Scanning Tool Research Articles

Container Technologies for ARM Architecture: A Comprehensive Survey of the State-of-the-Art

Container technology is becoming increasingly popular as an alternative to traditional virtual machines because it provides a faster, lighter, and more portable runtime environment for the applications. A container bundles the application and its binary code, libraries, and configuration files together while sharing the host operating system image. Accordingly, containers efficiently share resources and operate small micro-services, software programs, and even more extensive applications with less overhead than virtual machines. There are many container technologies available with Docker being the most popular and many technologies support multiple architectures, including the ARM architecture. Due to its energy efficiency and high-performance, which are crucial parameters in containerization, ARM architecture is becoming prevalent in container technologies. In this paper, we explore various container technologies that support ARM architecture and investigate the pros and cons of each technology. Moreover, we provide a comparative analysis of both container orchestrators and container runtimes that are most prominent competitors of Docker. We also consider security of container technologies with particular focus on the image scanning tools that supports ARM architecture. Our survey reveals that ARM technology is gaining popularity in containerization and almost all recent technologies support ARM architecture.

Combining metaheuristics and process mining: Improving cobot placement in a combined cobot assignment and job shop scheduling problem

Human workers can share a workspace with modern collaborative robots (cobots). The main differences to traditional robots are, that workers do not need a safety distance when interacting with cobots, as they move slower than typical industrial robots. Cobots also have fast setup times compared to traditional resources. The hybridization is based on a previous work of the authors, where a job shop scheduling problem that is extended with a robot to workstation assignment with a hybrid genetic algorithm is solved. In this paper, the potential of hybridizing an optimization algorithm with process mining techniques to improve the solution quality by gaining information on the solution structure is analyzed. This additional information should help to guide the search process. Process mining techniques are presented to analyze the solutions and learn from them. The idea of this work is to understand the solutions generated by the genetic algorithms as process executions, e.g., the production of a part as a process instance executed across the selected work stations. Then, by generating process event log data out of selected solutions, state-of-the-art process mining techniques can be used as visualization and scanning tools for the underlying processes. This way, for example, bottleneck workstations in the production process can be highlighted. Based on created scenarios, this paper demonstrates how genetic algorithms and process mining techniques can be combined. In the future, it is planned that information that is mined from generated logs of an evaluation framework is used to improve the performance of hybrid genetic algorithms by using this information in a feedback loop. Generated insight in cobot placement can also be used for prescriptive analytics in real-world manufacturing companies that want to utilize cobots. The focus of this paper lies in the discussion of the usage of potential information extracted from process mining.

Endobronchial Ultrasound-Guided Transbronchial Needle Aspiration (EBUS-TBNA): Technical Updates and Pathological Yield.

Since the endobronchial ultrasound bronchoscope was introduced to clinical practice, endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) has become the procedure of choice to sample hilar and mediastinal adenopathy. Multiple studies have been conducted in the last two decades to look at the different technical aspects of the procedure and their effects on the final cytopathological yield. In addition, newer modes of ultrasound scanning and newer tools with the potential to optimize the selection and sampling of the target lymph node have been introduced. These have the potential to reduce the number of passes, reduce the procedure time, and increase the diagnostic yield, especially in rare tumors and benign diseases. Herein, we review the latest updates related to the technical aspects of EBUS-TBNA and their effects on the final cytopathological yield in malignant and benign diseases.

University Computer Network Vulnerability Management using Nmap and Nexpose

Over the past few years, the advancement of technology in universities have led to rise in the number of vulnerabilities in University computer Network (UCN). To ensure robustness and hardness of UCN, an efficient Vulnerability Management System is required. The focus of current work is on the importance of vulnerability management in a UCN. A plethora of tools are used for vulnerability scanning and assessment. This paper also focuses on the implementation of vulnerability scanning tools on UCN. Assessment of scan results is done to identify vulnerabilities in the network that need to be resolved on priority basis. Based on the scan results obtained after scanning the network using scanning tools, the decision can be taken to mitigate the vulnerabilities on priority basis. Vulnerability Management in a UCN is a stepwise procedure that needs to be implemented to keep the network secure. An effective VM framework is important and inevitable to prevent cyber security breaches in a UCN as it regularly checks for new vulnerabilities on and also provide solutions to remediate or resolve the vulnerabilities. The scanning tools used for the current work were Nmap and Nexpose. Nmap was used for information gathering of network and Nexpose was used for scanning the network for vulnerability detection.

Utilization of 3D printed orthoses for musculoskeletal conditions of the upper extremity: A systematic review

Study DesignSystematic Review Introduction3D printed orthoses are emerging as a possible option in the field of hand therapy to fabricate conventional casts and orthoses. It is unknown how this technology is currently being used to treat upper extremity musculoskeletal conditions, and if 3D orthoses are comparable to custom- made low temperature thermoplastic orthoses fabricated by hand therapists. Purpose of the StudyThe primary aim of this review was to investigate the utilization, effectiveness and feasibility of 3D printed technology to manufacture custom orthoses for musculoskeletal conditions of the upper extremity. MethodsStudies describing 3D printed orthoses or casts used in treatment with patients were included following a comprehensive literature search using CINAHL, PubMed, Medline, ProQuest, and EBSCO databases. The selected studies had to address musculoskeletal conditions of the elbow, wrist, hand and/or digits that would typically be immobilized with a cast or brace or orthotic or orthosis. ResultsTen studies met the inclusion criteria. Study designs included case studies, case series, and 1 randomized clinical trial. 3D printed orthoses/casts appear to be comfortable, provide adequate immobilization, and have pleasing aesthetics. However, expensive equipment, lack of appropriate software and scanning tools and lack of highly skilled clinicians are all factors preventing the implementation of 3D printed orthoses into current clinical practice. Discussion3D printed orthoses appear to be effective at immobilization of a limb, aesthetically pleasing, and utilize lightweight and well -ventilated materials. However, the feasibility of implementing 3D printing technology in hand therapy settings remains challenging in part due to the resources required. ConclusionsWhile 3D printing shows promise, the high cost of equipment, lack of training and skill of clinicians and the long time required for production are all factors that need to be improved to make 3D printing a viable option in the hand therapy setting.

A 3D approach to model the taper of irregular tree stems: making plots biomass estimates comparable in tropical forests.

In tropical forests, the high proportion of trees showing irregularities at the stem base complicates forest monitoring. For example, in the presence of buttresses, the height of the point of measurement (HPOM ) of the stem diameter (DPOM ) is raised from 1.3 m, the standard breast height, up to a regular part of the stem. While DPOM is the most important predictor for tree aboveground biomass (AGB) estimates, the lack of harmonized HPOM for irregular trees in forest inventory increases the uncertainty in plot-level AGB stock and stock change estimates. In this study, we gathered an original non-destructive three-dimensional (3D) data set collected with terrestrial laser scanning and close range terrestrial photogrammetry tools in three sites in central Africa. For the 228 irregularly shaped stems sampled, we developed a set of taper models to harmonize HPOM by predicting the equivalent diameter at breast height (DBH') from a DPOM measured at any height. We analyzed the effect of using DBH' on tree-level and plot-level AGB estimates. To do so, we used destructive AGB data for 140 trees and forest inventory data from eight 1-ha plots in the Republic of Congo. Our results showed that our best simple taper model predicts DBH' with a relative mean absolute error of 3.7% (R2 = 0.98) over a wide DPOM range of 17-249 cm. Based on destructive AGB data, we found that the AGB allometric model calibrated with harmonized HPOM data was more accurate than the conventional local and pantropical models. At the plot level, the comparison of AGB stock estimates with and without HPOM harmonization showed an increasing divergence with the increasing share of irregular stems (up to -15%). The harmonization procedure developed in this study could be implemented as a standard practice for AGB monitoring in tropical forests as no additional forest inventory measurements is required. This would probably lead to important revisions of the AGB stock estimates in regions having a large number of irregular tree stems and increase their carbon sink estimates. The growing use of three-dimensional (3D) data offers new opportunities to extend our approach and further develop general taper models in other tropical regions.

Lining Wear Measurements using a Coordinate Measurement Machine

<div class="section abstract"><div class="htmlview paragraph">Accurate measurements of brake friction materials are critical to understanding brake behaviors during testing. Current methods typically utilize a hand gauge (or a machine, in some cases) to sample various discrete points on the brake lining. This approach limits measurements to planar wear characteristics, taper and thickness, and excludes more complex measurements such as cupping. The limited number of points means that a single errant point measurement or the choice of point locations can have a large impact on the reported wear measurement.</div><div class="htmlview paragraph">This paper will describe a method for utilizing a Coordinate Measurement Machine (CMM) fitted with a laser line scanning tool to generate a point cloud of data that can then be compared to an earlier measurement of the same piece or to a math model. This method produces thousands of data points which allows for more accurate volumetric wear calculations and color maps of the entire friction face. A gage R&R for this method is presented along with some of the challenges involved in fixturing and aligning brakes pads for analysis.</div></div>

Building Climate Change Adaptation and Resilience through Soil Organic Carbon Restoration in Sub-Saharan Rural Communities: Challenges and Opportunities

Soil organic carbon (SOC) is widely recognised as pivotal in soil function, exerting important controls on soil structure, moisture retention, nutrient cycling and biodiversity, which in turn underpins a range of provisioning, supporting and regulatory ecosystem services. SOC stocks in sub-Saharan Africa (SSA) are threatened by changes in land practice and climatic factors, which destabilises the soil system and resilience to continued climate change. Here, we provide a review of the role of SOC in overall soil health and the challenges and opportunities associated with maintaining and building SOC stocks in SSA. As an exemplar national case, we focus on Tanzania where we provide context under research for the “Jali Ardhi” (Care for the Land) Project. The review details (i) the role of SOC in soil systems; (ii) sustainable land management (SLM) techniques for maintaining and building SOC; (iii) barriers (environmental, economic and social) to SLM implementation; and (iv) opportunities for overcoming barriers to SLM adoption. We provide evidence for the importance of site-specific characterisation of the biophysicochemical and socio-economic context for effective climate adaptation. In particular, we highlight the importance of SOC pools for soil function and the need for practitioners to consider the type of biomass returns to the soil to achieve healthy, balanced systems. In line with the need for local-scale site characterisation we discuss the use of established survey protocols alongside opportunities to complement these with recent technologies, such as rapid in situ scanning tools and aerial surveys. We discuss how these tools can be used to improve soil health assessments and develop critical understanding of landscape connectivity and the management of shared resources under co-design strategies.

PROTOTIPE SISTEM DETEKSI SUHU TUBUH DAN MASKER WAJAH MENGGUNAKAN ALGORITMA LOCAL BINARY PATTERN (LBP) DAN ARDUINO NANO

The COVID-19 pandemic has changed the lifestyle of everyone around the world. In this change, wearing a mask is very important for every individual. Detection of people not wearing masks is a challenge as the outbreak of the Coronavirus pandemic has created large populations. In addition, detection of body temperature is also very important because one of the symptoms of COVID-19 is a high body temperature, therefore an effective method against the virus is to use a face mask and check body temperature in real time, and which will be the main focus in this prototype. how the LBP Algorithm can detect the use of masks and the Arduino Nano design with an infrared camera to measure body temperature which can be implemented in public places as a digital scanning tool. This testing prototype aims to be used in evaluating, preventing, and planning actions against COVID-19 and maintaining a distance between officers and the public in an environment where masks are mandatory and normal body temperature is required. The steps for building the model are collecting data, pre-processing, testing the model, and implementing the model. The results of this prototype test show an F1 score of 0.99 accuracy for mask detection and body temperature measurement in real time every second in degrees Celsius (C) with the highest average percentage error of 3.10% at a distance of 4 meters. DOI : https://doi.org/10.33005/sibc.v14i2.2679

Evolutionary ensemble feature selection learning for image‐based assessment of lymphedema arm volume

SummaryArm lymphedema is a side effect of surgery and radiation therapy in patients with breast cancer. There are several methods to measure lymphedema arm volume, such as water displacement (WD) and circumferential measurement (CM). Although these techniques have a satisfactory level of accuracy, they have some limitations for clinical use in practical applications. To overcome these drawbacks, a horizontal‐vertical image scanning (HVIS) tool, is presented as a valid method for arm volume measurement. To predict the arm volume, an evolutionary ensemble feature selection learning (named EEFSL) comprising different base learners (KNN, SVM, ANFIS, Decision Tree, and Naïve Bayes) is presented. In order to improve the performance of the EEFSL model, its hyperparameters are optimized using genetic algorithm (GA). The hyperparameters include the weights of different base learners and the specific features for each base learner. The fitness function of GA is to maximize the correlation between predicted and actual arm volumes. The proposed method was successfully developed for arm measurement of 60 arms from 30 women with arm lymphedema. Obtained results indicate that the proposed HVIS‐EEFSL method is a reliable and valid technique to measure arm volume of patients with lymphedema, suitable for daily clinical use instead of WD and CM.

A RESEARCH QUICK RESPONSE CODE AS AN INNOVATIVE TEACHING LEARNING TOOL IN SMK PATRIOT PETERONGAN JOMBANG

Abstract
 
 The use of ICT in education is must in digital era. It is quality learning effort. QR Code is technology-based media developed as very fast scanning tool. However, its existence is still rarely used in education. The existence of ICT in the form of QR code in English lessons can support learning success as not all students have computer. QR code is solution to the problem of students because it can be installed on Android. This study examines the use of QR Code media in optimizing high school English learning, especially in listening skills. A study on the use of QR Code was conducted in 2021 at SMK Patriot Peterongan Jombang with a total of 25 students as the subject. The type of this research is development research. To analyze the results of the research, it is used quantitative descriptive analysis. Data obtained through questionnaires and learning outcomes tests. The researcher examined the influence of QR Media using paired sample t-test. The results showed that there is a significant effect after being given treatment because the significance is < 0,05, that is 0,00. Through QR Code, students can evaluate learning outcomes well and make it easy to understand the material being studied. The results of this study are very relevant in learning, especially in increasing students' learning outcomes to learning English at the senior high school level.

Wireless Interference Analysis for Home IoT Security Vulnerability Detection

The integrity of wireless networks that make up the clear majority of IoT networks lack the inherent security of their wired counterparts. With the growth of the internet of things (IoT) and its pervasive nature in the modern home environment, it has caused a spike in security concerns over how the network infrastructure handles, transmits, and stores data. New wireless attacks such as KeySniffer and other attacks of this type cannot be tracked by traditional solutions. Therefore, this study investigates if wireless spectrum frequency monitoring using interference analysis tools can aid in the monitoring of device signals within a home IoT network. This could be used enhance the security compliance guidelines set forth by OWASP and NIST for these network types and the devices associated. Active and passive network scanning tools are used to provide analysis of device vulnerability and as comparison for device discovery purposes. The work shows the advantages and disadvantages of this signal pattern testing technique compared to traditional network scanning methods. The authors demonstrate how RF spectrum analysis is an effective way of monitoring network traffic over the air waves but also possesses limitations in that knowledge is needed to decipher these patterns. This article demonstrates alternative methods of interference analysis detection.

Application of Computer-Aided Reverse Engineering System in the Design of Orthotic Boots for Clubfoot Patients

Clubfoot is an abnormal foot as a congenital disability in which one or both feet appear rotated inward and downward. In some cases, the foot and leg sizes may be smaller compared to each other. Accordingly, there is a need for customized shoes designed for clubfoot patients who has difficulty in wearing regular shoes to carry out their daily activities. This study examines using computer-aided reverse engineering system technology to design and manufacture customized boots with specific sizes and shapes. Reverse engineering with a handy scan 3D scanning tool with a tolerance of 0.001 mm was implemented to obtain 3D mesh data of the patient’s clubfoot (male with 65 years). The Curve Base Surface Modeling method provided 3D-CAD drawings of the insole and shoe, the last models, precisely and following the size and shape of the patient’s foot. This CAD data could be appropriately transferred to CNC machines and PowerMill CAM software to obtain patterns of insole and shoe-last from EVA foam rubber and wood. Both ways were well fitted with leather by a shoemaker into a pair of customized clubfoot boots. The field boot-wearing test used feedback from the clubfoot patient wear-testers to assess the functionality and acceptability of the boot products. In this way, the club foot patient can able to perceive wearing comfortably and perfectly. In the field boot-wearing test, the patient could walk at a speed of 83.1% -91.7% faster (2 - 5 minutes/foot) than that when the patient wears the old boot design model. Significantly, the present approach may add knowledge theoretically and practically to use CARE system-based technology in treating clubfoot patients with the need for custom shoes.

Fault controls on spatial variation of fracture density and rock mass strength within the Yarlung Tsangpo Fault damage zone (southeastern Tibet)

Recent technological developments including Unmanned Aerial Vehicles, terrestrial laser scanning, photogrammetry and point cloud analysis software tools greatly enhance our ability to investigate the relationship between faulting and the spatial geometrical and mechanical characteristics of a rock mass controlled by faulting. Using the Yarlung Tsangpo (YLTP) Fault of southeastern Tibet as a case study, we propose the procedures, investigation approaches, evidence and criteria for quantitatively defining the threshold distance for damage zones combining the spatial variations of fracture density, rock mass strength and rockfall inventory in this study. Based on the study, the extent of threshold distance of damage zone of the YLTP Fault is estimated as 5.9 ± 0.6 km, which has been compared with published data from the evidence of thermal effects related to exactly the same fault and shows a good match. Five predominant joint sets were identified in the study area. Influenced by tectonics, the relationship between mean spacing of the joint sets with distance from the fault core shows a strong positive power relationship. It is consistent with the result of the exponential relation between the mean size of fallen blocks and distance from the fault core that is obtained independently. We conclude that fracture density (the joint volumetric count, Jv) and cohesion of the rock mass show power curve relations with distance within the damage zone. The fault first affects the characteristics of rock mass structures, and then the characteristics of the rock structures influence the stability of slope leading to rockfall.

Predicting hyperosmolality‐inducible transcription factors using MEME tools

Transcriptional regulation is a major mechanism by which organisms are able to adapt to fluctuating environments. Transcriptional regulation depends on the interplay between cis-regulatory elements and trans-acting factors. Euryhaline tilapia (Oreochromis mossambicus) tolerate a wide range of salinity up to 3x seawater and thus, this species is an appropriate model to examine transcriptional regulation mechanisms in response to salinity stress. Using OmB cells (O. mossambicus brain cell line), targeted proteomics analysis revealed 21 proteins that are encoded by genes, which are transcriptionally up-regulated during salinity stress. Potential regulatory regions (including distant and proximal promoter regions and 5’ UTRs) from those genes were isolated to identify common and distinct binding sites for inducible transcription factors. The STREME tool of the MEME suite was used to identify five ungapped motifs that are enriched in the regulatory sequence of all 21 hyperosmolality-responsive tilapia genes. These binding site motifs were analyzed using the TOMTOM and FIMO motif scanning tools. Among the five motifs, the top-ranked two statistically significant motifs were representing binding sites for Forkhead box protein L1 (FoxL1) and metal response element binding transcription factor 1 (Mtf1). The mapping of FoxL1 and Mtf1 motifs in regulatory regions of the 21 hyperosmolality-induced tilapia genes permits their experimental validated via enhancer trapping. Moreover, our results rationalize FoxL1 and Mtf1 genetic manipulation experiments to study their involvement in the osmotic regulation of gene expression.

COVID-19 Impact on Diagnostic Innovations: Emerging Trends and Implications.

Diagnostic testing remains the backbone of the coronavirus disease 2019 (COVID-19) response, supporting containment efforts to mitigate the outbreak. The severity of this crisis and increasing capacity issues associated with polymerase chain reaction (PCR)-based testing, accelerated the development of diagnostic solutions to meet demands for mass testing. The National Institute for Health Research (NIHR) Innovation Observatory is the national horizon scanning organization in England. Since March, the Innovation Observatory has applied advanced horizon scanning methodologies and tools to compile a diagnostic landscape, based upon data captured for molecular (MDx) and immunological (IDx) based diagnostics (commercialized/in development), for the diagnosis of SARS-CoV-2. In total we identified and tracked 1608 diagnostics, produced by 1045 developers across 54 countries. Our dataset shows the speed and scale in which diagnostics were produced and provides insights into key periods of development and shifts in trends between MDx and IDx solutions as the pandemic progressed. Stakeholders worldwide required timely and detailed intelligence to respond to major challenges, including testing capacity and regulatory issues. Our intelligence assisted UK stakeholders with assessing priorities and mitigation options throughout the pandemic. Here we present the global evolution of diagnostic innovations devised to meet changing needs, their regulation and trends across geographical regions, providing invaluable insights into the complexity of the COVID-19 phenomena.

Interpreting Kelvin probe force microscopy on semiconductors by Fourier analysis

Kelvin probe force microscopy (KPFM) has become a popular surface scanning tool for functional materials and devices, and it has been widely interpreted by the contact potential difference (CPD) theory as the precedent Kelvin probe method. In this article, we developed a Fourier analysis framework for KPFM on the basis that the probe in KPFM is excited by a sinusoidal ac voltage, which is different from the classical Kelvin method. As a result, it was found that the KPFM signal will deviate from the CPD value if the sample charge quantity is not an odd function of the external bias, i.e., the CPD interpretation is invalid on those samples such as doped semiconductors. In order to further estimate the signal deviation from the CPD in the KPFM measurement on semiconductors, the tip–sample system was simulated as a one-dimensional metal–insulator–semiconductor capacitor using Fermi–Dirac statistics. The simulation results showed that the KPFM signals on doped semiconductors behave like those on an intrinsic one when the ac voltage is large, and therefore, the KPFM signal contrast on a pn junction could be flattened even if the sample surface has a clear CPD contrast without any Fermi level pinning due to surface states. Finally, possible ways for tuning KPFM operation parameters to suppress the signal deviation effect were also discussed.

Vulnerability Scanning of University Computer Network Using Zenmap

University computer networks have become vast and deal with a lot of critical and sensitive data. This demands the university network to be highly secure. To attain network security, timely assessment of network vulnerabilities has become highly indispensable. The vulnerabilities need to be discovered and removed at the earliest as these can be exploited by attackers having malicious intent. To identify network vulnerabilities, various vulnerability scanning tools are available. The present paper deals with an open source tool ZENMAP which is completely free to use. ZENMAP is the GUI (Graphical User Interface) of Nmap. ZENMAP runs Nmap in the background. Nmap (Network Mapper) is a powerful tool to gather information about any network and its individual devices. This paper describes the implementation of ZENMAP on a few hosts of Bundelkhand University computer network to gather necessary information about the hosts. After knowing the loopholes in a host, measures can be taken to remove the loopholes and enhance network robustness and security.

Impact of security standards and policies on the credibility of e-government

Most of the cyber attackers intended to steal user’s information that possibly sold on the dark web; they damage the image of brands and exploit the e-commerce websites.Therefore, organizations like ISO and NIST developed standard operating procedures for the safety and security of the information systems to avoid the data breach. This research deals with the impact of security standards and policies on the performance and credibility of e-government. The method selected for the qualitative study is meta-analysis. The quantitative data have been collected using OWSZAP (an open-source scanning tool). Vulnerabilities in e-government, mainly in e-business (e com application), are analyzed using selected tool OWASP ZAP. Qualitative results show the factors percentage that could affect the adoption of e-government and potential barriers. All these factors play a role in understanding the models used in analyzing the vulnerability of a network—an emphasis on the need for continuous public education on cyber safety. The main factors are impacting and leading the need for implementing the information security laws and standards that ultimately impacts on the government.

Effective Placement of Video Surveillance System Using 3D Scanning Technology for Traffic Safety

Video surveillance system is a system that has a very important place in the framework of ensuring the required level of safety on the road infrastructure and plays an important role in the management of road networks. At present, video surveillance systems cover relatively large parts of road infrastructure such as motorways, tunnels, bridges, trunk roads, city centers, car parks etc. The aim is to obtain a large amount of data, from which it is possible in case of need to extract specific information, e.g. video recording about traffic situations and traffic composition and useful information about vehicles. It is also possible to work out a very accurate reconstruction of the accidental events by using video recording and higher engineering tools. For this reason, it is important to pay attention to the application of innovative methods in the effective design and planning of location of the camera system and its individual elements. In this paper we focused on the presentation of a method based on the fusion of point clouds obtained by the technology of 3D laser scanning and PC-Crash software tool for the needs of security management. The main aim of this paper is to verify the usability of 3D scanning technology for security practice. Especially the advantages and benefits that this method brings are highlighted.