New Technique For Identification Research Articles

New Technique for Identification of Ichthyoplankton and Its Application in Biomonitoring Studies, Management and Conservation of Neotropical Fish.

Despite significant advancements in ichthyoplankton collection and data processing, challenges persist in the taxonomic identification of these organisms, particularly their eggs. To overcome these challenges, a novel technique has been developed to facilitate the identification of live eggs collected directly in wild. This user-friendly technique includes the collection, processing of the material, and field incubation. Sampling must be conducted using a pelagic net towed at low speed, preferably during early evening. The material processing involves pre-sorting and sorting to remove eggs and larvae. The separated eggs, kept in an aerated bowl, can be identified based on their morphological and meristic characteristics. Unidentified eggs can be placed in plastic bags with oxygen and incubated directly in the aquatic environment for 48-72 h. After this incubation period, the hatched larvae at the yolk-sac or preflexion stage, are identified to the lowest possible taxonomic level. Depending on the study's purpose, hatched larvae and field-collected larvae can be transported to research centers for further development, released back into the natural environment, or fixed to complete the collection. The application of this technique supports management and monitoring programs by identifying spawning areas through egg identification, forming broodstock, and replenishing threatened species, thereby enhancing scientific collections of ichthyoplankton. Additionally, it reduces mortality in ichthyoplankton techniques, including endangered species. Therefore, we believe that this novel taxonomic technique for identifying live ichthyoplankton represents a paradigm shift in the monitoring, management, and conservation of fish, as well as in ecological stewardship and advances in this area of research.

Математическая модель идентификации космических аппаратов

Proposed below is a mathematical model for reception and processing of spurious (“uncontrolled” radiation) from constantly operating units of the special complex installed onboard a spacecraft. This model makes it possible to implement a new technique for identification of such radiation thus improving the capabilities of the space monitoring. At the same time creation of stand-alone radio systems solely for identification of the spacecrafts based on the proposed mathematic model would require significant expenses therefore it is worthwhile to add new identification hardware to the existing ground-based radio systems used for space flight control. Identifying features in the proposed mathematical model are the parameters of signals of the uncontrolled radiation from constantly operating units installed onboard spacecrafts that “leak” through antenna systems (master generators, heterodyne oscillators in the spacecraft radio receivers). Identification of spacecrafts by uncontrolled radiation from the receiving master generators and heterodyne oscillators involves keeping track of the behavior of oscillation parameters as well as identifying signs that distinguish the oscillations of one generator from another. Since the uncontrolled radiation from heterodyne oscillators is a harmonic oscillation, it features such parameters as amplitude, frequency and initial phase. It is impossible to use the amplitude and initial phase of the signal for identification purposes because the propagation medium strongly affects these parameters. The most informative for identification purposes is the frequency of oscillations, or rather, the behavior of the frequency changes over time. These changes are due to the frequency instability of the onboard master generators. The behavior of the frequency change depends on the characteristics of each onboard generator, which serves as a basis for identification. It should be noted that the identification process can be conditionally divided into two stages: the first stage includes validation of models and processing (evaluation) algorithms while the second stage involves classification of the results of processing (evaluation).

A new technique for identification and evaluation of wear in copper electrodes in electrical discharge machining using acoustic emission signals

A new technique for identification and evaluation of wear in copper electrodes in electrical discharge machining using acoustic emission signals

A hierarchical approach for discrete-event model identification incorporating expert knowledge

Abstract Recently, a new technique for identification of Discrete-Event Systems (DES) with the aim of fault detection has been proposed in the literature, where a model is obtained from the observation of the fault-free system behavior. In some cases, the system may execute different tasks in a sequential order to perform the complete operation of the system. In these cases, the number of observed paths representing the complete system operation may grow exponentially with the number of tasks. In addition, by using black-box identification methods, it is possible that the sequential order that the tasks must be performed is not represented in the model, reducing the fault detection capability or delaying the fault detection. In this paper, a two-level hierarchical approach for DES identification is proposed. In the higher level of the model hierarchy, the system is described by using some basic knowledge of its functioning provided by an expert, and in the lower level of the hierarchy, the behavior is described by black-box identified models for the system tasks. The modeling framework proposed in this paper reduces the number of observed paths needed for system identification and increases the fault detection capability. A practical example is used to illustrate the results of the paper.

AB068. Image-guided embolization needles placement for identification of completely endophytic renal mass during laparoscopic partial nephrectomy

BackgroundTo evaluate a new technique for identification of completely endophytic renal mass during laparoscopic partial nephrectomy.MethodsOur study divided into two parts, animal experiment and clinical application. Ten kidneys of boars were used for the experiment, two needles were inserted into kidney to identify tumor guided by Ultrasonography. Between January 2016 and October 2017, eight patients with completely intraparenchymal (endophytic) renal masses were underwent laparoscopic partial nephrectomy by a single surgeon. Cases were grouped based on surgical approach. Operative time, warm ischaemia time, surgical margin status, intraoperative and postoperative complications were recorded.ResultsAll the patients were performed surgeries safely and successfully with no intraoperative complications. The operation time was 95 min (86–125 min) for group 1, and 97 min (88–117 min) for group 2. The warm ischaemia time was 33 min (28–37 min) vs. 24 min (21–30 min). All the surgical margins are negative, and without postoperative complications.ConclusionsThe new technique is safe and effective, and easy to operate. it could be promoted to application.

Abstract P1-07-30: Predictive factors of sentinel lymph node biopsy invasion in extended ductal carcinoma in situ treated by radical mastectomy

Abstract Introduction: The incidence of ductal carcinoma in situ (DCIS) increased with the practice of organized breast cancer screening to reach 14 % in France in 2010. The incidence of positive sentinel lymph node biopsy (SLNB) ranged from 0 to 16.7 %. The main hypothesis would be the presence of an invasive contingent on the definitive analyze not identified preoperatively. The objective was to identify predictive factors of SLNB positivity in the management of extended DCIS treated by radical mastectomy. Method: This study was retrospective, longitudinal, descriptive conducted at the Cancer Institute of Lorraine from January 2000 to July 2015. All patients whose management consisted of a radical mastectomy for an extended DCIS, associated with a sentinel lymph node procedure were included. Results: 161 patients were included. The mean age at diagnosis was 56 years; 15 had a clinical nodule. The diagnosis was made in 63.3 % with macrobiopsies. Preoperatively, 16 patients (9.9 %) had DCIS associated with microinvasion (DCIS-MI) and the others were pure DCIS. An average of 3.9 ± 2.7 SLNB were sampled. Twelve patients (7.4 %) had a SLNB invasion. Eleven of them had axillary lymph node dissection (ALND) of which only 1 was positive. The final histological analysis found 104 pure DCIS (64.6 %), 23 DCIS-MI (14.3 %) and 34 occult invasive ductal carcinomas (IDC) (21.1 %). Mean follow-up was 41.1 months. There were 2 recurrences and 2 deaths. N°Final histologyPreoperative histologyDCIS size (mm)PalpabilitySLNB typeSLNB positivityALND positivity1DCISDCIS60NoMacrometastase542DCISDCIS50NoMicrometastase203DCISDCIS10NoIsolated Tumor Cells1-4DCIS-MIDCIS90YesIsolated Tumor Cells105DCIS-MIDCIS-MI75YesIsolated Tumor Cells106IDCDCIS110YesMicrometastase107IDCDCIS70NoIsolated Tumor Cells108IDCDCIS80YesMicrometastase109IDCDCIS-MI100NoMicrometastase1010IDCDCIS-MI50NoMicrometastase1011IDCDCIS-MI60NoMicrometastase1012IDCDCIS-MI40YesMacrometastase10 Predictive factors were size of palpated mass (mean: 46 mm, p = 0.04) and microinvasion on biopsy (p = 0.02). Positivity of the SLNB was an overstaging risk factor on the final histology (p < 0.001). Postoperative histological results were significantly different from preoperative (p = 0.001) with poor concordance (kappa = 0.15). Discussion: After SLNB, the rate of secondary lymphedema in the literature was 5%. Our study included 7.4 % (12 cases) of axillary lesions, majority of which were unique micrometastases or isolated tumor cells (ITC). All predictive factors were identified in literature. In our study, mean size of palpated mass was 46 mm whereas it was 30 mm in literature. Of the 9.9 % of DCIS-MI, 4 patients had a positive SLNB. In cases of pure DCIS, the percentage of positive SLNB was reduced to 5.5 %. The rate of occult invasive ductal carcinoma was 21,1%, similarly like in literature where rate was in mean 23%. Conclusion: The low rate of SLNB invasion in pure DCIS suggests that ALND is carried out in the presence of predictive factors. New techniques for identification of SLNB could report axillary staging after obtaining the definitive histologic results. Citation Format: Hotton J, Salleron J, Rauch P, Buhler J, Leufflen L, Ameloot S, Marchal F. Predictive factors of sentinel lymph node biopsy invasion in extended ductal carcinoma in situ treated by radical mastectomy [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr P1-07-30.

Identification of two aromatic isomers between 2- and 3-hydroxy benzoic acid by using a Briggs-Rauscher oscillator

A new technique for identification of two aromatic isomers between 2-hydroxy benzoic acid (2-HBA) and 3-hydroxy benzoic acid (3-HBA) was finalized by using their perturbation effects on a Briggs-Rauscher (BR) oscillator, in which a tetraazamacrocyclic Ni complex, [NiL](ClO4)2 was used as catalyst. The ligand L in the complex is 5,7,7,12,14,14-hexamethyl-1,4,8,11-tetraazacyclotetradeca-4,11-diene. By putting two isomers into this BR oscillator, the 2-HBA caused a decrease in potential (amplitudes), an increase in the period of oscillation (∆T) and a decrease in number of the oscillation cycle (n) while no influences of 3-HBA on the BR oscillation were observed. Hence, these two aromatic isomers of hydroxy benzoic acid (HBA) were identified in the range from 1×10−5 to 2.2×10−4molL−1. Reaction mechanism of BR has been proposed with reference to the NF and FCA models. An explanation of perturbation mechanism for the BR is that, only 2-HBA reacted with IO2• to form 1,2-quinone while the 3-HBA didn't.

A new technique for identification of flow units of shaly sandstone reservoirs

The available techniques for identification of flow units of shaly sandstone reservoirs are based on different concepts, do not provide satisfactory results, and usually show discrepancy. This research is devoted to evaluating current techniques and developing a new concept capable to identify flow units constituting shaly sandstone reservoirs. A new mathematical model has been developed and validated to identify flow units in shaly sandstone reservoirs. The newly developed concept is called shale number (SN) and combines rock properties, fluid properties, petrophysical properties, and hydraulic flow conditions of shaly reservoir rocks. Fifteen actual, reserved, and fracture-free reservoir samples of shaly sandstone reservoir are used to develop SEM images and measure required rock properties of porosity, permeability, and oil/brine relative permeability. The developed data using SEM images and lab experiments are used to characterize the rocks, test feasibility of permeability-porosity crossplot and flow zone index (FZI) techniques, and validate the newly developed mathematical model. The results revealed that the SEM images are capable to identify the clay types as detrital clays and hairy illites plus clay distribution as filling micropores and coating grains of shaly sandstone formations. The results have proven that techniques of porosity–permeability crossplot and FZI have severe scattering degree of data and poor capability for identification of flow units of shaly sandstone reservoirs. The developed model of SN has been validated and showed superior accuracy in application. A plot of SN versus reservoir quality left( {sqrt {K/varphi } } right) provided unique straight lines passing through the origin and capable to delineate flow units of shaly sandstone reservoirs. The newly developed shale number overcomes several drawbacks of previous and current techniques used for identification of flow units. Therefore, the application of the new technique provides improved reservoir description of shaly sandstone reservoirs, which secures better development planning.

A solution to aggregation and an application to multidimensional ‘well-being’ frontiers

We propose a new technique for identification and estimation of aggregation functions in multidimensional evaluations and multiple indicator settings. These functions may represent “latent” objects. They occur in many different contexts, for instance in propensity scores, multivariate measures of well-being and the related analysis of inequality and poverty, and in equivalence scales. Technical advances allow nonparametric inference on the joint distribution of continuous and discrete indicators of well-being, such as income and health, conditional on joint values of other continuous and discrete attributes, such as education and geographical groupings. In a multi-attribute setting, “quantiles” are “frontiers” that define equivalent sets of covariate values. We identify these frontiers nonparametrically at first. Then we suggest “parametrically equivalent” characterizations of these frontiers that reveal likely weights for, and substitutions between different attributes for different groups, and at different quantiles. These estimated parametric functionals are “ideal” aggregators in a certain sense which we make clear. They correspond directly to measures of aggregate well-being popularized in the earliest multidimensional inequality measures in Maasoumi (1986). This new approach resolves a classic problem of assigning weights to multiple indicators such as dimensions of well-being, as well as empirically incorporating the key component in multidimensional analysis, the relationship between the indicators. It introduces a new way for robust estimation of “quantile frontiers”, allowing “complete” assessments, such as multidimensional poverty measurements. In our substantive application, we discover extensive heterogeneity in individual evaluation functions. This leads us to perform robust, weak uniform rankings as afforded by tests for multivariate stochastic dominance. A demonstration is provided based on the Indonesian data analyzed for multidimensional poverty in Maasoumi and Lugo (2008).

New thermal parameters identification approach applied to the thermal renovation of buildings

In this article, a new technique for identification of the thermal parameters of simplified mathematical model for an existing building is presented. This thermal simulation model allows the performance analysis of a building. The model is based on the electrical analogue with resistances and capacitors (RC) used for the simulation of the unsteady heat flow in the building. The model is validated with the results of a TRNSYS simulation. The obtained accuracy lies within a 7% interval. This tool is then used in an inverse method in order to determine the value of the electrical (RC) equivalent thermo physical characteristics of the building envelope. The model for the determination is based upon the least squares method, between the indoor measured temperatures and the model response, using an inverse iterative algorithm (Reflective Newton).

16s rDNA Based Identification of Bacteria in the Organophosphates Treated Agricultural Soil

This work was undertaken with the aim to isolate and identify the bacteria from agricultural soil, untreated and treated with four organophosphates (Malathion, Chlorpyrifos, Phorate and Dimethoate) and find the influence of these organophosphates on them. Conventional methods of bacterial identification have major drawbacks. Therefore species level identification was carried out based on 16S rDNA sequence and GenBank database. The 16S rDNA gene is highly conserved within a species and among species of the same genus, and hence, used as the new technique for identification of bacteria to the species level. Fragment of 16S rDNA gene of the DNA of isolated bacteria was amplified by PCR . Forward and reverse DNA sequencing reaction of purified PCR amplicon was carried out with 16sF and 16sR primers. BLAST was performed and phylogenetic tree constructed using the sequences. The evolutionary distances were computed using the Kimura 2-parameter method and expressed in the units of the number of base substitutions per site. Phylogenetic analyses were conducted in MEGA4. 1359nt, 1458nt and 1309nt contig region of sample A, B and E was homologous with sequence with Genbank accession no. FJ158842.1, DQ178226.1 and HQ190844.1 which were Sphingomonas sp.SZL-1, Pseudomonas mendocina strain PC19 and Brevundimonas sp.XJ-412 respectively. Sphingomonas was affected the most followed by Pseudomonas by all the four organophosphates considered for study and was absent in most of the treated soil plates upto 21 st day whereas Brevundimonas was least affected, present in almost all the treated plates as compared with controls. The three of the above characterized bacteria is found to play a significant role in bioremediation and soil fertility maintenance. Our results emphasizes on less use of organophosphates in agroecosystem to reduce biotic stress on normal soil microfauna, that would ultimately be helpful in better crop yield, thereby maintaining natural ecological balance.

Adhesive polypeptides of Staphylococcus aureus identified using a novel secretion library technique in Escherichia coli

BackgroundBacterial adhesive proteins, called adhesins, are frequently the decisive factor in initiation of a bacterial infection. Characterization of such molecules is crucial for the understanding of bacterial pathogenesis, design of vaccines and development of antibacterial drugs. Because adhesins are frequently difficult to express, their characterization has often been hampered. Alternative expression methods developed for the analysis of adhesins, e.g. surface display techniques, suffer from various drawbacks and reports on high-level extracellular secretion of heterologous proteins in Gram-negative bacteria are scarce. These expression techniques are currently a field of active research. The purpose of the current study was to construct a convenient, new technique for identification of unknown bacterial adhesive polypeptides directly from the growth medium of the Escherichia coli host and to identify novel proteinaceous adhesins of the model organism Staphylococcus aureus.ResultsRandomly fragmented chromosomal DNA of S. aureus was cloned into a unique restriction site of our expression vector, which facilitates secretion of foreign FLAG-tagged polypeptides into the growth medium of E. coli ΔfliCΔfliD, to generate a library of 1663 clones expressing FLAG-tagged polypeptides. Sequence and bioinformatics analyses showed that in our example, the library covered approximately 32% of the S. aureus proteome. Polypeptides from the growth medium of the library clones were screened for binding to a selection of S. aureus target molecules and adhesive fragments of known staphylococcal adhesins (e.g coagulase and fibronectin-binding protein A) as well as polypeptides of novel function (e.g. a universal stress protein and phosphoribosylamino-imidazole carboxylase ATPase subunit) were detected. The results were further validated using purified His-tagged recombinant proteins of the corresponding fragments in enzyme-linked immunoassay and surface plasmon resonance analysis.ConclusionsA new technique for identification of unknown bacterial adhesive polypeptides was constructed. Application of the method on S. aureus allowed us to identify three known adhesins and in addition, five new polypeptides binding to human plasma and extracellular matrix proteins. The method, here used on S. aureus, is convenient due to the use of soluble proteins from the growth medium and can in principle be applied to any bacterial species of interest.

Overview

Proteomic technologies are used to study the complexity of proteins, their roles, and biological functions. It is based on the premise that the diversity of proteins, comprising their isoforms, and posttranslational modifications (PTMs) underlies biology. Based on an annotated human cardiac protein database, 62% have at least one PTM (phosphorylation currently dominating), whereas ≈25% have more than one type of modification. The field of proteomics strives to observe and quantify this protein diversity. It represents a broad group of technologies and methods arising from analytic protein biochemistry, analytic separation, mass spectrometry, and bioinformatics. Since the 1990s, the application of proteomic analysis has been increasingly used in cardiovascular research. Technology development and adaptation have been at the heart of this progress. Technology undergoes a maturation, becoming routine and ultimately obsolete, being replaced by newer methods. Because of extensive methodological improvements, many proteomic studies today observe 1000 to 5000 proteins. Only 5 years ago, this was not feasible. Even so, there are still road blocks. Nowadays, there is a focus on obtaining better characterization of protein isoforms and specific PTMs. Consequently, new techniques for identification and quantification of modified amino acid residues are required, as is the assessment of single-nucleotide polymorphisms in addition to determination of the structural and functional consequences. In this series, 4 articles provide concrete examples of how proteomics can be incorporated into cardiovascular research and address specific biological questions. They also illustrate how novel discoveries can be made and how proteomic technology has continued to evolve.

The Light Transmission Method as a New Technique for Determining Flooding Characteristics in Gas‐Liquid Contactors

AbstractIn gas‐liquid agitated vessels the flooding stage is generally used as a design criterion. The flooding stage is a characteristic dispersion stage which must be avoided in order to achieve efficient dispersion characteristics, while the identification of this flooding‐loading transition helps also determining the complete dispersion stage. Several methods have been applied for the determination of the flooding‐loading transition point. In this work, the light transmission method is used as a new technique for identification of this point in an air‐water dispersion system, agitated by a single six‐blade disc turbine. Using a relatively simple instrumentation, satisfactory results have been obtained. The method suggested is reliable, does not interfere with the fluid dynamics of the system, and is also applicable to nontransparent industrial reactors.

Identification of patients with congestive heart failure using different neural networks approaches

A new technique for identification of patients with congestive heart failure (CHF) from normal controls is investigated in this paper using spectral analysis and neural networks. The identification system consists of two parts: feature extraction part and classification part. The feature extraction part uses the method of approximate spectral density estimation of R-R-Intervals (RRI) data by implementing the soft decision sub-band decomposition technique. In the classification part, two different methods of machine learning approaches with neural networks are implemented and compared in their performances. Those approaches are: supervised neural network (back-propagation) and unsupervised neural network (Kohonen self organizing maps). The data used in this work is obtained from Massachusetts Institute of Technology (MIT) databases. A data set of 17 CHF and 53 normal subjects is used as original training data set, while another set of 12 CHF and 12 normal subjects is used as original test data set. The classification features are the spectral density of 6 different regions covering the whole spectrum of the RRI data obtained by 32-bands soft decision algorithm. A larger training data set, which is obtained by simulating 1000 CHF and 1000 normal subjects according to the spectral features obtained from the original training data, is used to train the neural network. The neural network is used then to test another simulated data set of the same size of the training date set (simulated according to the spectral features obtained from the original test data set). The accuracy of the classification is found to be about 83.65% and 91.43% with supervised neural networks and unsupervised neural networks respectively.

Identification of annular welded joints in magnetograms of flaw detectors with transverse magnetization

A new technique for identification of annular welded joints by signals from a flaw detector of transverse magnetization is considered. The direction of the leakage field along the axis of a joint makes it almost invisible to the eye during an expert analysis of data and identification of joints should be automated because of their great number. The proposed approach is based on application of a sliding window to processing of signals, conversion into a binary form, and a specific case of Radon transformation. The efficiency of this approach is proved. The results of exploitation of this algorithm are considered.

Liquid-based Pap Smears as a Source of RNA for Gene Expression Analysis

The Papanicolaou smear has contributed to a decrease in cervical cancer rates in populations that receive regular screening. However, treatment of women with mildly abnormal cells is problematic because the majority of these women do not develop neoplasia. Thus, new techniques for identification of truly precancerous cells are needed. Characterization of cellular gene expression patterns is now possible through microarray techniques that survey the expression of large numbers of genes simultaneously. Here we have assessed the feasibility of combining new microscopic and molecular technologies to determine gene expression patterns in cervical intraepithelial neoplasia grade 3 cells recovered from liquid cytology-based Papanicolaou smear slides. Laser capture microdissection was used to retrieve cervical cells from ThinPrep prepared slides. The quality of RNA recovered from these cells proved suitable for reverse transcription polymerase chain reaction and for T7 RNA polymerase-based linear amplification of messenger RNA. We developed an optimized RNA amplification protocol that permitted microarray gene expression profiling in samples of as few as 20 cervical cells. This approach combining laser capture microdissection, linear RNA amplification, and microarray gene expression analysis will enable comparison of gene expression patterns between cytologically abnormal and normal cells taken from a single slide and may assist in the differential diagnosis of histologically difficult cases.

A new technique for identification of eighteen flutter derivatives using a three-degree-of-freedom section model

The prediction of flutter instability is of major concern for design of flexible structures. This necessitates the identification of aeroelastic parameters, known as flutter derivatives from wind tunnel experiments. The extraction of flutter derivatives becomes more challenging when the number of degrees of freedom (DOF) increases from two to three. Since the work in the field of identifying all 18 flutter derivatives has been limited, it has motivated the development of a new system identification method (iterative least squares method or ILS method) to efficiently extract the flutter derivatives using a section model suspended by a three-DOF elastic suspension system. The accuracy of a particular flutter derivative was determined by comparing the results obtained from all possible DOF combinations.

Time–frequency analysis of lamb waves caused by partial discharges and free particles in GIS

AbstractWe investigated the propagation properties of Lamb waves in a GIS tank, using time–frequency analysis to diagnose the insulation performance of GIS. We measured the acoustic signals excited by metallic particles colliding with the tank sheath, and those emitted by partial discharge in the GIS. The wavelet transform was used to decompose the wave data into its time–frequency components. As a result, it was confirmed that Lamb waves with the dispersive property of the velocity are excited and propagate in a spiral path along the tank wall due to the cylindrical structure of the tank. Taking these results into consideration, we propose a new technique for identification of defect locations in GIS based on time–frequency analysis of acoustic signals with the wavelet transform. © 2003 Wiley Periodicals, Inc. Electr Eng Jpn, 145(3): 25–32, 2003; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/eej.10163

GIS内の部分放電およびフリー異物により発生するラム波の時間周波数解析

We investigated the propagation properties of Lamb waves in a GIS tank, using time–frequency analysis to diagnose the insulation performance of GIS. We measured the acoustic signals excited by metallic particles colliding with the tank sheath, and those emitted by partial discharge in the GIS. The wavelet transform was used to decompose the wave data into its time–frequency components. As a result, it was confirmed that Lamb waves with the dispersive property of the velocity are excited and propagate in a spiral path along the tank wall due to the cylindrical structure of the tank. Taking these results into consideration, we propose a new technique for identification of defect locations in GIS based on time–frequency analysis of acoustic signals with the wavelet transform. © 2003 Wiley Periodicals, Inc. Electr Eng Jpn, 145(3): 25–32, 2003; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/eej.10163