Software Upgrades Research Articles

The Application of Digital Construction Technology in the Process of Smart City Construction

Digital construction technology is essential to achieving high-quality construction in smart cities. This article introduces the application of digital construction technology in smart city construction from the background of smart cities, such as 3D modeling technology, digital twin technology, and artificial intelligence technology. This article conducts qualitative research through literature analysis, exploring the application process, significance, and value of digital construction technology in the process of smart city construction, then discussing its current situation and shortcomings and proposing suggestions. Digital construction technology has been extensively utilized in various fields such as intelligent manufacturing and smart cities and has been introduced into the construction industry. However, model accuracy, data effectiveness, real-time interaction, and comprehensiveness need to be improved, which cannot fulfill the requirements of deep-level applications. In the future, cities will further promote the upgrading of infrastructure and software for digital construction technology, as well as the integration and innovation of AI technology and digital construction technology. Smart cities are anticipated to reach an advanced level of city intelligence and achieve sustainable, efficient, and people-oriented high-quality city development.

Repeatability of 3D MR fingerprinting during scanner software upgrades.

This study aims to quantify the repeatability of a 3D Magnetic Resonance Fingerprinting (MRF) research protocol in the context of a scanner software upgrade. All of MRI assumes consistent hardware performance and raw data pre-processing on the acquisition side. Software upgrades can affect hardware specifications and reconstruction chain parameters. Understanding how vendor-provided software upgrades vary MRF-derived T1 and T2 values is crucial for its application in different settings. Eight healthy volunteers were imaged with an in-house developed 3D MRF pulse sequence using a 3T scanner before and after a software upgrade (VA31A to VA50A, MAGNETOM Vida, Siemens Healthineers). Online MRF reconstruction using Singular Value Decomposition (SVD) timeseries compression and B1+ correction was performed. The study involved test-retest repeatability assessment and a comparison of pre- and post-upgrade data based on automatically extracted T1 and T2 values from MNI-152 Harvard-Oxford Subcortical Structural Atlas regions. Significant mismatches were found directly after the upgrade. However, after an information exchange with the vendor, the 3D-MRF sequence showed consistent repeatability in both intra-version test-retest scenarios and cross-version comparisons: 1.16 ± 3.18% variability in T1 and 0.54 ± 4.84% in T2 for intra-version tests, and 0.83 ± 3.68% (T1) and 0.05 ± 5.81% (T2) variability for cross-version comparisons. The study shows the reliable performance of 3D MRF protocols across software upgrades is possible, but it also highlights the importance of detailed evaluation and vendor collaboration in ensuring consistency. These findings support the application of MRF in longitudinal studies and emphasize the need for systematic assessments following hardware or software modifications.

Contrast-enhanced mammography improves patient access to functional breast imaging.

Imaging research pathways focus increasingly on the development of individualised approaches to breast cancer detection, diagnosis and management. Detection of breast cancer with X-ray mammography may fail in some cancer subtypes with limited changes in morphology/tissue density and in women with dense breasts. International organisations offer recommendations for contrast-enhanced breast imaging, as it provides superior sensitivity for screening, local staging and assessment of neoadjuvant treatment response, when compared with standard X-ray mammography (including tomosynthesis) and breast ultrasound. Arguably, the evidence base is stronger for contrast-enhanced MRI (CE-MRI). Unfortunately, patient access to breast MRI in rural and remote areas is limited by practical limitations and equipment licensing restrictions. Moreover, breast MRI is an expensive test, likely to be out of reach for many women. Contrast-enhanced mammography (CEM) offers an attractive alternative to improve patient access to functional breast imaging. It is a new type of digital, dual energy X-ray mammography that can be performed on most modern units, following a relatively inexpensive hard- and software upgrade. In this paper, we review the rapidly accumulating evidence that CEM can provide similar diagnostic accuracy to CE-MRI, though at a significantly lower cost and offering greater comfort to the patient. The adoption of CEM can help meet the anticipated increased demand for CE-MRI.

The provenance of Apple Health data: A timeline of update history

Fitness tracking smart watches are becoming more prevalent in investigations and the need to understand and document their forensic potential and limitations is important for practitioners and researchers. Such fitness devices have undergone several hardware and software upgrades, changing the way they operate and evolving as more sophisticated pieces of technology. One example is the Apple Watch, working in conjunction with the Apple iPhone, to measure and record a vast amount of health information in the Apple Health database, healthdb_secure.sqlite. Over time, an end user will update their devices, but their health data, uniquely, carries over from one device to the next. In this paper, we investigate and analyse the hardware and software provenance of a real 5+ year Apple Health dataset to determine changes, patterns and anomalies over time. This provenance investigation provides insights in the form of (1) a timeline, representing the dataset's history of device and firmware updates that can be used in the context of investigation validation, (2) anomaly detection and, (3) insights into cyber hygiene. Analysis of the non-health data recorded in the health database arguably provides just as much insightful information as the health data itself.

Updated reference values for BMD and lean mass measured by DXA in Thai children.

This study established normative references for total body less head (TBLH) BMD, lumbar spine (L1-L4) BMD, and both total and appendicular lean mass (LM) in Thai children and adolescents (aged 5-18years) using DXA. This work expands upon 2014 normative data for Thai children, which included L2-L4 BMD, total body BMD (head included), and total LM. We reanalyzed total body and lumbar spine DXA scans (Lunar Prodigy Pro, GE Healthcare; enCORE version 7.53) from 174 boys and 193 girls, using upgraded software (enCORE version 17SP2) for TBLH BMD, L1-L4 BMD, and LM analysis. The "enhanced" mode was applied for TBLH BMD and LM. Adjustments for total and appendicular LM were made relative to squared height (m2) to account for body size variability. Normative data stratified by sex and Tanner stage were generated for TBLH BMD, L1-L4 BMD, and LM indices. Weight and Tanner stage significantly determined BMD and LM. Adolescent girls exhibited higher LSBMD values due to earlier pubertal onset. Boys showed higher LM indices with more rapid gains during growth spurts. This study provides updated normative reference values for BMD (TBLH and L1-L4) and LM (total and appendicular) in Thai children and adolescents, measured via DXA. These references will enhance the assessment of low bone mass and LM deficits in Thai pediatric populations, particularly in those with chronic illnesses.

Effect of RapidShockTM Implementation on Perishock Pause in Out-of-Hospital Cardiac Arrest

Objectives Shorter pauses in cardiopulmonary resuscitation (CPR) are associated with better health outcomes after out-of-hospital cardiac arrest (OHCA). Our primary objective was to examine the effect of a RapidShockTM defibrillator software upgrade compared with standard defibrillator software on the length of perishock pause during care for OHCA among adults. Secondary objectives were to assess the effects of RapidShockTM on other CPR pauses. Methods We conducted a retrospective cohort study between September 1, 2015 and September 30, 2020. “Standard” cardiac defibrillator software in manual interpretation mode was used for CPR delivered on or before November 30, 2018, while “RapidShockTM” software (ZOLL® Medical Corporation) was used after this date. For each study group, we calculated the perishock, perianalysis, and total CPR pause; each CPR cycle was considered an independent event. We then calculated the median and interquartile range (IQR) for observed pauses with the “Standard” and “RapidShockTM” software. Percent change in median perishock pause (shockable rhythms), perianalysis pause (non-shockable rhythms), and total CPR pause were compared between CPR administered with each software using the Mann–Whitney test. Results There were 733 and 782 distinct CPR cycles administered using “Standard” and “RapidShockTM” software, respectively. A 31.8% reduction in median perishock pause was observed with “RapidShockTM” software compared with the “Standard” software (22.0 s (IQR 18.0 − 27.0 s) vs. 15.0 s (IQR 13.0 − 19.0 s); p < 0.01). The decrease in median perishock pause was driven by a reduction in the preshock phase (18 s vs. 10 s; 44.4% decrease in median pause; p < 0.01). No differences were observed in median perianalysis pause between the two groups. When combining shockable and non-shockable rhythms, we observed a reduction of 23.5% in median CPR pause (17.0 s (IQR 11.0 − 24.0 s) vs. 13s (IQR 10.0 − 17.0 s); p < 0.01). Conclusions Overall, we observed that the use of “RapidShockTM” defibrillator software was associated with shorter CPR pauses compared with the “Standard” software. Additional studies are required to examine whether further reductions in CPR pauses may be achieved and to investigate associations between shorter CPR pauses and health outcomes.

Accuracy and longitudinal consistency of PET/MR attenuation correction in amyloid PET imaging amid software and hardware upgrades.

Integrated PET/MR allows the simultaneous acquisition of PET biomarkers and structural and functional MRI to study Alzheimer disease (AD). Attenuation correction (AC), crucial for PET quantification, can be performed using a deep learning approach, DL-Dixon, based on standard Dixon images. Longitudinal amyloid PET imaging, which provides important information about disease progression or treatment responses in AD, is usually acquired over several years. Hardware and software upgrades often occur during a multiple-year study period, resulting in data variability. This study aims to harmonize PET/MR DL-Dixon AC amid software and head coil updates and evaluate its accuracy and longitudinal consistency. Tri-modality PET/MR and CT images were obtained from 329 participants, with a subset of 38 undergoing tri-modality scans twice within approximately three years. Transfer learning was employed to fine-tune DL-Dixon models on images from two scanner software versions (VB20P and VE11P) and two head coils (16-channel and 32-channel coils). The accuracy and longitudinal consistency of the DL-Dixon AC were evaluated. Power analyses were performed to estimate the sample size needed to detect various levels of longitudinal changes in the PET standardized uptake value ratio (SUVR). The DL-Dixon method demonstrated high accuracy across all data, irrespective of scanner software versions and head coils. More than 95.6% of brain voxels showed less than 10% PET relative absolute error in all participants. The median [interquartile range] PET mean relative absolute error was 1.10% [0.93%, 1.26%], 1.24% [1.03%, 1.54%], 0.99% [0.86%, 1.13%] in the cortical summary region, and 1.04% [0.83%, 1.36%], 1.08% [0.84%, 1.34%], 1.05% [0.72%, 1.32%] in cerebellum using the DL-Dixon models for the VB20P-16-channel-coil, VE11P-16-channel-coil and VE11P-32-channel-coil data, respectively. The within-subject coefficient of variation and intra-class correlation coefficient of PET SUVR in the cortical regions were comparable between the DL-Dixon and CT AC. Power analysis indicated that similar numbers of participants would be needed to detect the same level of PET changes using DL-Dixon and CT AC. DL-Dixon exhibited excellent accuracy and longitudinal consistency across the two software versions and head coils, demonstrating its robustness for longitudinal PET/MR neuroimaging studies in AD. AC = attenuation correction; AD = Alzheimer disease; HU = Hounsfield unit; ICC = intraclass correlation coefficient; MAE = mean absolute error; MRAE = mean relative absolute error; pCT = pseudo-CT; PiB = Pittsburgh Compound B; SD = standard deviation; SUVR = standardized uptake value ratio; wCV = within-subject coefficient of variation.

The single port robotic surgical "toolbox": a primer for beginners.

The aim of this study is to provide a comprehensive overview of the da Vinci Single Port robotic platform, including instruments and tools that can aid in implementing the use of this novel platform. Footage recorded during various Single port robotic urologic procedures and dry labs performed at two US institutions was used as video material. A step-by-step guide illustrating key points on OR set-up, platform, instruments, trocar configurations, intraoperative suctioning, bedside assistance were discussed and highlighted. The Single port surgeon console resembles the Xi console but includes upgraded software. The 6-mm biarticulated instruments incorporate an elbow and a wrist flexible joint. These instruments are deployed through the Access port. Access port kit includes the Access port, and a 25-mm multichannel trocar accommodating an 8-mm flexible scope, and three 6-mm robotic instruments. The 0° endoscope has two sets of articulation: a fixed one, and a distal one, allowing for three movements, selected with a hand command, the "Camera Adjust", the "Camera Control" and the "Relocation." The "Cobra mode," is an extra setting that allows the camera to wing out and move laterally relative to the working instruments. Suction is preferably performed with the Remotely Operated Suction Irrigation system. Herein we provide a detailed guide to the main technical nuances of the Single port platform and a practical overview of the instrumentation that is used during Single port robotic procedures. Knowledge of the toolbox that is used during Single port robotic surgery is key for those approaching for the first time this novel technology.

Profit Comparison of Computer System with Hardware Redundancy Subject to Different Repair Activities

In this research paper, main concentrate of the authors on the profit comparison of computer system with hardware redundancy by introducing the concept of priority to software up-gradation, hardware preventive maintenance (PM) and hardware maximum repair time (MRT). The system fails independently from normal mode. All the repair activities such as hardware repair, software up-gradation, hardware preventive maintenance before failure and hardware replacement after maximum repair time are carried out by a single server immediately on need basis. All random variables are statistically independent. The negative exponential distribution is taken for the failure time of the component while the distributions of repair time, up-gradation time, preventive maintenance and replacement time are assumed arbitrary with different probability density functions. Semi-Markov process and regenerative point technique are used. The behaviour of profits of the system models have been examined for different parameters and costs.

Quality Assurance of Point and 2D Shear Wave Elastography through the Establishment of Baseline Data Using Phantoms.

Ultrasound elastography has been available on most modern systems; however, the implementation of quality processes tends to be ad hoc. It is essential for a medical physicist to benchmark elastography measurements on each system and track them over time, especially after major software upgrades or repairs. This study aims to establish baseline data using phantoms and monitor them for quality assurance in elastography. In this paper, we utilized two phantoms: a set of cylinders, each with a composite material with varying Young's moduli, and an anthropomorphic abdominal phantom containing a liver modeled to represent early-stage fibrosis. These phantoms were imaged using three ultrasound manufacturers' elastography functions with either point or 2D elastography. The abdominal phantom was also imaged using magnetic resonance elastography (MRE) as it is recognized as the non-invasive gold standard for staging liver fibrosis. The scaling factor was determined based on the data acquired using MR and US elastography from the same vendor. The ultrasound elastography measurements showed inconsistency between different manufacturers, but within the same manufacturer, the measurements showed high repeatability. In conclusion, we have established baseline data for quality assurance procedures and specified the criteria for the acceptable range in liver fibrosis phantoms during routine testing.

Major colorectal surgery with Hugo™ RAS: initial experience of a German center and a review of the literature

The recently introduced Hugo RAS robotic platform has mostly been used for well standardized urologic and gynaecologic procedures. Experience with this new system in general surgery and especially in major colorectal surgery is very limited. This is a retrospective series of the first 25 consecutive non-selected colorectal surgeries performed at a single German center. The lessons learned from our initial experience are presented along with a systematic review of the currently available literature on this topic. Ten sigmoid and seven rectal resections, four right and one left hemicolectomies, two Hartmann’s reversals and an abdominoperineal resection were performed in 14 women and 11 men at the median age of 66 years for 12 benign findings and 13 malignancies. All procedures were performed using four robotic ports and a single 12 mm assistant port. Median docking, console and total operative times were 12, 170 and 270 min. Median blood loss was < 100 ml, and median stay was 8 days. The literature review identified five case series with a total of 23 colorectal procedures: 9 right and 1 left hemicolectomies, 5 ileocaecal, and 4 rectal and 4 sigmoid resections. Results corresponded to ours despite variations in setup used by different authors. A wide spectrum of major colorectal surgery can be safely and effectively performed with the Hugo RAS, even in a cohort of non-selected patients. Ongoing software and hardware upgrade, introduction of robotic energy devices and increasing surgical experience are expected to facilitate procedures and reduce duration of surgery.

Quality assurance of an established online adaptive radiotherapy program: patch and software upgrade.

The ability to dynamically adjust target contours, derived Boolean structures, and ultimately, the optimized fluence is the end goal of online adaptive radiotherapy (ART). The purpose of this work is to describe the necessary tests to perform after a software patch installation and/or upgrade for an established online ART program. A patch upgrade on a low-field MR Linac system was evaluated for post-software upgrade quality assurance (QA) with current infrastructure of ART workflow on (1) the treatment planning system (TPS) during the initial planning stage and (2) the treatment delivery system (TDS), which is a TPS integrated into the delivery console for online ART planning. Online ART QA procedures recommended for post-software upgrade include: (1) user interface (UI) configuration; (2) TPS beam model consistency; (3) segmentation consistency; (4) dose calculation consistency; (5) optimizer robustness consistency; (6) CT density table consistency; and (7) end-to-end absolute ART dose and predicted dose measured including interruption testing. Differences of calculated doses were evaluated through DVH and/or 3D gamma comparisons. The measured dose was assessed using an MR-compatible A26 ionization chamber in a motion phantom. Segmentation differences were assessed through absolute volume and visual inspection. (1) No UI configuration discrepancies were observed. (2) Dose differences on TPS pre-/post-software upgrade were within 1% for DVH metrics. (3) Differences in segmentation when observed were small in general, with the largest change noted for small-volume regions of interest (ROIs) due to partial volume impact. (4) Agreement between TPS and TDS calculated doses was 99.9% using a 2%/2-mm gamma criteria. (5) Comparison between TPS and online ART plans for a given patient plan showed agreement within 2% for targets and 0.6 cc for organs at risk. (6) Relative electron densities demonstrated comparable agreement between TPS and TDS. (7) ART absolute and predicted measured end-to-end doses were within 1% of calculated TDS. An online ART QA program for post-software upgrade has been developed and implemented on an MR Linac system. Testing mechanics and their respective baselines may vary across institutions, but all necessary components for a post-software upgrade QA have been outlined and detailed. These outlined tests were demonstrated feasible for a low-field MR Linac system; however, the scope of this work may be applied and adapted more broadly to other online ART platforms.

The Impact of Digital Entrepreneurship on Digital Leadership to Improve the Project Management of Solar Projects

The current study aimed to research the impact of digital entrepreneurship on digital leadership to improve the project management of solar projects, The study relied on the descriptive approach. The study population consisted of all project managers in solar energy companies in Jordan, pproximately 2,000 project managers in solar companies in Jordan. the study sample suggestion based on Laplace's equation is to randomly select 385 project managers from the study population. The results of the study shows that the mean values of the study sample's estimations were high for the independent variable (digital entrepreneurship), the overall mean was (4.08) with a high estimation score, also the mean values of the study sample's estimations were moderate for the dependent variable (digital leadership), and the overall mean was (3.05) with a moderate estimation score, the mean values of the study sample's estimations were moderate for the (project management for solar projects) variable, the overall mean was (3.60). Based on the findings of this study, the following recommends to conduct needs assessments to identify required hardware, software, and network upgrades, allocate sufficient budget for IT infrastructure development, and ensure reliable internet connectivity to support digital solutions.

604: Towards clinical sustainability of deep learning-based sCT models after CBCT image software upgrade

604: Towards clinical sustainability of deep learning-based sCT models after CBCT image software upgrade

Decision Making on a Software Upgrade or Decommission with Data Mining and Machine Learning Techniques in Information Technology Industry

The Organizations have been investing more in Technology and Infrastructure spends like software upgrades, software renewals, software replacements, platform migrations etc., apart from investment in Business, People, and Processes. In this context, it is not an easy task for stakeholders to decide whether to go for a software upgrade or to replace it with another software. There is no unified approach or solution to consolidate data and relationships of Information Technology Assets, Software Upgrades, Software costs, Software defects, Software Performance Metrics, Security issues, IT system versions, service level objectives etc. Due to this, the decision making of software upgrades and software decommissioning is a tedious process and takes more time and effort. There is a need to build a solution that can integrate and validate the information like software assets, software upgrade success and failure likelihoods, cost benefit analysis of Cloud Computing, software metrics for fault prediction, software maintainability prediction results, Digital Transformation readiness and other related factors. There is an opportunity to apply Machine Learning techniques in defining and deriving the success likelihoods on the following data: Systems and data integration, software assets compatibility, operational service level agreement breaches, quality assurance metrics, security issues, number of open defects, number of defect fixes, number of priority incidents, mean time to resolve critical incidents, expected cost increase in software maintenance, potential cost reduction with the software or hardware replacement etc. This Research Proposal outlines the above mentioned to build a recommendation system aka decision tree namely Software Upgrades or Decommissions Life Cycle.

Optimizing nanostructure deposition process for optical applications

AbstractIn many physics and engineering applications requiring exceptional precision, the presence of highly reflective coatings with low thermal noise is of utmost significance. These applications include high‐resolution spectroscopy, optical atomic clocks, and investigations into fundamental physics such as gravitational wave detection. Enhancing sensitivity in these experiments relies on effectively reducing the thermal noise originating from the coatings. While ion beam sputtering (IBS) is typically employed for fabricating such coatings, electron beam evaporation can also be utilized and offers certain advantages over IBS, such as versatility and speed. However, a significant challenge in the fabrication process has been the limitations of the quartz crystal monitor used to measure the thickness of the deposited layers. This paper showcases how, through hardware and software upgrades, it becomes achievable to create high‐density coatings with layers as thin as a few angstroms by using electron beam evaporation (OAC75F coater) with a deposition rate of 1 Å/s and ion‐assisted source with a gas mixture of oxygen and argon, using a pressure of about 4 × 10−4 mbar. Furthermore, these upgrades enable the attainment of high levels of precision and uniformity in the thickness of the coatings.

Evaluating clinical decision support software (CDSS): challenges for robust evidence generation.

Computerized clinical decision support software (CDSS) are digital health technologies that have been traditionally categorized as medical devices. However, the evaluation frameworks for traditional medical devices are not well adapted to assess the value and safety of CDSS. In this study, we identified a range of challenges associated with CDSS evaluation as a medical device and investigated whether and how CDSS are evaluated in Australia. Using a qualitative approach, we interviewed 11 professionals involved in the implementation and evaluation of digital health technologies at national and regional levels. Data were thematically analyzed using both data-driven (inductive) and theory-based (deductive) approaches. Our results suggest that current CDSS evaluations have an overly narrow perspective on the risks and benefits of CDSS due to an inability to capture the impact of the technology on the sociotechnical environment. By adopting a static view of the CDSS, these evaluation frameworks are unable to discern how rapidly evolving technologies and a dynamic clinical environment can impact CDSS performance. After software upgrades, CDSS can transition from providing information to specifying diagnoses and treatments. Therefore, it is not clear how CDSS can be monitored continuously when changes in the software can directly affect patient safety. Our findings emphasize the importance of taking a living health technology assessment approach to the evaluation of digital health technologies that evolve rapidly. There is a role for observational (real-world) evidence to understand the impact of changes to the technology and the sociotechnical environment on CDSS performance.

An OTA Upgrade Differential Compression Algorithm Based on Suffix Array Induced Sorting and BsDiff Methods

As the scale and complexity of software for industrial equipment increases, the risk of defects being introduced into the software also increases. Over-the-air (OTA) technology eliminates software defects by regularly updating and maintaining the software equipment. However, downloading an upgraded file is time-consuming. The differential compression algorithm can rapidly complete OTA software upgrades. To solve the low-efficiency problem of suffix array sorting in the BsDiff algorithm, a fusion algorithm based on the suffix array induced sorting and BsDiff methods was proposed to reduce the time consumption in the OTA upgrade process. The execution of the difference algorithm in the cloud was simulated using bench experiments. Subsequently, the function and performance of the proposed algorithm were experimentally evaluated. The results showed that the optimized algorithm could save more than 35% of the time compared to the original algorithm, which improved the OTA upgrade efficiency to a certain extent.

SGXonerate:Finding (and Partially Fixing) Privacy Flaws in TEE-based Smart Contract Platforms Without Breaking the TEE

TEE-based smart contracts are an emerging blockchain architecture, offering fully programmable privacy with better performance than alternatives like secure multiparty computation. They can also support compatibility with existing smart contract languages, such that existing (plaintext) applications can be readily ported, picking up privacy enhancements automatically. While previous analysis of TEE-based smart contracts have focused on failures of TEE itself, we asked whether other aspects might be understudied. We focused on state consistency, a concern area highlighted by Li et al., as well as new concerns including access pattern leakage and software upgrade mechanisms. We carried out a code review of a cohort of four TEE-based smart contract platforms. These include Secret Network, the first to market with in-use applications, as well as Oasis, Phala, and Obscuro, which have at least released public test networks. The first and most broadly applicable result is that access pattern leakage occurs when handling persistent contract storage. On Secret Network, its fine-grained access pattern is catastrophic for the transaction privacy of SNIP-20 tokens. If ERC-20 tokens were naively ported to Oasis they would be similarly vulnerable; the others in the cohort leak coarse-grained information at approximately the page level (4 kilobytes). Improving and characterizing this will require adopting techniques from ORAMs or encrypted databases. Second, the importance of state consistency has been underappreciated, in part because exploiting such vulnerabilities is thought to be impractical. We show they are fully practical by building a proof-of-concept tool that breaks all advertised privacy properties of SNIP-20 tokens, able to query the balance of individual accounts and the token amount of each transfer. We additionally demonstrate MEV attacks against the Sienna Swap application. As a final consequence of lacking state consistency, the developers have inadvertently introduced a decryption backdoor through their software upgrade process. We have helped the Secret developers mitigate this through a coordinated vulnerability disclosure, after which their state consistency should be roughly on par with the rest.

A New Vision of Wireless Edge Caching Networks (WECNs): Issues, Technologies, and Open Research Trends

The future generation of wireless cellular system is expected to accommodate extensive latency-sensitive, tactus-aware, and data-intensive intelligent applications, thereby posing significant challenges on current network architectures. For meeting the challenges, wireless edge caching has been envisioned as a viable enabler. However, the underlying key issues therein, such as reliability, effectiveness, and the joint design, are significantly undervalued. The reliability issue refers to the data-corruption problem incurred by hardware impairments, software upgrades, and network congestion at edges. The effectiveness issue here expresses the unsatisfactory cache hit efficiency. Whilst the joint design aims to acquire the tradeoff among different metrics. In this article, we are dedicated to filling these research gaps. Therewith, we first brief the hierarchical wireless edge caching network architecture with proactive mechanisms. Then, we elaborate on the research roadways towards these critical issues and examine how fault-tolerant coding and bundle recommendation strategies can potentially enhance the reliability and the effectiveness of edge caching in future intelligent communication era. Moreover, the interplay between forgoing mentioned aspects is illuminated as well. A pair of case studies are exemplified to further demonstrate the validity of our devised versatile solutions. At last, the open research opportunities and future trends are identified.