensor Networks (WSNs) to improve the network lifetime. It involves gathering, consolidating, and routing the sensory data collected by sensor nodes. However, research studies have demonstrated that the dependability of the DA process affects severely when malicious nodes are present in the network. Many security solutions using cryptography and Intrusion Detection System (IDS) have been proposed in the literature

P. Raghu Vamsi, Krishna Kant

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 2, 537–562

Article | 01-April-2018

Gathering Correlated Data in Wireless Sensor Networks Using a Heuristic Algorithm

We propose a routing scheme for data gathering and aggregation in wireless sensor networks. The scheme aims to optimise an aggregation tree in order to minimise the energy dissipation of data aggregation and transmission. A modified particle swarm optimisation algorithm is developed in the proposed scheme. In addition, the routing scheme uses a generic data aggregation model which accommodates different correlation conditions. The performance of the proposed scheme is evaluated and compared

Yuexian Wang, Cheng Chew Lim

International Journal of Advanced Network, Monitoring and Controls, Volume 1 , ISSUE 1, –

research-article | 08-October-2021

A PROPOSAL TO FACILITATE MANDATORY BRIDGE LOAD TESTS WITH ARTIFICIAL NEURAL NETWORK ANALYSES USING A DIGITAL DATA AGGREGATION PLATFORM

Piotr OWERKO, Jerzy KAŁUŻA, Marek WAZOWSKI

Architecture, Civil Engineering, Environment, Volume 14 , ISSUE 3, 69–78

research-article | 30-November-2018

The interplay between parkin and alpha-synuclein; possible implications for the pathogenesis of Parkinson’s disease

-function mechanism, i.e., the acquisition of neurotoxic properties by α-syn. Misfolded α-syn oligomerizes and then forms fibrils, and is sometimes suggested to have prion-like properties (the capability of initiating aggregation of further, ‘native’ α-syn molecules). Cell-to-cell transfer of α-syn, whether leading to spread of misfolding or simply to α-syn presence in recipient cells, is a novel mode of pathology propagation, previously underestimated but potentially crucial, leading to the

Henryk Jęśko, Anna M. Lenkiewicz, Anna Wilkaniec, Agata Adamczyk

Acta Neurobiologiae Experimentalis, Volume 79 , ISSUE 3, 277–290

Article | 09-April-2018

Research of Petroleum Well Fuel Pump Measurement & Control System Based on Internet of Things Technology

feature of all layers are analyzed. As a focus, the hardware components and the control theory of the sensor instrument node and the aggregation instrument node, which are existed in the measurement & control system, are given and discussed also. In the end, programming flow chart of the node microcontroller and main design software module content of the IOT center computer are depicted and proposed. The enterprise experiment result shows that the system has the advantages of easy operation and

Shengquan Yang, Ceng Gong

International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 4, 127–132

Research Article | 14-August-2019

An Analysis of the 'Failed States Index' by Partial Order Methodology

Often objects are to be ranked. However, there is no measurable quantity available to express the ranking aim and to quantify it. The consequence is that indicators are selected, serving as proxies for the ranking aim. Although this set of indicators is of great importance for its own right, the most commonly used practice to obtain a ranking is an aggregation method. Any aggregation, however suffers from the effect of compensation, because the aggregation technique is in the broadest sense an

Lars Carlsen, Rainer Brüggemann

Journal of Social Structure, Volume 14 , ISSUE 1, 1–31

Article | 16-October-2019

Rouleaux and saline replacement

Rouleaux is a phenomenon that commonly occurs in patients who have an increased number of circulating protein macromolecules. It is a benign, in vitro reaction that appears microscopically as red blood cells (RBCs) line up against each other; many liken the RBC aggregation to “stacked coins.” This unexpected reactivity may cause confusion in direct agglutination testing such as reverse blood typing and crossmatching. Saline replacement is the established method to resolve rouleaux

Kayla L. Waider

Immunohematology, Volume 34 , ISSUE 3, 91–92

Research Article | 01-September-2017

DATA MINING WITH BIG DATA REVOLUTION HYBRID

-driven model involves demand-driven aggregation of information sources, mining and analysis, user interest modeling, and security and privacy considerations. We analyze the challenging issues in the data-driven model and also in the Big Data revolution.

R. Elankavi, R. Kalaiprasath, R. Udayakumar

International Journal on Smart Sensing and Intelligent Systems, Volume 10 , ISSUE 5, 560–573

Research paper | 31-October-2017

ROBUST REGRESSION IN MONTHLY BUSINESS SURVEY

There are many sample surveys of populations that contain outliers (extreme values). This is especially true in business, agricultural, household and medicine surveys. Outliers can have a large distorting influence on classical statistical methods that are optimal under the assumption of normality or linearity. As a result, the presence of extreme observations may adversely affect estimation, especially when it is carried out at a low level of aggregation. To deal with this problem, several

Grażyna Dehnel

Statistics in Transition New Series, Volume 16 , ISSUE 1, 137–152

Research paper | 31-October-2017

USING SYMBOLIC DATA IN GRAVITY MODEL OF POPULATION MIGRATION TO REDUCE MODIFIABLE AREAL UNIT PROBLEM (MAUP)

individual data aggregation and deals with multivariate analysis of interval- valued, multi-valued and histogram data. The paper discusses the scale effect of MAUP which occurs in a gravity model of population migrations and shows how SDA can deal with this problem. Symbolic interval-valued data was used to determine the economic distance between regions which served as a separation function in the model. The proposed approach revealed that economic disparities in Poland are lower than official

Justyna Wilk

Statistics in Transition New Series, Volume 16 , ISSUE 2, 243–264

Research paper | 01-November-2017

EXPLOITING ORDINAL DATA FOR SUBJECTIVE WELL-BEING EVALUATION 

, using the theory of partially ordered sets. We first show that the proper evaluation space of well-being is the partially ordered set of achievement profiles and that its structure depends upon the importance assigned to well-being attributes. We then describe how evaluation can be performed extracting information out of the evaluation space, respecting the ordinal nature of data and producing synthetic indicators without attribute aggregation. An application to subjective well-being in Italy

Marco Fattore, Filomena Maggino, Alberto Arcagni

Statistics in Transition New Series, Volume 16 , ISSUE 3, 409–428

original-paper | 28-January-2020

Anti-Salmonella Potential of New Lactobacillus Strains with the Application in the Poultry Industry

. We investigated their survival in bile salts and low pH, antibiotic resistance, aggregation properties, and adherence to polystyrene and Caco-2 cells. The safety of the application of the strains was verified by the cytotoxicity test, and their effectivity was assessed by the competition assay and by the measurement of their antagonistic activity towards Salmonella strains. Experimental Materials and Methods Bacterial strains. Three strains of Lactobacillus sp.: L. rhamnosus LOCK 1131, L

JUSTYNA D. KOWALSKA, ADRIANA NOWAK, KATARZYNA ŚLIŻEWSKA, MAŁGORZATA STAŃCZYK, MAGDALENA ŁUKASIAK, JAROSŁAW DASTYCH

Polish Journal of Microbiology, Volume 69 , ISSUE 1, 5–18

Article | 02-November-2017

Scalability and Performance Issues in Deeply Embedded Sensor Systems

Prasanna Sridhar, Asad M. Madni

International Journal on Smart Sensing and Intelligent Systems, Volume 2 , ISSUE 1, 1–14

research-article | 30-November-2019

Machine-to-machine and cell-to-cell traffic handling using relay and carrier aggregation prioritize on LTE-A PRO network

divided into two types, massive MTC and critical MTC (Dahlman et al., 2016). The phenomenon of massive MTC, when compared to a standard mobile communication, is more on the volume of devices demanding access to resources simultaneously. This high volume of devices degrades mobile network performance. Recently, studies have been conducted on LTE-A Pro, utilizing the different enhancement features like multicarrier, multiple input multiple output (MIMO), and massive carrier aggregation to meet the

Vuyo Pana, Vipin Balyan, Ben Groenewald

International Journal on Smart Sensing and Intelligent Systems, Volume 13 , ISSUE 1, 1–9

Article | 22-January-2018

MAPPING POVERTY AT THE LEVEL OF SUBREGIONS IN POLAND USING INDIRECT ESTIMATION

estimation methods, which rely on information from outside the subpopulation of interest, which usually increases estimation precision. The main aim of this paper is to show results of estimation of the poverty indicator at a lower level of spatial aggregation than the one used so far, that is at the level of subregions in Poland (NUTS 3) using the small area estimation methodology (SAE), i.e. a model–based technique – the EBLUP estimator based on the Fay–Herriot model. By optimally

Marcin Szymkowiak, Andrzej Młodak, Łukasz Wawrowski

Statistics in Transition New Series, Volume 18 , ISSUE 4, 609–635

research-article | 30-November-2019

Detoxification-related gene expression accompanies anhydrobiosis in the foliar nematode (Aphelenchoides fragariae)

detoxification-related gene expression is prioritized under non-feeding, stressful conditions suggests detoxification, while costly, is vital to survival during and/or after release from anhydrobiosis. Heat shock proteins, chaperones, and the unfolded protein response Desiccation can cause protein misfolding, damage, and aggregation (Tapia et al., 2015). Indeed, such damaged proteins may be important substrates for the detoxication enzymes highlighted above, such as CYP, UGT, SDR, and NHR. Multiple genes

Zhen Fu, Paula Agudelo, Christina E. Wells

Journal of Nematology, Volume 52 , 1–12

Article | 16-March-2019

THE CHOICE OF NORMALIZATION METHOD AND RANKINGS OF THE SET OF OBJECTS BASED ON COMPOSITE INDICATOR VALUES

The choice of the normalization method is one of the steps for constructing a composite indicator for metric data (see, e.g. Nardo et al., 2008, pp. 19-21). Normalization methods lead to different rankings of the set of objects based on composite indicator values. In the article 18 normalization methods and 5 aggregation measures (composite indicators) were taken into account. In the first step the groups of normalization methods, leading to identical rankings of the set of objects, were

Marek Walesiak

Statistics in Transition New Series, Volume 19 , ISSUE 4, 693–710

Article | 15-March-2019

THE CHOICE OF NORMALIZATION METHOD AND RANKINGS OF THE SET OF OBJECTS BASED ON COMPOSITE INDICATOR VALUES

The choice of the normalization method is one of the steps for constructing a composite indicator for metric data (see, e.g. Nardo et al., 2008, pp. 19-21). Normalization methods lead to different rankings of the set of objects based on composite indicator values. In the article 18 normalization methods and 5 aggregation measures (composite indicators) were taken into account. In the first step the groups of normalization methods, leading to identical rankings of the set of objects, were

Marek Walesiak

Statistics in Transition New Series, Volume 19 , ISSUE 4, 693–710

original-paper | 05-December-2019

New Look on Antifungal Activity of Silver Nanoparticles (AgNPs)

. TEM was used to localize the AgNPs inside microbial cells and to visualize their aggregation in eukaryotic cells and particular accumulation in the cell wall of A. brasiliensis. Experimental Materials and Methods Nanoparticles. AgNPs have been synthesized by the TK Nano according to the procedure described by Koźlecki et al. (2011). The final concentration of nanoparticles was 107.2 ± 0.8 mg/l. Nanoparticles were characterized by dynamic light scattering (DLS) and TEM. The DLS measurements were

BARBARA ŻAROWSKA, TOMASZ KOŹLECKI, MICHAŁ PIEGZA, KATARZYNA JAROS-KOŹLECKA, MAŁGORZATA ROBAK

Polish Journal of Microbiology, Volume 68 , ISSUE 4, 515–525

Article | 01-June-2016

A COMPREHENSIVE REVIEW ON THE IMPACT OF COMPRESSED SENSING IN WIRELESS SENSOR NETWORKS

G. Edwin Prem Kumar, K. Baskaran, R. Elijah Blessing, M. Lydia

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 2, 818–844

No Record Found..
Page Actions