Reading Error Rate Research Articles

Designing a Real-Time DataLogger Using the Internet of Things for a Basic Imple Home Kwh Meter Capable of 1300 VA

Researchers want to make a kWh meter monitoring tool with estimated usage costs so that the tools made can help people to minimize costs in electricity usage. The purpose of this research is the creation of an IoT-based kWh meter monitoring tool that has the ability to read current, voltage, frequency, power factor and power usage that flows and shows the use of costs that have been used in real time with the display results on the LCD and also on the user's smartphone. In the reading results of usage costs (Rp) on the tool and PLN there is also a difference of Rp. 12,000, where the reading results on the tool are also lower than the results of the payment slip provided by PLN. The cost reading error rate on the tool is 4.4% with a reading accuracy rate of 95.6%.

The impact of augmented reality glasses on human visual efficiency and digital eye fatigue

Objective: To investigate the differences in reading efficiency and visual fatigue between the use of augmented reality (AR) glasses and laptops. Methods: A prospective self-controlled study was conducted. Healthy students from Capital Medical University who frequently engaged in long-term near work and used laptops and other digital display devices were recruited as subjects at Beijing Tongren Hospital, Capital Medical University between November 1 and November 15, 2023. LogMAR visual acuity, visual functions (accommodation, convergence, and fusion), and visual fatigue scores (Likert visual fatigue scale) of the participants were assessed. The order of using the laptop and AR glasses for each participant was determined by a coin toss. Reading efficiency (reading speed and error rate multiplied by the detection rate of incorrect numbers) with different devices for 10 minutes at the same time on different dates and visual fatigue scores after watching a 20-minute video were measured. Statistical analyses were performed using paired t-tests and Wilcoxon signed-rank tests. Results: A total of 20 eligible subjects were included, comprising 7 males and 13 females, with a mean age of (25.45±2.27) years. There was no significant change in binocular visual acuity before and after using AR glasses and laptops (both P>0.05). The reading speed and reading efficiency of using AR glasses [(34.03±9.25) and (29.19±7.62) digits/min, respectively] were significantly lower than those of using laptops [(39.43±10.36) and (35.67±9.87) digits/min, respectively] (t=4.36, P<0.001), while the difference in error detection rate was not statistically significant (t=1.29, P=0.213). There was no statistically significant difference in visual fatigue scores before watching videos with the two devices (Z=-0.71, P=0.480). However, the visual fatigue score after watching videos with AR glasses [(20.55±5.04) points] was significantly higher than that with laptops [16.50 (13.00, 19.75) points] (Z=-2.85, P=0.004). The visual fatigue scores after watching videos with both devices were significantly higher than before (P<0.05), with a more significant increase observed with AR glasses [(6.05±3.50) points] (Z=-3.41, P<0.001). Conclusion: Compared with using laptops, the reading speed and efficiency were lower, and the visual fatigue was more pronounced with the use of AR glasses at the current technical level. Further optimization and improvement of AR glasses are warranted.

Tumor Response Evaluation Using iRECIST: Feasibility and Reliability of Manual Versus Software-Assisted Assessments.

To compare the feasibility and reliability of manual versus software-assisted assessments of computed tomography scans according to iRECIST in patients undergoing immune-based cancer treatment. Computed tomography scans of 30 tumor patients undergoing cancer treatment were evaluated by four independent radiologists at baseline (BL) and two follow-ups (FU), resulting in a total of 360 tumor assessments (120 each at BL/FU1/FU2). After image interpretation, tumor burden and response status were either calculated manually or semi-automatically as defined by software, respectively. The reading time, calculated sum of longest diameter (SLD), and tumor response (e.g., "iStable Disease") were determined for each assessment. After complete data collection, a consensus reading among the four readers was performed to establish a reference standard for the correct response assignments. The reading times, error rates, and inter-reader agreement on SLDs were statistically compared between the manual versus software-assisted approaches. The reading time was significantly longer for the manual versus software-assisted assessments at both follow-ups (median [interquartile range] FU1: 4.00 min [2.17 min] vs. 2.50 min [1.00 min]; FU2: 3.75 min [1.88 min] vs. 2.00 min [1.50 min]; both p < 0.001). Regarding reliability, 2.5% of all the response assessments were incorrect at FU1 (3.3% manual; 0% software-assisted), which increased to 5.8% at FU2 (10% manual; 1.7% software-assisted), demonstrating higher error rates for manual readings. Quantitative SLD inter-reader agreement was inferior for the manual compared to the software-assisted assessments at both FUs (FU1: ICC = 0.91 vs. 0.93; FU2: ICC = 0.75 vs. 0.86). Software-assisted assessments may facilitate the iRECIST response evaluation of cancer patients in clinical routine by decreasing the reading time and reducing response misclassifications.

Heart Rate and Body Temperature Tracking Application Based on Fuzzy Logic

Temperature and heart rate are indicators of health. It is necessary to monitor heart rate and body temperature to prevent the spread of a virus or disease. In most cases, heart rate and body temperature are monitored independently, and the patient cannot view a record of previous examinations. This study uses fuzzy logic to develop an application for monitoring heart rate and body temperature. It can monitor heart rate and body temperature in real-time, store a history of previous examinations, and use fuzzy logic to diagnose body conditions based on heart rate and body temperature data. Based on test results, the sensor reading error rate for heart rate is minimal at 0.68 and for body temperature at 0.18. The accuracy of fuzzy diagnosis of the patient's body condition is one hundred percent. The performance indicator for the application is excellent, the completion rate is 100 percent, and the time-based efficiency is 93%. The results of the user satisfaction test indicate that most users are pleased with the application's usability. The average value for measuring user satisfaction is 80%, with the highest result of the five measurement criteria being 89.6% for the ease-of-use criterion.

RANCANG BANGUN ALAT UJI PERKOLASI TANAH BERBASIS ARDUINO

Water absorption testing through soil percolation test is mostly handled manually. During the testing process, it still requires many people to supervise it, and the reading error rate is still high. Therefore, a measuring instrument that works automatically is needed that can more specifically read the rate of water absorption into the soil accurately. In this final project, the tool is made using Arduino Mega, HC-SR04 ultrasonic sensor, 128x64 LCD, buzzer, NEO6MV2 GPS Module, RTC (Real Time Clock), push button, and Lithium-Ion Battery. The result of this final project is a soil permeability measuring instrument that can accurately measure the rate of water infiltration. Based on the results of design, testing and analysis of the design results, a soil permeability measuring instrument is obtained that can properly measure the rate of water infiltration

IoT Energy Management for Smart Homes’ Water Management System

An Internet of Things (IoT) device that can automatically measure water consumption can help prevent excessive water usage or leaks. However, automating too many residences or condominiums with multiple IoT devices can lead to extra energy consumption and more network congestion. We propose controlling the energy consumption of an IoT water consumption management system by dynamically controlling its duty cycle. By analyzing the energy consumption of the developed prototype and its duty cycle variation, we calculated how much energy could be saved by controlling the antenna and the water flow sensor used in the IoT device. While controlling the antenna offered some energy savings, having some way to cut down on the water flow sensor’s consumption can have a dramatic impact on the overall IoT energy consumption or its battery longevity. Our results showed that we could get up to 69% extra energy savings compared to just putting the antenna in sleep mode. There is an observable trade-off in saving so much energy, as we can also see that water reading error rates go up alongside the extra energy savings.

Mandating Limits on Workload, Duty, and Speed in Radiology.

Research has not yet quantified the effects of workload or duty hours on the accuracy of radiologists. With the exception of a brief reduction in imaging studies during the 2020 peak of the COVID-19 pandemic, the workload of radiologists in the United States has seen relentless growth in recent years. One concern is that this increased demand could lead to reduced accuracy. Behavioral studies in species ranging from insects to humans have shown that decision speed is inversely correlated to decision accuracy. A potential solution is to institute workload and duty limits to optimize radiologist performance and patient safety. The concern, however, is that any prescribed mandated limits would be arbitrary and thus no more advantageous than allowing radiologists to self-regulate. Specific studies have been proposed to determine whether limits reduce error, and if so, to provide a principled basis for such limits. This could determine the precise susceptibility of individual radiologists to medical error as a function of speed during image viewing, the maximum number of studies that could be read during a work shift, and the appropriate shift duration as a function of time of day. Before principled recommendations for restrictions are made, however, it is important to understand how radiologists function both optimally and at the margins of adequate performance. This study examines the relationship between interpretation speed and error rates in radiology, the potential influence of artificial intelligence on reading speed and error rates, and the possible outcomes of imposed limits on both caseload and duty hours. This review concludes that the scientific evidence needed to make meaningful rules is lacking and notes that regulating workloads without scientific principles can be more harmful than not regulating at all.

1S1R Optimization for High‐Frequency Inference on Binarized Spiking Neural Networks

AbstractSingle memristor crossbar arrays are a very promising approach to reduce the power consumption of deep learning accelerators. In parallel, the emerging bio‐inspired spiking neural networks (SNNs) offer very low power consumption with satisfactory performance on complex artificial intelligence tasks. In such neural networks, synaptic weights can be stored in nonvolatile memories. The latter are massively read during inference, which can lead to device failure. In this context, a 1S1R (1 Selector 1 Resistor) device composed of a HfO2‐based OxRAM memory stacked on a Ge‐Se‐Sb‐N‐based ovonic threshold switch (OTS) back‐end selector is proposed for high‐density binarized SNNs (BSNNs) synaptic weight hardware implementation. An extensive experimental statistical study combined with a novel Monte Carlo model allows to deeply analyze the OTS switching dynamics based on field‐driven stochastic nucleation of conductive dots in the layer. This allows quantifying the occurrence frequency of OTS erratic switching as a function of the applied voltages and 1S1R reading frequency. The associated 1S1R reading error rate is calculated. Focusing on the standard machine learning MNIST image recognition task, BSNN figures of merit (footprint, electrical consumption during inference, frequency of inference, accuracy, and tolerance to errors) are optimized by engineering the network topology, training procedure, and activations sparsity.

A novel dual-reference sensing scheme for computing in memory within STT-MRAM

With the rapid development of the Internet of Things and artificial intelligence, it is more and more difficult for the existing hardware structure to process billions of data. In conventional Von-Neumann architectures, the well-known “memory wall” becomes a critical barrier to limit bandwidth. In order to solve this problem, computing in memory (CIM) within STT-MRAM (Spin Transfer Torque Magnetic Random Access Memory) emerges gradually. However, CIM requires multiple memory units in parallel, resulting in higher reading error rate. In this paper, a novel dual-reference sensing scheme (NDRS) is proposed for hybrid CMOS/MTJ logic circuits. By exploiting novel precharge scheme and adding inverter to amplify signals, NDRS scheme can improve CIM reliability significantly. Under the 40 nm technology node and a physics-based MTJ compact model, 1000 times Monte Carlo simulation shows that AND logic operation error rate is ∼7.42% and OR logic operation error rate is ∼2.67%.

Comparison of visual aids for improving reading performance in children with dyslexia

Background: Dyslexia is a key learning disorder associated with reading difficulties in children. The purpose of this study was to determine the effectiveness of simple visual devices in improving the reading performance of children with dyslexia.&#x0D; Methods: A case?control study was conducted by selecting 80 school children with dyslexia, aged 8?11 years, from the Special Dyslexic School Program of the Ministry of Education (MOE) Malaysia. Subjects were randomly assigned to four groups: the typoscope, magnifier, visual tracking magnifier (VTM), and control groups. Reading performance was measured based on reading speed and reading error rate. The time taken to complete reading of text was measured, and reading errors were recorded. The reading performance of each group was assessed at baseline, week 2, week 6, and week 12.&#x0D; Results: Reading performance was significantly different (P &lt; 0.05) for both Level 1 and Level 2, before and after intervention only in children with dyslexia using magnifiers and VTM. Reading performance for children with dyslexia using a magnifier or a VTM increased significantly (P &lt; 0.05) from baseline to week 2, week 6, and week 12. The improvement in reading speed was 2.5 times faster for children in the VTM group than in the other groups.&#x0D; Conclusions: Simple visual aids, such as a VTM and magnifying glass, improved reading performance in children with dyslexia. The VTM intervention yielded the greatest improvement after 12 weeks of intervention. Hence, it is suggested that a VTM be used as part of a rehabilitation program for all children with dyslexia in Malaysia, particularly those in dyslexia programs in schools under the MOE Malaysia. However, future studies with longer follow-up periods are needed to confirm the sustainability of this improved reading performance after discontinuation of the intervention.

A survey about legible Arabic fonts for young readers

Reading is an interconnected cognitive process including recognition and comprehension. The objective of the reading act could not be achieved unless the text is legible enough to interpret. For that reason, legibility is crucial for the reading mechanism, it will affect reading speed and the recognition of the graphs in the right way. Based on the fact that fonts and the way the text is presented influence children's reading performance and fluency, the current paper investigates different Arabic fonts in order to determine the optimal font for a fluent reading for children with a low rate of errors in both printed and on-screen texts. This study recruits 33 primary Moroccan school students of third grade and investigates the reading fluency and error rates for five Arabic font types. This paper recommends, as a result, the use of Simplified Arabic font for reducing reading errors due to graphs presentation for either printed or on-screen texts.

Usability evaluation of monocular optical head-mounted displays on reading tasks

This study explores the factors affecting reading time, error rate, visual fatigue, and mental workload of subjects using a monocular optical head-mounted display (OHMD). Forty healthy participants were involved in this study using four factors: gender, reading conditions (walking and sitting), font sizes (12-, 16-, 20-, 24-, 28-, and 32-point), and contrast ratios (3.0:1, 7.5:1, 12.0:1, 16.5:1, and 21.0:1). The reading time, error rate, critical fusion frequency, the National Aeronautics and Space Administration’s raw task load index, and visual fatigue scale were the dependent measures. Gender showed no significant effect on reading time or error rate. Reading conditions, font sizes, and contrast ratios had significant effects on reading time. Large font sizes produced the fastest reading times for both walking and sitting conditions. The walking condition produced significantly more visual fatigue and mental workload than the sitting condition. Font size and contrast ratio had significant effects on reading time and error rate. The fastest reading time was found at the 16.5:1 contrast ratio for both walking and sitting conditions. Combined with the 28-point font size, we found the fastest reading time and lowest error rate performance combination. Considering reading conditions, contrast ratios, and font size combinations, the 16.5:1 contrast ratio with 28-point font size in the sitting condition and the 16.5:1 contrast ratio with 32-point font size in the walking condition showed the best reading times and error rates. The results from this study can provide very useful reference information for OHMDs and related product interface designs.

The Analysis of Reading Skills and Visual Perception Levels of First Grade Turkish Students

In this study, primary school first grade students' reading skills and visual perception levels were investigated. Sample of the study, which was designed with relational scanning model, consisted of 168 first grade students studying at three public primary schools in Kozlu, Zonguldak, in 2013-2014 education year. Students' reading level, reading comprehension, reading errors were determined by The Informal Reading Inventory, and their visual perception levels were determined with Developmental Test of Visual Perception-2. Data was coded in SPSS version 22.0. As a result of the study, the majority of students was identified at the level of anxiety while thirty four students was identified at the instructional level, it was also seen that there was no student at an independent level. Instructional level students had higher reading speeds and reading comprehension than anxiety level students significantly. Anxiety level students had higher reading error rates than instructional level students significantly. It was seen that instructional level students having higher reading levels had significantly higher general visual, motor-independent, and visual-motor perception than anxiety level students. While anxiety level students were above average , instructional level students are superior all visual perception abilities.There is a positive meaningful relationship between the all levels of visual perception, and reading speed, reading comprehension. As first grade students’ general visual perception, motor-independent visual perception, and visual-motor perception scores increased, reading speed and reading comprehension increased, reading error scores decreased.

The value of Tablets as reading aids for individuals with central visual field loss: an evaluation of eccentric reading with static and scrolling text.

PurposeTechnological devices such as smartphones and tablets are widely available and increasingly used as visual aids. This study evaluated the use of a novel app for tablets (MD_evReader) developed as a reading aid for individuals with a central field loss resulting from macular degeneration. The MD_evReader app scrolls text as single lines (similar to a news ticker) and is intended to enhance reading performance using the eccentric viewing technique by both reducing the demands on the eye movement system and minimising the deleterious effects of perceptual crowding. Reading performance with scrolling text was compared with reading static sentences, also presented on a tablet computer.MethodsTwenty‐six people with low vision (diagnosis of macular degeneration) read static or dynamic text (scrolled from right to left), presented as a single line at high contrast on a tablet device. Reading error rates and comprehension were recorded for both text formats, and the participant's subjective experience of reading with the app was assessed using a simple questionnaire.ResultsThe average reading speed for static and dynamic text was not significantly different and equal to or greater than 85 words per minute. The comprehension scores for both text formats were also similar, equal to approximately 95% correct. However, reading error rates were significantly (p = 0.02) less for dynamic text than for static text. The participants’ questionnaire ratings of their reading experience with the MD_evReader were highly positive and indicated a preference for reading with this app compared with their usual method.ConclusionsOur data show that reading performance with scrolling text is at least equal to that achieved with static text and in some respects (reading error rate) is better than static text. Bespoke apps informed by an understanding of the underlying sensorimotor processes involved in a cognitive task such as reading have excellent potential as aids for people with visual impairments.

The Danish version of the Radner Reading Chart: design and empirical testing of sentence optotypes in subjects of varying educational background.

To develop 28 short texts to be used as sentence optotypes in a Danish version of the Radner Reading Chart for the measurement of reading acuity and speed. Forty-six short texts of comparable lexical and grammatical difficulty were constructed. The short texts were tested together with two longer reference texts in 100 persons with visual acuity 6/6, of which 50 were university students (age: 24.7 ± 3.1 years, 36% males) and 50 were blue-collar workers (37.2 ± 13.4 years, 54% males). Study parameters were mean reading speed and error rate per participant, and mean reading time, variance and number of errors per short text. The students read the short texts faster than the blue-collar workers (184 ± 21.4 words per minute (wpm) versus 163 ± 26.3 wpm, p < 0.0001). There was a high correlation between the reference texts and the short texts [Pearson's correlation coefficient = 0.89 (95% CI 0.83-0.92)]. The mean reading time for each of the short texts ranged from 4.4 s to 5.8 s with a mean of 4.96 ± 0.35 s, and the median number of errors was eight. Twenty-eight short texts were selected for sentence optotypes with mean reading times between 4.6 s and 5.2 s, a mean standard deviation of 1.2 s or less and a number of errors of 17 per 100 persons or less. Reading time uniformity in the Danish version of the Radner Reading Chart was comparable to that of the original German version. Education had an influence on reading performance that may warrant stratification for this parameter when reading tests are used in clinical trials.

Write operation study of Co/BTO/LSMO ferroelectric tunnel junction

Recently, a Co/BaTiO3/La0.67Sr0.33MnO3 (Co/BTO/LSMO) ferroelectric tunnel junction (FTJ) has shown the great potential towards non-volatile memory and logic applications due to its excellent performance. Especially, the giant OFF/ON tunnel resistance ratio (e.g., ∼100) assures that FTJ-based random access memory (FTRAM) can achieve lower reading error rate than emerging magnetic RAM. Nevertheless, in this paper, our investigation demonstrated that this FTJ suffered from difficulties in write operation when integrating with current CMOS technology into a FTRAM. Specifically, the write performances of Co/BTO/LSMO 1T1R FTRAM such as cell area, speed, energy dissipation, and thermal fluctuation effect were simulated and evaluated with a compact model and CMOS 40 nm design kit. Simulation results indicate the drawbacks of this FTRAM including significant performance asymmetry between two write orientations, high write voltage, large cell area, and severe thermal fluctuation disturbance. Simultaneously, this research provides several methods of improving write performance of FTRAM from the perspective of device size and process parameters.

Using Repeated Reading to Improve Reading Speed and Comprehension in Students with Visual Impairments

Introduction This study evaluated whether children with visual impairments who receive repeated reading instruction exhibit an increase in their oral reading rate and comprehension and a decrease in oral reading error rates. Methods A single-subject, changing-criterion design replicated across three participants was used to demonstrate the association between a repeated reading intervention and the oral reading rate, comprehension, and error rate. Results Visual analysis of the data indicates that there was a functional relation between repeated reading and oral reading rate for two participants, and a functional relation between repeated reading and comprehension for all participants. There was not a functional relation between repeated oral reading and error rate. Discussion Based on the results of this study, repeated reading appears to be an effective practice for some students with visual impairments. Implications for practitioners Teachers and parents can engage children in repeated reading activities in an effort to develop automaticity in reading and to improve oral reading rates.

Display strobing: An effective countermeasure against visual blur from whole-body vibration

Crews and equipment in aerospace vehicles, including spacecraft at launch, can be exposed to significant vibration. Prior to this study, we examined the ability of vibrating observers to read alphanumeric symbology on stationary (i.e., non-vibrating) flight-relevant display formats and noted performance degradation with increasing vibration amplitude and decreasing font size. Here we test the efficacy of a display strobing countermeasure for the reading decrements caused by the same 12-Hz whole-body vibration in the surge (chest-to-spine) direction applied in our prior studies. To produce the strobe countermeasure, we triggered the backlight of a stationary liquid crystal diode (LCD) display panel to flash in synchrony with the 12-Hz vibration of the observer’s seat while experimentally varying both the strobe duty cycle and phase angle between the strobe onset and the vibration cycle zero-crossings. Strobing proved an effective countermeasure, restoring reading error rates during 0.7g (6.9m/s2 half-amplitude) whole-body vibration to levels indistinguishable from those achieved under the non-strobed (equivalent luminance) non-vibrating baseline condition and improving response times although not fully to the baseline. While we noted differences in the “preferred” phase angle of individual observers, on average, no overall effect of phase angle was detected. Likewise, no effect was seen for the two duty cycles and their respective equivalent luminance levels. Further studies are needed to determine the efficacy of strobing for multi-axis and multi-frequency vibration, and for displays with moving images.

Interim CRC: A Novel Method to Read Large-Size Data from Tags in RFID Systems

Large capacity tags are becoming available to meet the demands of industry, but the UHF RFID protocol is unable to reliably and efficiently read large data sets from tags. First of all, large data sets are not well protected. The tag merely relies on 16-bit CRC for ensuring the validity of up to 4,096-bit user-specific data in EPCglobalC1G2 protocol. Furthermore, the reliability will be even worse if large capacity tags are implemented using semi-active technology which is likely to prevail among sensor-integrated RFID tags. Since semi-active tags greatly alleviate the performance limitation imposed by the turn-on power of the tag chip, backscattering signal of semi-active tags could be a serious challenge for most readers because it is much weaker than signals emitted by passive tags due to longer reading distance. In this paper, Interim CRC is presented to enhance transmission reliability and efficiency when the tag is backscattering a large data set. By taking advantage of Interim CRC, the large data set can be divided into several blocks, and 16-bit checksum is calculated over each block. The tag backscatters all blocks at the first time and only retransmits certain blocks if CRC error occurs in those blocks. The result of simulation shows that the reading error rate can be confined to a preset threshold and the accumulative total of transmitted data are greatly reduced if optimal block size and transmission times are complied with. The simulation also conclusively proves that semi-active tags derive even longer reading range from Interim CRC. In addition, Interim CRC is totally compliant with the EPCglobalC1G2 protocol. It fully makes use of CRC-16 encoder and does not involve any other data encoding schematics and hardware modifications.

The Relationship of Error Rate and Comprehension in Second and Third Grade Oral Reading Fluency

This study explored the relationships of oral reading speed and error rate on comprehension with second and third grade students with identified reading risk. The study included 920 second and 974 third graders. Results found a significant relationship between error rate, oral reading fluency, and reading comprehension performance, and grade-specific guidelines for appropriate error rate levels. Low reading fluency and high error rates predicted the level of passage comprehension performance. For both second and third grade students, fall assessment error rate predicted comprehension performance. The acceptable third grade error rate cut point was 14%. Instructional implication are discussed.