Publikační činnost Katedry bezpečnostních služeb / Publications of Department of Security Services (060)

Permanent URI for this collectionhttp://hdl.handle.net/10084/111244

Kolekce obsahuje bibliografické záznamy publikační činnosti (článků) akademických pracovníků Katedry bezpečnostních služeb (060) v časopisech registrovaných ve Web of Science od roku 2003 po současnost.
Do kolekce jsou zařazeny:
a) publikace, u nichž je v originálních dokumentech jako působiště autora (adresa) uvedena Vysoká škola báňská-Technická univerzita Ostrava (VŠB-TUO),
b) publikace, u nichž v originálních dokumentech není v adrese VŠB-TUO uvedena, ale autoři prokazatelně v době jejich zpracování a uveřejnění působili na VŠB-TUO.

Bibliografické záznamy byly původně vytvořeny v kolekci Publikační činnost akademických pracovníků VŠB-TUO, která sleduje publikování akademických pracovníků od roku 1990.

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Recent Submissions

Now showing 1 - 19 out of 19 results
  • Item type: Item ,
    Gas in scattering media absorption spectroscopy for time-resolved characterization of gas diffusion processes in porous materials
    (Elsevier, 2024) Dostál, Michal; Suchánek, Jan; Bitala, Petr; Klečka, Vít; Nevrlý, Václav; Klímková, Lenka; Konečný, Petr; Vořechovská, Dita; Kubát, Pavel; Zelinger, Zdeněk
    Signal denoising is a serious problem for in-situ laser diagnostics of gases dispersed in porous materials. An optical sensor system based on absorption spectroscopy of gases in a scattering environment was built using a 3D printed cell with reference samples of polystyrene foam. Selected A-band spectral lines of molecular oxygen were investigated using wavelength modulated spectroscopy with second harmonic detection. Quantitative information on the concentration of analyte dispersed in the porous medium was obtained at extremely low signal-to-noise ratio (SNR < 10). A spectral line shape fitting procedure based on the Gabor transform followed by a filtered inverse fast Fourier transform allowed to achieve a relatively high SNR with good linearity over a range of reduced oxygen concentrations in air. Finally, the applicability of the optical sensor system to monitor the diffusion of carbon dioxide into air dispersed in a Styrofoam sample and vice versa was successfully demonstrated.
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    Ibuprofen and ketoprofen - Inert drugs or potential environmental hazard?
    (MDPI, 2023) Pawłowska, Barbara; Telesiński, Arkadiusz; Sysa, Marcin; Godela, Agnieszka; Ščurek, Radomír; Biczak, Robert
    Ibuprofen (IBU) and ketoprofen (KET) are among the world’s most popular and widely used nonsteroidal anti-inflammatory drugs (NSAIDs). Due to their high usage, these drugs have entered the environment, including the soil, and, like any other chemical compound, can have a negative effect on it. Therefore, an attempt was made to evaluate the effects of these two popular drugs on soil bacteria and fungi, the bivalve crustaceans (Heterocipris incongruens) and the growth and development of spring barley. The tested drugs did not show any negative effects on the total bacterial abundance. Effects were observed on the growth and survival of H. incongruens and on the abundance of fungi in the soil at the highest concentrations tested. The presence of IBU and KET in the soil in which spring barley was cultivated caused an increase in the activity of antioxidant enzymes catalase (CAT), superoxide dismutase (SOD), and guaiacol peroxidase (POD); an increase in the content of proline and ascorbic acid (AsA) in the seedlings of this grain; and a decrease in the yield of fresh plant weight, especially at the application of concentrations of 100 and 1000 mg·kg−1 of soil’s dry weight (DW). Effects on barley seed germination potential and germination capacity, plant dry matter content, assimilation pigment content and malondialdehyde (MDA) were also observed at the highest concentrations.
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    Conception of effective mass and effect of force-measurement of taekwon-do master
    (Projack, 2023) Wąsik, Jacek; Mosler, Dariusz; Góra, Tomasz; Ščurek, Radomír
    Background: Engagement of mass during a strike in martial arts and its relation to generated force is one of the factor, deciding on the success of an athlete. The aim of this study was to calculate the quantitative portion of effective mass of a athlete who execute striking techniques, by registering a force of strike and time of its contact with a sensor (target). Material and methods: Black belt taekwon-do (International Taekwon-do Federation) master (age 32 years, body mass of 60 kg, height of 160 cm) performed three types of techniques for three times; roundhouse kick, front kick, side kick and straight punch. His target was a shield mounted on force plate MC 12-2K with amplifier GEN5. Acceleration data was obtained by mounting wireless IMU sensor manufactured by Noraxon attached to a lateral side of a foot. Results: The highest force was registered for side kick (2406.9 ± 299.8 N), and the lowest for front kick (2008.6 ± 284.8 N). The shortest time of contact with a target had roundhouse kick (0.026 ± 0.010 s), while the longest front kick (0.119 ± 0.052 s). The highest effective mass was achieved by front kick (44%). The highest effect of force coefficient was obtained by roundhouse kick. Other techniques with much lower values seems to be push-like movements. Conclusions: During strike, a crucial factor for its effectiveness lies in its destructive power. It does not only depend on generated force and engaged mass, but also on contact duration. Proposed quantitative indicators could be beneficial during preparation of an athlete to sport competition. Correctly calculated effective mass allows to measure force in a training environment.
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    Performance and robustness of regional image segmentation driven by selected evolutionary and genetic algorithms: Study on MR articular cartilage images
    (MDPI, 2022) Kubíček, Jan; Varyšová, Alice; Černý, Martin; Hančarová, Kristýna; Oczka, David; Augustynek, Martin; Penhaker, Marek; Prokop, Ondřej; Ščurek, Radomír
    The analysis and segmentation of articular cartilage magnetic resonance (MR) images belongs to one of the most commonly routine tasks in diagnostics of the musculoskeletal system of the knee area. Conventional regional segmentation methods, which are based either on the histogram partitioning (e.g., Otsu method) or clustering methods (e.g., K-means), have been frequently used for the task of regional segmentation. Such methods are well known as fast and well working in the environment, where cartilage image features are reliably recognizable. The well-known fact is that the performance of these methods is prone to the image noise and artefacts. In this context, regional segmentation strategies, driven by either genetic algorithms or selected evolutionary computing strategies, have the potential to overcome these traditional methods such as Otsu thresholding or K-means in the context of their performance. These optimization strategies consecutively generate a pyramid of a possible set of histogram thresholds, of which the quality is evaluated by using the fitness function based on Kapur's entropy maximization to find the most optimal combination of thresholds for articular cartilage segmentation. On the other hand, such optimization strategies are often computationally demanding, which is a limitation of using such methods for a stack of MR images. In this study, we publish a comprehensive analysis of the optimization methods based on fuzzy soft segmentation, driven by artificial bee colony (ABC), particle swarm optimization (PSO), Darwinian particle swarm optimization (DPSO), and a genetic algorithm for an optimal thresholding selection against the routine segmentations Otsu and K-means for analysis and the features extraction of articular cartilage from MR images. This study objectively analyzes the performance of the segmentation strategies upon variable noise with dynamic intensities to report a segmentation's robustness in various image conditions for a various number of segmentation classes (4, 7, and 10), cartilage features (area, perimeter, and skeleton) extraction preciseness against the routine segmentation strategies, and lastly the computing time, which represents an important factor of segmentation performance. We use the same settings on individual optimization strategies: 100 iterations and 50 population. This study suggests that the combination of fuzzy thresholding with an ABC algorithm gives the best performance in the comparison with other methods as from the view of the segmentation influence of additive dynamic noise influence, also for cartilage features extraction. On the other hand, using genetic algorithms for cartilage segmentation in some cases does not give a good performance. In most cases, the analyzed optimization strategies significantly overcome the routine segmentation methods except for the computing time, which is normally lower for the routine algorithms. We also publish statistical tests of significance, showing differences in the performance of individual optimization strategies against Otsu and K-means method. Lastly, as a part of this study, we publish a software environment, integrating all the methods from this study.
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    The determination of cystatin C in biological samples via the surface plasmon resonance method
    (Future Science Ltd, 2021) Lesňák, Michal; Jursa, Dominik; Miškay, Marek; Riedlová, Helena; Barčová, Karla; Adámek, Milan
    Surface plasmon resonance imaging biosensors have a number of advantages that make them superior to other analytical methods. These include the possibility of label-free detection, speed and high sensitivity to low protein concentrations. The aim of this study was to create and analyze biochips, with the help of which it is possible to test cystatin C in patient urine samples and compare the results with the one-time traditional ELISA method. The main advantage of the surface plasmon resonance imaging method is the possibility of repeated measurements over a long period of time in accordance with clinical practice. The surface of the biochip was spotted with anticystatin C and a negative control of mouse IgG at a ratio of 1:1. The aforementioned biochip was first verified using standard tests and then with patient samples, which clearly confirmed the required sensitivity even for very low concentrations of cystatin C. METHOD SUMMARY Surface plasmon resonance is a sensitive optical method that uses the generation of electromagnetic waves (plasmons) for detection. The propagation of surface plasmons at the metal-dielectric interface is very sensitive to changes in the refractive index, which allows for the monitoring of substance properties very close to the interface. The main advantage of the sensor over other currently used techniques is the possibility of label-free analysis and real-time analysis, with high sensitivity and specificity of the optical method.
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    Modelling of the electrical membrane potential for concentration polarization conditions
    (MDPI, 2022) Batko, Kornelia M.; Ślęzak-Prochazka, Izabella; Ślęzak, Andrzej; Bajdur, Wioletta M.; Ščurek, Radomír
    Based on Kedem-Katchalsky formalism, the model equation of the membrane potential (& UDelta;psi s) generated in a membrane system was derived for the conditions of concentration polarization. In this system, a horizontally oriented electro-neutral biomembrane separates solutions of the same electrolytes at different concentrations. The consequence of concentration polarization is the creation, on both sides of the membrane, of concentration boundary layers. The basic equation of this model includes the unknown ratio of solution concentrations (C-i/C-e) at the membrane/concentration boundary layers. We present the calculation procedure (C-i/C-e) based on novel equations derived in the paper containing the transport parameters of the membrane (L-p, sigma, and omega), solutions (rho, nu), concentration boundary layer thicknesses (delta(l), delta(h)), concentration Raileigh number (R-C), concentration polarization factor (zeta(s)), volume flux (J(v)), mechanical pressure difference (& UDelta;P), and ratio of known solution concentrations (C-h/C-l). From the resulting equation, & UDelta;psi(s) was calculated for various combinations of the solution concentration ratio (C-h/C-l), the Rayleigh concentration number (R-C), the concentration polarization coefficient (zeta(s)), and the hydrostatic pressure difference (& UDelta;P). Calculations were performed for a case where an aqueous NaCl solution with a fixed concentration of 1 mol m(-3) (C-l) was on one side of the membrane and on the other side an aqueous NaCl solution with a concentration between 1 and 15 mol m(-3) (C-h). It is shown that (& UDelta;psi(s)) depends on the value of one of the factors (i.e., & UDelta;P, C-h/C-l, R-C and zeta(s)) at a fixed value of the other three.
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    A special Peripheral Component Interconnect Express card for Video Surveillance Systems in alarm applications
    (Sigma Not, 2021) Ševčík, Jiří; Mach, Václav; Adámek, Milan; Valouch, Jan; Barčová, Karla
    Many companies use the Video Surveillance Systems (VSS) application for security applications. However, this system is usually designed as an external independent device and the security person is forced to use it locally with limited control. The aim of this paper is to design the extended Peripheral Component Interconnect Express (PCI-E) card for the VSS application for extensive companies. The card has several independent Ethernet terminals where IP cameras using Power over Ethernet (PoE) can be connected. This solution is much more cost-effective and easy to use solution than traditional Digital Video Recorder (DVR). Designed solutions guarantee flawless and reliable video signal transmission for security applications.
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    Simulation of S-entropy production during the transport of non-electrolyte solutions in the double-membrane system
    (MDPI, 2020) Ślęzak, Andrzej; Bajdur, Wioletta M.; Batko, Kornelia M.; Ščurek, Radomír
    Using the classical Kedem-Katchalsky' membrane transport theory, a mathematical model was developed and the original concentration volume flux (J(v)), solute flux (J(s)) characteristics, and S-entropy production by J(v), ((psi S)Jv) and by J(s) ((psi S)Js) in a double-membrane system were simulated. In this system, M-1 and M-r membranes separated the l, m, and r compartments containing homogeneous solutions of one non-electrolytic substance. The compartment m consists of the infinitesimal layer of solution and its volume fulfills the condition V-m -> 0. The volume of compartments l and r fulfills the condition V-l = V-r -> infinity. At the initial moment, the concentrations of the solution in the cell satisfy the condition C-l < C-m < C-r. Based on this model, for fixed values of transport parameters of membranes (i.e., the reflection (sigma(l), sigma(r)), hydraulic permeability (L-pl, L-pr), and solute permeability (omega(l), omega(r)) coefficients), the original dependencies C-m = f(C-l - C-r), J(v) = f(C-l - C-r), J(s) = f(C-l - C-r), (psi S)Jv = f(C-l - C-r), (psi S)Js = f(C-l - C-r), R-v = f(C-l - C-r), and R-s = f(C-l - C-r) were calculated. Each of the obtained features was specially arranged as a pair of parabola, hyperbola, or other complex curves.
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    Polyopimization of the chemical and biological processes for removing nitrogen and phosphorus compounds from municipal wastewater using a multi-treated predictive control system (MPC)
    (Sigma-Not, 2019) Gaska, Krzysztof; Lobur, Mykhailo; Jaworski, Nazariy; Bajdur, Wioletta M.; Ciuła, Józef; Vovk, Myroslava; Ščurek, Radomír
    An advanced model for the optimization of the title processes was developed by using a multi-threaded predictive control system. The activated sludge method was used in 2 biol. reactors, where denitrification and nitrification and removal of org. C compds. and dephosphatation took place. A sewage aeration and movement in bioreactors was generated by using agitators or sludge recirculation. The computer model of the wastewater treatment plant was developed in a com. environment. An activated sludge model was used to model biochem. processes, including org. C and N removal and transformations involving bacteria using the ability to store P in cell biomass. Then, quantitative and qualitative parameters were identified and the model was calibrated by det. the agreement of simulation results with measured data.
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    A fuzzy logic approach for the reduction of mesh-induced error in CFD analysis: A case study of an impinging jet
    (MDPI, 2019) Sosnowski, Marcin; Krzywanski, Jaroslaw; Ščurek, Radomír
    A crucial step in any computational fluid dynamics (CFD) analysis is the discretization of the domain because it influences truncation errors, numerical stability, and the convergence of the model. Therefore, the appropriate selection of numerical mesh parameters crucially contributes to the reliability of the obtained results. Therefore, an innovative approach to reducing the mesh-induced error in CFD analysis of an impinging jet using fuzzy logic is proposed within the paper. The flow parameters were obtained using the Reynolds-averaged Navier–Stokes calculations, based on the mesh parameters obtained using the grid convergence index and fuzzy logic, were compared to each other and to experimental research results. The fuzzy logic approach to define mesh parameters turned out to be a very promising method as it allowed us to obtain results that are qualitatively and quantitatively comparable to commonly used but far more time-consuming methods.
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    Prediction model of alcohol intoxication from facial temperature dynamics based on K-means clustering driven by evolutionary computing
    (MDPI, 2019) Kubíček, Jan; Vilímek, Dominik; Křesťanová, Alice; Penhaker, Marek; Kotalová, Eva; Faure-Brac, Bastien; Noel, Clement; Ščurek, Radomír; Augustynek, Martin; Černý, Martin; Kantor, Tomáš
    Alcohol intoxication is a significant phenomenon, affecting many social areas, including work procedures or car driving. Alcohol causes certain side effects including changing the facial thermal distribution, which may enable the contactless identification and classification of alcohol-intoxicated people. We adopted a multiregional segmentation procedure to identify and classify symmetrical facial features, which reliably reflects the facial-temperature variations while subjects are drinking alcohol. Such a model can objectively track alcohol intoxication in the form of a facial temperature map. In our paper, we propose the segmentation model based on the clustering algorithm, which is driven by the modified version of the Artificial Bee Colony (ABC) evolutionary optimization with the goal of facial temperature features extraction from the IR (infrared radiation) images. This model allows for a definition of symmetric clusters, identifying facial temperature structures corresponding with intoxication. The ABC algorithm serves as an optimization process for an optimal cluster's distribution to the clustering method the best approximate individual areas linked with gradual alcohol intoxication. In our analysis, we analyzed a set of twenty volunteers, who had IR images taken to reflect the process of alcohol intoxication. The proposed method was represented by multiregional segmentation, allowing for classification of the individual spatial temperature areas into segmentation classes. The proposed method, besides single IR image modelling, allows for dynamical tracking of the alcohol-temperature features within a process of intoxication, from the sober state up to the maximum observed intoxication level.
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    Application of water cumulative charges as a water spouts for intensive flame extinguishing
    (Defence Scientific Information Documentation Centre, 2018) Hütter, Marek; Lichorobiec, Stanislav; Ščurek, Radomír
    Shape cumulative charge is a set of explosive components that uses directional energy accumulation. The water cumulative charges are filled with water, which forms a water-directed beam that has the ability to effectively counteract the intense flame that is induced by gaseous flammable gas or liquid from the damaged gas duct and extinguishes it. Study contains description of the experimentally constructed cumulative charge as well as the analysis of results of experiments carried out in real conditions. Based on the facts gained from the experiments we can conclude that the cumulative water charge has a significant potential and possibilities to extinguish an intense flame.
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    Study of the impact of the cyclic loads on changes in thermomechanical properties of polyamide
    (Sigma-Not, 2018) Kula, Monika; Gnatowski, Adam; Bajdur, Wioletta M.; Ščurek, Radomír
    The samples of polyamide 6.10 were subjected to strains by stretching-compression and by bending at temps. in the range from -140 degrees C to 140 degrees C. The tests were conducted for single cycle and multiple cycles, for previously loaded as well as unloaded samples. Dynamic anal method and differential scanning calorimetry were used to det. values of mech. lossi-ness factors and degrees of crystallinity, resp. Cyclic loads of polyamide samples resulted in a decrease in the value of its mech. lossiness factors and degree of crystallinity.
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    Zastosowanie cyklu życia do oceny wpływu na środowisko nowo zsyntezowanych flokulantów polimerowych
    (Sigma-Not, 2017) Bajdur, Wioletta M.; Henclik, Anna; Grabowska, Marlena; Ščurek, Radomír; Sikorová, Kateřina
    Środowiskowa ocena cyklu życia (LCA) stosowana w ocenie oddziaływania produktów na środowisko jest techniką, która może mieć duże znaczenie w produkcji flokulantów polimerowych. Możliwość przeprowadzenia pełnej analizy cyklu życia flokulantów, a tym samym procesów produkcyjnych, z użyciem oprogramowań LCA pozwala na wiarygodną i rzetelną identyfikację źródeł zagrożeń środowiskowych i wpływu projektowanych produktów na środowisko. W artykule przedstawiono możliwość zastosowania techniki LCA do identyfikacji źródeł i oceny oddziaływania na środowisko potencjalnych flokulantów syntezowanych z poprodukcyjnych odpadów żywic fenolowo- -formaldehydowych. Ocena cyklu życia mostanowić odpowiednie narzędzie do działań pozwalających na ograniczenie zagrożeń środowiskowych i dokonać wyboru flokulantu najmniej obciążającego środowisko.
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    Attenuation of thermal radiation through water mist
    (Wiley, 2018) Balner, Dalibor; Barčová, Karla
    This article focuses on the interaction of thermal radiation with water droplets and the creation of water mist for the purpose of evaluating the decrease of heat flux when positioning a water curtain of various parameters between a radiation source and a radiometer. The change of water curtain parameters, affecting the passing through of thermal radiation, was performed using five nozzles with a variable spray characteristics. For the respective nozzles the attenuation of thermal radiation was determined and the thermal radiation transmittance was calculated. Water mist was created using a high-pressure pump and nozzles with a different size of the orifice. The measurement of droplet size was performed using the time-shift technique. The Omegalux radiant panel was used as the radiation source and the Hukseflux SBG01 radiometer with a working range of 0-5 kW.m(-2) was used as the detector.
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    First application of multilayer graphene cantilever for laser photoacoustic detection
    (Elsevier, 2017) Suchánek, Jan; Dostál, Michal; Vlasáková, Tereza; Janda, Pavel; Klusáčková, Monika; Kubát, Pavel; Nevrlý, Václav; Bitala, Petr; Civiš, Svatopluk; Zelinger, Zdeněk
    The mechanical behaviours of multilayer graphene (MLG) membranes and cantilevers were investigated for the sensitive detection of acoustic waves in gases. The aim of this Work was to find sensors for laser photoacoustic spectroscopy with high sensitivity. The application of the MLG cantilever for photoacoustic detection was reported for the first time. MLG membranes and cantilevers were prepared from highly ordered pyrolytic graphite (HOPG) by multiple mechanical cleavages allowing simple adjustment of the membrane/cantilever thickness and relevant mechanical parameters. The MLG cantilevdr/membrane movements induced by pressure waves triggered by the absorption of the CO2 laser pulse in the gas-filled photoacoustic cell were detected by a He-Ne laser beam reflected from the cantilever/membrane to a position sensitive detector (optical microphone). The sensitivity of the MLG cantilevers for the photoacoustic detection of methanol vapours (testing gas) was more than one order of magnitude higher in comparison with a top class microphone (Bruel & Kjaer). The signal-to-noise ratio of 19, 61, and 70 together with the limits of detection of 0.75 ppm, 0.42 and 0.33 ppm were calculated for the condenser microphone, the MLG membrane, and the MLG cantilever, respectively. Additionally, the high sensitivity of both MLG elements for the photoacoustic detection is also promising thanks to the single layer graphene with very a small thickness on the nanometer scale.
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    Integrated Safety Management Systems
    (Czestochowa University of Technology, Faculty of Management, 2016) Holubová, Věra
    Safety is an integral part of the management process of an organisation. The effectiveness of safety is related to the safety management system of the organisation, and the organisation's management system as a whole. Both systems are connected to the general principles of management. These general management principles were used to establish an integrated approach to the process of safety management through the integration of Integrated Management Systems (IMS), which work on the principles and rules of standardised management control systems, and which are possible to add to the already established management control systems, with the goal of the elimination of duplication in safety management, including reducing the cost of safety management itself. One benefit for the field of science is the creation of new universal algorithm steps for building integrated safety, which is applicable for managing any area of safety under any organisation's conditions, regardless of the size and subject of activity of the given organisation. A benefit in practice is that it brings closer the general objective or aim, which is the effective approach to the integration process of the organisation management system.
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    Quantitative evaluation of the synergistic effects of failures in a critical infrastructure system
    (Elsevier, 2016) Řehák, David; Markuci, Jiří; Hromada, Martin; Barčová, Karla
    A critical infrastructure is a complicated system whose failure (in whole or in part) has a significant impact on national interests, including security, the economy and basic human needs. The system consists of relevant sectors, elements and their mutual linkages. In order to study critical infrastructures, it is necessary to apply a systems approach based on cross-sectoral evaluation and research into the linkages between the individual critical infrastructure sectors. Specifically, it is necessary to describe the individual vertical and horizontal levels of each critical infrastructure and the associated linkages. From this point-of-view, a critical infrastructure is embedded within the broader context of emergencies and enterprises, representing a compact and mutually-interconnected system. This paper focuses on quantitatively assessing the impacts of critical infrastructure failures. It presents a theory of synergistic linkages, their levels and the synergistic effects due to the joint action of impacts, which increase the overall impact on the critical infrastructure and on society. The concepts are formalized in the SYNEFIA methodology, which is applied in a case study involving the critical infrastructure of the Czech Republic. In particular, the methodology is applied to determine the synergistic effects of disruptions to multiple sub-sectors of the Czech infrastructure.
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    Verification of the efficacy of the special water shaped charge prototype
    (Defence Scientific Information Documentation Centre, 2015) Lichorobiec, Stanislav; Barčová, Karla
    On the basis of an analysis of terrorist attacks carried out worldwide, where in recent years a preference for the use of bulk explosives placed in vehicles prevails, effective protection against these malicious explosive-containing systems that have a single goal - to cause death and significant material damage in a large radius is dealt. These improvised explosive devices are, in pyrotechnical terms, ranked as one of the most effective weapons, with a highly destructive character of explosive effect. A special water shaped charge that is able to destructively disassemble a bomb without initiation has been developed as an effective invasive means of eliminating similarly designed terrorist explosives hidden in cars, a condition which allows for considerable variation in location.