Error Coverage Research Articles

Refractive error and ocular alignment in school-aged children from low-income areas of São Paulo, Brazil

BackgroundUncorrected refractive errors and amblyopia are reported as the two main causes of childhood visual impairment and blindness worldwide. Our purpose was to evaluate refractive status, ocular alignment and effective refractive error coverage (eREC) of school-aged children from low-income areas of Sao Paulo city, Brazil.MethodsData from the “Ver na Escola” Project were used for the current study. Children enrolled in the selected schools had an ophthalmic exam including eye alignment assessed by cover test, automatized and subjective dynamic and static refraction. The associations of demographic variables with occurrence and magnitude of refractive errors and eREC were investigated by multiple logistic regressions and multilevel mixed effect models.ResultsA total of 17,973 children (51.12% females) with mean ± sd age 8.24 ± 3.54 years old examined from July 2018 to July 2019, were included in the study. Most of the participants (73%) showed orthoposition of the visual axis for both distance and near. Heterophoria was found in about 25% of participants (N = 4,498), with 71.7% of them (N= 3,222) classified as exophoria. Less than 2% (N = 232) showed strabismus, most of them (N = 160) esotropia. Overall, 1,370 (7.70%) of participants had myopia and 577 (3.24%) had hyperopia. Age was found to be significantly associated with increasing static subjective refraction spherical equivalent (Coefficient: -0.18; 95% Confidence Interval (CI): -0.21 to -0.16; p < 0.001). Female sex (Odds Ratio (OR) = 1.13; 95%CI: 1.01–1.27; p = 0.027) and older age (OR = 1.17; 95%CI: 1.16–1.19; p < 0,001) were significantly associated with myopia diagnosis. Older age decreased the odds of hyperopia (OR = 0.95; 95%CI: 0.93–0.98; p < 0.001). The overall effective refractive coverage was 51.76% and was significantly associated with age group, ranging from 32.25% in children aged 3 to 7 years to 61.35% in children aged 8 to 12 years.ConclusionsMost children have shown eye alignment for both distance and near assessments and no refractive error. Myopia was observed in 7.70% of the population and it was associated with older age and female sex. Hyperopia was observed in 3.24% and was associated with younger age. The overall eREC was 51.76%, significantly associated with age.

Synthesis of Self-Checking Circuits for Train Route Traffic Control at Intermediate Stations with Control of Calculations Based on Weight-Based Sum Codes

When synthesizing systems for railway interlocking, it is recommended to use automated models to implement the logic of railway automation and remote control units. Finite-state machines (FSMs) can be implemented on any hardware component. When using relay technology, the functional safety of electrical interlocking is achieved by using uncontrolled (safety) relays with a high coefficient of asymmetry of failures in types 1 → 0 and 0 → 1. When using programmable components, the use of backup and diverse protection methods is required. This paper presents a flexible approach to synthesizing FSMs for railway automation and remote control units that offer both individual and route-based control. Unlike existing solutions, this proposal considers the pre-failure states of railway automation and remote control units during the finite-state machine synthesis stage. This enables the implementation of self-checking and self-diagnostic modules to manage automation units. By increasing the number of states for individual devices and considering the states of interconnected objects, the transition graphs can be expanded. This expansion allows for the synthesis of the transition graph of the control subsystem and other systems. The authors used a field-programmable gate array (FPGA) to implement a finite-state machine. In this case, the proposal is to encode the states of a finite-state machine using weight-based sum codes in the residue class ring based on a given modulus. The best coverage of errors occurring at the outputs of the logic converter in the structure of the FSM can be ensured by selecting the weighting coefficients and the value of the module. This paper presents an example of synthesizing an FPGA-based FSM using state encoding through modular weight-based sum codes. The operation of the synthesized device was modeled. It was found to operate according to the same algorithm as the real devices. When synthesizing self-checking and self-controlled train control devices, it is recommended to consider the solutions proposed in this paper.

Telemedicine integration into the eye health ecosystem in scaling of effective refractive error coverage in Kenya

This study explored the potential of telemedicine integration into the eye health ecosystem with an aim of scaling effective refractive error coverage in Kenya. This exploratory study was conducted telephonically and through online interviews with key opinion leaders, ophthalmologists, optometrists, ophthalmic clinical officers, optical technicians and beneficiaries of the optical technician’s services in rural areas. A telemedicine workflow was developed and validated based on the comments from the key opinion leaders using the Delphi technique. Quantitative and qualitative data were analysed using SPSS and NVivo Software respectively. All of the key opinion leaders agreed that telemedicine is relevant in the eye health ecosystem and recognition of primary vision technicians is critical for effective telemedicine integration. The reasons for the need of telemedicine integration were categorized into; good relationship, organized refractive error service delivery, convenience and availability and cost reduction. The possible factors influencing integration of telemedicine identified were categorized into cost, unwillingness, dominance, perception, lack of technical team, policies and network coverage. The limited human resources in the eye health ecosystem in developing countries cannot effectively deliver refractive error services to the growing population. Hence, integration of telemedicine and establishment of policies recognizing telemedicine are desirable to strengthen task shifting and scale effective refractive error coverage.

Testing Error Handling Code With Software Fault Injection and Error-Coverage-Guided Fuzzing

Real-world programs require error handling code to handle various kinds of possible errors. However, these errors just infrequently occur due to special conditions, so error handling code is difficult to test. Coverage-guided fuzzing and software fault injection (SFI) are two common techniques that can test error handling code, but they still have major limitations. Specifically, existing fuzzing approaches generate program inputs guided by code coverage, but many occasional errors (such as insufficient memory) are unrelated to inputs, and code coverage cannot effectively reflect the execution contexts of these errors; existing SFI approaches often inject single or random faults, without exploring fault space or using program feedback. In this paper, we propose a new fuzzing framework named EH-Fuzz, to effectively test error handling code. EH-Fuzz uses a context-sensitive SFI-based fuzzing approach to explore fault space and perform fault injection, guided by a new metric named <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">error coverage</i> . We evaluate EH-Fuzz on 9 user-level programs and 6 kernel-level modules, and find 45 new real bugs, 31 of which have been confirmed and fixed. We compare EH-Fuzz to existing fuzzing approaches (including AFL, AFL++, Syzkaller, FIZZER and FIFUZZ), and EH-Fuzz finds many real bugs missed by these approaches with higher testing coverage.

Cross-method Analysis of Corotation Radii Data Set for Spiral Galaxies

A corotation radius is a key characteristic of disk galaxies that is essential to determine the angular speed of the spiral structure Ω p , and therefore understand its nature. In the literature, there are plenty of methods to estimate this value, but do these measurements have any consistency? In this work, we collected a data set of corotation radius measurements for 547 galaxies, 300 of which had at least two values. An initial analysis reveals that most objects have rather inconsistent corotation radius positions. Moreover, a significant fraction of galactic disks is distinguished by a large error coverage and almost uniform distribution of measurements. These findings do not have any relation to spiral type, Hubble classification, or presence of a bar. Among other reasons, obtained results could be explained by the transient nature of spirals in a considerable part of galaxies. We have made our collected data sample publicly available, and have demonstrated on one example how it could be useful for future research by investigating a winding time value for a sample of galaxies with possible multiple spiral arm patterns.

Assessing the reliability of tele-refraction for real time consultation with a remote optometrist.

Uncorrected refractive errors pose a significant challenge globally, particularly in remote regions of low-middle income countries where access to optometric care is often limited. Telerefraction, which involves refraction by a trained technician followed by real-time consultation with remote optometrist, is a promising approach for such remote settings. This study aimed to evaluate the accuracy of this model. This prospective study, conducted in New Delhi, compared tele-refraction to in-person examinations. Trained technicians used a simple device, Click-check, to perform objective refraction and a tele-refraction platform to enter the findings of objective refraction. Final prescription was made after consulting a remote optometrist on that platform. Masked face-to-face optometrists served as the gold standard. The study involved refraction in 222 patients and 428 eyes. Tele-refraction demonstrated a strong agreement with in-person optometry, achieving 84.6% in spherical correction and 81% conformity in spherical equivalent. The mean difference of spherical equivalent between the two arms was only 0.11 D. The consultation with a remote optometrist improved conformity of spherical equivalent by 14.8% over objective refraction. 82 percent eyes matched in best corrected visual acuity and 92 percent were within 0.1 logMAR difference. For cylindrical axis, 74% eye were within acceptable 10 degrees of difference. The mismatch amongst the individual trained technicians, in terms of difference between the tele-refraction arm and the face-to face optometrist arm was found to be significant for cylindrical axis and not for spherical power and spherical equivalent. Our study found tele-refraction by a trained technician comparable to refraction done by face-to-face optometrist. Tele-refraction, coupled with remote optometrist guidance can address the optometry resource gap in underserved areas. Thus, this model offers a transformative approach to enhancing the accessibility and quality of eye care services, which can significantly contribute to our efforts in achieving the global targets set by the World Health Organization for effective refractive error coverage. More standardized training for these technicians on ClickCheckTM for detecting the cylindrical axis with better accuracy, can improve this model further.

Perception of optometrists on causes of professional discordance among eye care professionals and its impact on refractive error service delivery in Kenya.

To evaluate the perception of optometrists on causes of professional discordance among eye care professionals and its impact on refractive error service delivery in Kenya. This was a prospective qualitative case study conducted between January and June 2022 among optometrists registered with the Optometrists Association of Kenya. The data was collected through telephonic interviews. Purposive sampling was used to recruit the participants. Descriptive statistics were presented using frequency, percentages and with p values. Thematic analysis was carried out for qualitative data using the NVivo Software, Version 11. It was an iterative process consisting of both deductive and inductive processes. Out of the 100 respondents, 37 (37%) were female. The mean age for the participants was 30.5years with majority being in the age group 30-34years. There was no statistically significant difference between the ages of males and females (p = 0.132) Most participants 82 (82%) had practiced for more than 4years. The participants reported; mistrust among eye care professionals, employment sector, specialty, undermining the potential of other cadres within the eye care ecosystem, confusion and misconception and negative attitude as the perception of optometrists on causes of professional discordance among eye care professionals on refractive error service delivery. All of the optometrists agreed that professional discordance exists among eye care professionals in Kenya which potentially impacts negatively on refractive error service delivery. Professional discordance remains an underrated barrier which negatively impacts on refractive error service delivery. However, to achieve effective refractive error coverage, a strengthened team approach among eye care professionals is desirable in a country with limited human resource such as Kenya.

Rapid survey for assessing effective cataract surgical coverage (eCSC) and effective refractive error coverage (eREC)-Novel indicators of universal eye health.

As per the recent World Health Organization estimates, approximately 2.2 billion people have near and distance vision impairment (VI) globally, and out of this almost 50% is avoidable. The Rapid Assessment of Avoidable Visual Impairment survey was a cross-sectional study conducted in September 2021, using cluster random sampling in 42 clusters with a cluster size of 140, giving a total of 6000 participants. Two teams comprising of trained optometrists and social workers conducted the ocular examination which included unaided, pinhole, and aided visual acuity assessments followed by examination of the anterior segment and lens. Distance visual acuity was measured using simplified tumbling "E" charts of different sizes for VA of 6/12, 6/18, and 6/60. The lens assessment was done in an un-dilated pupil with torch light by the optometrist. Overall, 6520 individuals aged 6 years and above were enumerated, of whom 5440 (83.4%) were examined. The response rate for examination was better among females (93.1%) than males (73.9%), and it decreased from 93.8% in the age group 6-15 years to 77.1% in the 45+ age group. The prevalence of blindness and VI were 0.18% (95% CI: 0.06-0.29) and 4.19% (95%CI: 3.65-4.72), respectively. The major causes of VI in all age groups were uncorrected refractive error (65.4%), cataract (23.7%), cataract surgical complications (2.6%), corneal opacity (0.4%), and other posterior segment diseases (7.5%). The effective cataract surgical coverage (eCSC) was 61.8%, effective refractive error coverage (eREC) for distance vision was 59.8%, and eREC for near vision was 47.0%. The RAAVI methodology is suitable to measure effective coverage in the general population, both for baseline measurement and periodic monitoring. The 2030 targets for the surveyed district are 90% eCSC and 100% eREC. Such exercises need to be conducted in each district of the country to determine the baseline and target values of effective coverage.

Near vision impairment and effective refractive error coverage for near vision in Andhra Pradesh, India – The Akividu Visual Impairment Study (AVIS)

ABSTRACT Clinical relevance Near Vision Impairment (NVI) is common in developing countries. A substantial proportion of NVI can be addressed by providing spectacles. Innovative eye care programmes are needed to address NVI. Population-based epidemiological studies can provide vital data to plan such eye care service delivery models. Background To report the prevalence of NVI and effective Refractive Error Coverage (eREC) for near vision in West Godavari and Krishna districts in Andhra Pradesh, south India. Methods A population-based cross-sectional study was carried out using a Rapid Assessment of Visual Impairment methodology. Presenting and pinhole distance visual acuity were assessed followed by near vision assessment using a N notation chart at a fixed distance of 40 cm. If the presenting near vision was worse than N8, the best corrected near visual acuity was recorded with age appropriate near vision correction. NVI was defined as presenting near vision worse than N8 among those without distance vision impairment (6/18 or better in the better eye). Effective Refractive Error Coverage for near was calculated as the proportion of individuals with an adequate correction to the total participants, including those with inadequate, adequate, and no correction for near vision. Results Data of 2,228 participants aged ≥40 years were analysed. The mean age of these participants was 54.0 ± 10.4 years; 53.8% were women; 44.5% had no formal education. The prevalence of NVI was 27.1% (95% CI: 25.2–29.0%). NVI significantly associated with 70 and above age group (adjusted OR: 1.97; 95% CI: 1.45-3.70). Participants with formal education had lower odds for NVI (adjusted OR: 0.75; 95 % CI: 0.68-0.83). The eREC for near vision was 48.0%. Conclusion NVI affects over a quarter of people aged ≥40 years in the West Godavari and Krishna districts of Andhra Pradesh. However, eREC is under 50% and there is scope for improving this by establishing eye care services to achieve universal eye health for all.

The Rapid Assessment of Avoidable Blindness survey: Review of the methodology and protocol for the seventh version (RAAB7).

The Rapid Assessment of Avoidable Blindness (RAAB) is a population-based cross-sectional survey methodology used to collect data on the prevalence of vision impairment and its causes and eye care service indicators among the population 50 years and older. RAAB has been used for over 20 years with modifications to the protocol over time reflected in changing version numbers; this paper describes the latest version of the methodology-RAAB7. RAAB7 is a collaborative project between the International Centre for Eye Health and Peek Vision with guidance from a steering group of global eye health stakeholders. We have fully digitised RAAB, allowing for fast, accurate and secure data collection. A bespoke Android mobile application automatically synchronises data to a secure Amazon Web Services virtual private cloud when devices are online so users can monitor data collection in real-time. Vision is screened using Peek Vision's digital visual acuity test for mobile devices and uncorrected, corrected and pinhole visual acuity are collected. An optional module on Disability is available. We have rebuilt the RAAB data repository as the end point of RAAB7's digital data workflow, including a front-end website to access the past 20 years of RAAB surveys worldwide. This website ( https://www.raab.world) hosts open access RAAB data to support the advocacy and research efforts of the global eye health community. Active research sub-projects are finalising three new components in 2024-2025: 1) Near vision screening to address data gaps on near vision impairment and effective refractive error coverage; 2) an optional Health Economics module to assess the affordability of eye care services and productivity losses associated with vision impairment; 3) an optional Health Systems data collection module to support RAAB's primary aim to inform eye health service planning by supporting users to integrate eye care facility data with population data.

Effective refractive error coverage and spectacle coverage among school children in Telangana, South India.

Uncorrected refractive error (URE) is one of the leading causes of childhood vision impairment. Increasing effective refractive error coverage (e-REC) is one of the main indicators of WHO's 2030 global eye health targets. The aim of this study is to estimate the e-REC and spectacle coverage among school children in Telangana, South India. School children aged 4-15 years in the study locations underwent vision screening using 6/12 tumbling E optotype by trained community eye health workers in the schools. Those failing the initial vision screening and/or found to be having eye conditions were referred to a nearby referral centre appropriately, where they underwent detailed eye examination. A total of 774,184 children were screened in schools of which 51.49% were boys. The mean age was 9.40 ± 3.27 years. The prevalence of URE was 1.44% (95%CI:1.41-1.46) of which myopia was 1.38% (95%CI: 1.35-1.41). In multivariate analysis, the risk of myopia was higher among older children (Adj.OR: 17.04; 95%CI: 14.64-19.85), those residing in urban areas (Adj.OR:3.05, 95%CI:2.60-3.57), those with disabilities (Adj.OR:2.61, 95%CI:2.00-3.39) and among girls (Adj.OR:1.30, 95%CI:1.25-1.35) (P < 0.001). The overall e-REC was 56.97% and the spectacle coverage was 62.83%. The need for interventions to improve e-REC to achieve 2030 global eye health target is eminent among children in this region. Improving refractive services through school eye health programs could aid in accelerating this process to achieve the target. Myopia being the most common type of RE, the risk factors included increasing age, urban location, and presence of disability.

SWOT analysis of the models used by social enterprises in scaling effective refractive error coverage to achieve the 2030 in SIGHT in Kenya

Uncorrected refractive error has predominantly been delivered through commercial entrepreneurship in Kenya. However, to achieve the 2030 IN SIGHT, integration of other forms of entrepreneurship such as the social entrepreneurship is desirable to supplement the efforts of the dominant commercial entrepreneurship. Therefore, this study intended to undertake a SWOT analysis of the current models used by social enterprises in scaling effective refractive error coverage to achieve the 2030 IN SIGHT in Kenya. A review of the seven national strategic plans for eye health in Kenya was undertaken to get a glimpse on the efforts directed towards uncorrected refractive error in achieving the 2030 IN SIGHT. The review was inclined towards assessing the efforts directed by the strategic plans towards scaling human resource, spectacle provision and refraction points. A SWOT analysis was undertaken based on the financial, impact and the approach report for each model. A key informant interview was conducted with a representative and three to five members of the social enterprise about the model. Thereafter, the modified SWOT analysis based on the review and the interview was presented to the representatives of the social enterprises. Purposive sampling was used to identify seven models used by social enterprises in the delivery of refractive error services in Kenya. Finally, the recommendations were presented to key opinion leaders for an input through a Delphi technique. Out of the seven national strategic plans for eye health reviewed, only the strategic plan 2020–2025 intends to establish optical units within 15 different counties in Kenya. Of the seven models currently utilized by social enterprises, only the Kenya Society for the Blind has integrated the telemedicine concept. On application of mHealth, all of the social enterprises models tend to embrace the approach for screening activities. None of the models has a strengthened referral pathway utilizing telereferral and telemedicine. Out of all the models, only Operation Eyesight Universal, Fred Hollow Foundation and Peek Acuity do not depend on sales of subsidized spectacles for sustainability. Every model has the capacity to propel the delivery of refractive error services depending on its comprehensiveness. However, for the 2030 IN SIGHT to be achieved, models prioritizing human resource through telemedicine integration, service provision across all sectors, awareness creation and enhancing cost efficiency are desirable.

Perceived impacts of social enterprises in scaling effective refractive error coverage in Kenya

PurposeEffective refractive error (RE) coverage in a resource-constrained country such as Kenya could possibly be achievable if the current dominant commercial entrepreneurship is supplemented with alternative avenues such as social entrepreneurship. This study aims to explore the perceived impact of social enterprises (SEs) in scaling effective RE coverage in Kenya.Design/methodology/approachThis was an exploratory study with data collected from representatives of SEs (n = 29), trainees of SEs (n = 112) and beneficiaries of eye care services provided by SEs (n = 674). Participants were recruited purposively with data collected through telephonic calls. Thematic analysis was carried out by categorizing the codes into categories and themes based on the semantic meaning of the codes.FindingsThe perceived impact of SEs from the representative perspective included entrepreneurship and livelihood (n = 3; 10.3%), skills development (n = 20; 69%), technology development (n = 7; 24.1%), access to specialized services (n = 7; 24.1%) and affordability, accessibility and availability of RE services (n = 27; 93.1%). From the perspective of trainees, the themes included economic empowerment (n = 99; 88.4%), improved quality of life (n = 84; 75.0%), sensitizing locals to RE during screening events (n = 112; 100.0%) and enhancing accessibility, availability and affordability (n = 107; 95.5%).Originality/valueThe perceived impact of SEs highlighted in this paper showcases that they are useful for integration into the eye health ecosystem in a resource-constrained country such as Kenya. Integration of SEs into the eye health ecosystem could potentially address the human resource challenge, scale RE service delivery, enhance awareness creation and address the cost barriers to current RE service delivery coverage.

Prevalence of visual impairment, uncorrected refractive errors and effective refractive error coverage in Koshi Province, Nepal - Rapid Assessment of Refractive Errors.

To determine the prevalence of visual impairment (VI), uncorrected refractive errors (URE), and effective refractive error coverage among individuals aged 15-50 years in Koshi Province, Nepal. A population-based cross-sectional study was conducted in Koshi Province in which 4800 participants were selected from 80 clusters. The study teams visited the selected households and conducted eye examinations. This included monocular unaided (and aided) visual acuity assessment using a Snellen chart with tumbling E optotypes at a distance of 6 meters. Near vision was assessed binocularly using the N notation chart at a fixed distance of 40 cm for each individual. Torchlight examination and distance direct ophthalmoscopy was done. VI was defined as presenting visual acuity worse than 6/12 in the better eye. URE was defined as presenting visual acuity worse than 6/12 and improving to 6/12 or better on using a pinhole. Near Vision Impairment was defined as binocular presenting near vision worse than N8 among those age 35 years and older. In total, 4057 were examined (84.5% response rate). The prevalence of VI was 3.52% (95% CI:2.89-4.13; n = 143). The prevalence of URE in the better eye was 1.95% (95% CI:1.54-2.42; n = 79). The Refractive Error Coverage and Effective Refractive Error Coverage were 34.8% and 31.3% respectively. The prevalence of NVI was 34.24% (95% CI: 32.1-36.40; n = 666). The prevalence of VI and URE was low, attributed to the availability and uptake of services in Koshi province in Nepal.

Error Detection Architectures for Hardware/Software Co-Design Approaches of Number-Theoretic Transform

Number theoretic transform (NTT) is an efficient polynomial multiplication technique of lattice-based post-quantum cryptography including Kyber which is standardized as the NIST key encapsulation mechanism (KEM) in 2022. Prominent NTT architectures have recently been implemented on hardware/software coprocessors. In this paper, we introduce new error detection schemes embedded efficiently in the NTT accelerator architecture, detecting both transient and permanent faults. By encoding the operands with two approaches, i.e., negating and swapping, we detect the faults in such constructions after recomputing and decoding. Through simulation, our schemes show high error coverage for stuck-at fault model. Moreover, we implement the schemes on field-programmable gate array (FPGA) and assure that acceptable overhead is achieved for performance and implementation metrics. The low overhead and high efficiency of our schemes make them suitable for various constrained usage models. Additionally, our schemes are also applicable to similar classical and post-quantum sub-blocks to obtain more reliable respective hardware constructions.

Error Detection Schemes Assessed on FPGA for Multipliers in Lattice-Based Key Encapsulation Mechanisms in Post-Quantum Cryptography

Advances in quantum computing have brought the need for developing public-key cryptosystems secure against attacks potentially enabled by quantum computers. In late 2017, the National Institute of Standards and Technology (NIST) launched a project to standardize one or more quantum computer-resistant public-key cryptographic algorithms. Among the main post-quantum algorithm classes, lattice-based cryptography is believed to be quantum-resistant. The standardization efforts including that of the NIST which will be concluded in 2022-2024 also affirm the importance of such algorithms. In this work, we propose error detection schemes for lattice-based key encapsulation mechanisms (KEMs). As our case study, we apply such schemes to the hardware accelerators for three post-quantum cryptographic algorithms that have advanced to the third round of the NIST PQC standardization process, i.e., FrodoKEM, Saber, and NTRU. The merit of the proposed schemes is that they can be applied to other applications and cryptographic algorithms that use multiplications in their hardware accelerators. The schemes proposed in this paper are based on recomputing with shifted, negated, and scaled operands. Moreover, we implement our fault detection schemes on field-programmable gate array (FPGA) family Kintex Ultrascale+ device xcku5p-sfvb784-1LV-i to benchmark the overheads induced and the performance degradation of the proposed approaches when added to the original architectures. The results show acceptable overhead and high error coverage for all three studied NIST PQC finalists.

Adaptive error injection for robustness verification of decision-making systems for autonomous vehicles

Robustness of the decision-making system is essential to safe driving, especially under the environment with inevitable defective information due to the limitations of the perception and positioning modules. The traditional fault-injection approach is widely used in robustness tests, but it mainly focuses on the endogenous fault instead of the exogenous errors of systems. In this paper, a robustness verification method based on error injection is proposed for the decision-making system against exogenous data errors. First, an error model is designed to generate potential data errors for different environment information. Then, an error injection framework with high versatility is proposed to support different decision-making systems and virtual test platforms. In addition, an optimization algorithm called LAMBDA is introduced to adaptively design experiments aiming to realize a quick search of safety-critical errors. Furthermore, an error injection tool is developed to conduct the verification test automatically. The proposed approach is verified on a city autopilot system under typical hazardous scenarios by the error injection tool, and the tolerance boundary of the system can be obtained as well. Compared to random-based and traditional optimization algorithms, the LAMBDA algorithm is able to quickly achieve a higher coverage for safety-critical errors. Although the approach is proposed for the decision-making module, it is can be easily extended to others, such as planning and control.

Rapid Assessment of Avoidable Visual Impairment in Two Coastal Districts of Eastern India for Determining Effective Coverage: A Cross-Sectional Study.

To measure the prevalence and causes of visual impairment (VI) among the 40+ age population in two coastal districts of India and to determine the levels of effective cataract surgical coverage (eCSC) and effective refractive error coverage (eREC) in the study population. A cross-sectional study was done on 4200 people chosen using cluster sampling in two coastal districts of Odisha, an eastern state in India. A team consisting of trained optometrists and social workers conducted the ocular examination which included unaided, pinhole, and aided visual acuity assessments followed by examination of the anterior segment and lens. Overall, 3745 (89.2%) participants were examined from 60 study clusters, 30 in each district. Among those examined, 1677 (44.8%) were men, 2554 (68.2%) were educated and number? (17.8%) used distance spectacles during the survey. The prevalence of VI adjusted for age and gender was 12.77% (95% CI 11.85-13.69%). Multiple logistic regression showed that older age (OR 3.1; 95% CI 2.0-4.7) and urban residence (OR 1.2; 95% CI 1.0-1.6) were associated with VI. Being educated (OR 0.4; 95% CI 0.3-0.6) and using glasses (OR 0.3; 95% CI 0.5-0.2) were found to provide protection; therefore, resulting in lower instances of VI. Cataract (62.7%) and uncorrected refractive errors (27.1%) were the two main causes of VI. The eCSC was 35.1%, the eREC for distance was 40.0%, and the eREC for near was 35.7%. VI remains a challenge in Odisha, as the prevalence is high and the surgical coverage is poor. Nearly 90% of VI is avoidable indicating that targeted interventions are required to address this problem.

A wind speed forecasting model based on multi-objective algorithm and interpretability learning

More accurate and reliable wind speed forecasting results can provide an effective assessment of wind energy resources and improve the efficiency of wind energy utilization. Therefore, this paper is devoted to constructing accurate wind speed forecasting models and quantitatively analyzing the models by using interpretable analysis. Firstly, a multivariate wind speed forecasting model (PMI-CMOGSA-RELM) is proposed based on machine learning methods and a clustering-based multi-objective gravity search algorithm (CMOGSA). Among them, wavelet packet decomposition (WPD) is used for noise reduction, candidate input feature pool and partial mutual information (PMI) are used for feature selection, and CMOGSA is used to optimize the final combined weights. Secondly, a new evaluation metric, Absolute Error Coverage Probability (AECP), is proposed to better evaluate forecasting accuracy. Then, post-hoc attribution analysis methods and visualization tools are used to analyze the forecasting model interpretability to help us better analyze the robustness and reliability of the forecasted results. Finally, this paper validates and evaluates the proposed model with two data sets of different resolutions. The experimental results not only prove the rationality of the AECP evaluation criteria, but also demonstrate that the proposed model has smaller errors, higher estimation accuracy, and is easier to understand.

Reliable Architectures for Finite Field Multipliers Using Cyclic Codes on FPGA Utilized in Classic and Post-Quantum Cryptography

Fault detection is becoming greatly important in protecting cryptographic designs that can suffer from both natural or malicious faults. Finite fields over <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\text {GF}(2^{m})$ </tex-math></inline-formula> are widely used in such designs, since their data are coded in binary form for practical reasons. Among the different finite field arithmetic, multiplication is the bottleneck operation for many cryptosystems due to its complexity. Therefore, in this work, fault detection schemes based on cyclic codes for finite field multipliers using different fields found in traditional and post-quantum cryptography are derived. Moreover, we implement such schemes by embedding them into the original architectures to perform an exhaustive study, benchmark the different overheads obtained, and prove their suitability for deeply constrained embedded systems. These implementations are performed on advanced micro devices (AMD)/Xilinx field-programmable gate array (FPGA) and provide a very high error coverage with acceptable overhead.