A Novel Refreshment Circuit for 2T1M Neuromorphic Synapse

Neuromorphic systems are the future computing systems to overcome the von Neumann’s power consumption and latency wall between memory and processing units. The two main components of any neuromorphic computing system are neurons and synapses. Synapses carry the weight of the system to be multiplied by the neuromorphic attributes, which represent the features of the task to be solved. Memristor (memoryresistor) is the most suitable circuit element to act as a synapse. Its ability to store, update and do matrix multiplication in nanoscale die area makes it very useful in neuromorphic synapses. One of the most popular memristor synapse configurations is the two-transistor–one-memristor (2T1M) synapse. This configuration is very useful in neuromorphic synapses for its ability to control reading and updating the weight on a chip by signals. The main problem with this synapse is that the reading operation is destructive, which results in changing the stored weight value. In this paper, a novel refreshment circuit is proposed to restore the correct weight in case of any destructive reading operations. The circuit makes a small interrupt time during operation without disconnecting the memristor, which makes the circuit very practical. The circuit has been simulated by using hardware-calibrated CMOS TSMC 130[Formula: see text]nm technology on Cadence Virtuoso and linear ion drift memristor Verilog-A model. The proposed circuit achieves the refreshment task accurately for several error types. It is used to refresh 2T1M synapse with any destructive reading signal shape.

Intelligent color image restoration system using cognitive fuzzy concept

Deinterlacing is the procedure of reworking interlaced video signal into a non-interlaced format. The interlaced video signal is generally used in both of analog TV and HDTV with 1080i. The deinterlacing method was designed to solve a legacy issue, therefore the interlaced signal which was requested by analog TV must be trans-formed to be displayed on HDTV. This paper introduces fuzzy concept-based deinterlacing method and shows how it can be executed on various test set. The proposed method includes weight calculation stage and deinterlacing implementation stage. In weight calculation stage, I compute correct weight values on each edge direction, which are calculated using fuzzy concepts. In deinterlacing implementation stage, the computed weight values are used to obtain final deinterlacing pixels by multiplying them with candidate existent pixels. The presented method provides outstanding subjective and objective results in various data set.

Every cockroach is beautilful to the eyes of his mother? Parent’s perception of child’s BMI

Background Childhood obesity is becoming a social health problem in the western world and an important goal is to analyze and correct risk factors. Part of the problem could be determined by a different perception of the weight. We aim to determine the association between children's BMI and the parent's perception of their Health Status. Methods In October 2019 we conduced a cross sectional study in which a questionaire was administrated to the parents of primary and secondary schools children in South-East Tuscany, Italy. Eating habits, lifestyle and biometric data were collected from children and their parents. 4324 persons were included. We used Stata for descriptive and inferential analysis. Cohen's Kappa was used to find the correlation between variables. Results Analysis was carried out on 1421 complete questionnaires. We found that most of parents have a wrong perception of weight's children. 88.3% of parents who have obese children belive that his child is normal weight or only “a little overweight” and only 11.7% have a perception of their child's obesity. 67.6% of parents who have overweight children, belive that their child is normal weight. While among underweight children, 74.3% of parents belive that their child is normal weight. Cohen's kappa show poor agreement between real and perceived BMI (K = 0.26; p = 0.0001). Conclusions Our results show, among the overweight children, there is a misperception in the weight of the child by the parents, uniformly with the data present in the literature. Acquisition of healty behavior during childhood is extremely important for the state of health in adulthood and for avoiding the onset of associated diseases. Therefore, food education becomes a crucial objective for the future of our country: an essential goal is to create prevention programs addressed to children and parents to increase consciousness of the correct weight and the diseases that can result from bad nutrition. Key messages Many parents have a misperception of the weight of their children. It is crucial to educate parents to control their children's weight to avoid the onset of metabolic diseases. Increase consciousness in children and parents of the correct weight should become extremely important to avoid the onset of disease in adulthood.

CHARACTERIZATION OF A MOBILE MAPPING SYSTEM FOR SEAMLESS NAVIGATION

Mobile Mapping Systems (MMS) are multi-sensor technologies based on SLAM procedure, which provides accurate 3D measurement and mapping of the environment as also trajectory estimation for autonomous navigation. The major limits of these algorithms are the navigation and mapping inconsistence over the time and the georeferencing of the products. These issues are particularly relevant for pose estimation regardless the environment like in seamless navigation. This paper is a preliminary analysis on a proposed multi-sensor platform integrated for indoor/outdoor seamless positioning system. In particular the work is devoted to analyze the performances of the MMS in term of positioning accuracy and to evaluate its improvement with the integration of GNSS and UWB technology. The results show that, if the GNSS and UWB signal are not degraded, using the correct weight to their observations in the Stencil estimation algorithm, is possible to obtain an improvement in the accuracy of the MMS navigation solution as also in the global consistency of the final point cloud. This improvement is measured in about 7 cm for planimetric coordinate and 34 cm along the elevation with respect to the use of the Stencil system alone.

Overweight in Young Athletes: New Predictive Model of Overfat Condition

The aim of the study is to establish a simple and low-cost method that, associated with Body Mass Index (BMI), differentiates overweight conditions due to a prevalence of lean mass compared to an excess of fat mass during the evaluation of young athletes. 1046 young athletes (620 male, 426 female) aged between eight and 18 were enrolled. Body composition assessments were performed with anthropometry, circumferences, skinfold, and bioimpedance. Overweight was established with BMI, while overfat was established with the percentage of fat mass: 3.5% were underweight, 72.8% were normal weight, 20.1% were overweight, and 3.5% were obese according to BMI; according to the fat mass, 9.5% were under fat, 63.6% were normal fat, 16.2% were overfat, and 10.8% were obese. Differences in overfat prediction were found using BMI alone or with the addition of the triceps fold (area under the receiver operating characteristics curve (AUC) for BMI = 0.867 vs. AUC for BMI + TRICEPS = 0.955, p < 0.001). These results allowed the creation of a model factoring in age, sex, BMI, and triceps fold that could provide the probability that a young overweight athlete is also in an overfat condition. The calculated probability could reduce the risk of error in establishing the correct weight status of young athletes.

Growth Charts for Height, Weight, and BMI (6–18 y) for the Tuscany Youth Sports Population

Overweight during youth is a large-scale public health issue. Engaging in regular physical activity generally reduces weight status. The hypothesis of the study is that organized sport plays an active role in maintaining a correct body weight during youth. The purpose of this study is to trace growth charts by height, weight, and body mass index (BMI) to be applied to the youth sports population. A retrospective study was conducted on 14,700 young athletes (10,469 males and 4231 females) aged between 6 and 18 years from surveillance carried out during the pre-participation screening of sports eligibility. The calculation of the prevalence of overweight and obesity was also performed. The new percentiles for the youth sports population show BMI values at 18 years 21.9 kg/m2 for males and 20.7 kg/m2 for females at the 50th percentile. The male sample shows 12.3% of the subjects were overweight and 1.5% were obese, while the female sample shows 9.8% are overweight and 1.1% obese. The higher prevalence of excess weight is evident up to 12 years old in both sexes and then gradually decreases. The development of the new specific growth charts for the youth sports population could reduce the risk of error in identifying the correct weight status of young athletes.

Inappropriate maternal perception of child’s weight status: a potential threat to nutrition

Background: This study was done to know the maternal perception of weight of their children and correlate it with exact weights. We also studied various factors affecting ability of a mother to perceive her child’s weight status.Method: This prospective study was done in Pediatric Department of a tertiary care teaching hospital of Western Gujarat, India, from January 2018 to September 2018. 897 mothers of children < 5 years of age were included. Socio-demographic and anthropometric details of child and mother were recorded. Maternal perception of their child’s weight status was enquired. A correlation between perceived and actual child weight status was estimated.Results: 897 patients <5 years of age had mean (SD) age of 28.66 (±17.04) months, weight 10.17 (±3.5) kg, height 0.81 (±0.15) meters and BMI 15.74 (±15.26) kg/m2. 34.7% of mothers perceived underweight erroneously as compared to actual weight status being normal (p value=0.00001). Misperception (under or over) of the mothers for their children weight status was significant for girls (p=0.011). Significant difference between perceived and actual weight status was seen in birth orders 1 to 4. 34. 6% actual UW children were perceived as NW by < 40 years age mothers (p=0.0018). 78.2% uneducated and 81% of primary or secondary educated mothers from lower SES felt their children were of NW status whereas actually 43.4% and 50.3% children were of NW status respectively (p=0.00001). Surprisingly, 91.3% of graduate or postgraduate mothers of middle SES perceived their children as NW status while actually only 39.1% were of NW and 52.1% of UW (p=0.00001).Conclusion: Half of the mothers were not able to perceive correct weight status of their children. Misperception was significant for girls. Significant difference between perceived and actual weight status was seen for birth orders 1 to 4. Mothers <40 years of age significantly failed to perceive actual UW status of the children. Both educated and uneducated mothers misclassified their children’s weight status significantly.

Dog owner’s accuracy measuring different volumes of dry dog food using three different measuring devices

Prior research demonstrates significant inaccuracy when repeatedly measuring the same amount of dry dog food using a dry-food measuring cup, bringing into question the accuracy of measuring devices. This study aimed to determine dog owners’ accuracy when measuring different volumes of dry dog food using different types of measuring devices. One hundred dog owners, randomly assigned one of three measuring devices (a one-cup dry-food measuring cup, a two-cup graduated-liquid measuring cup or a two-cup commercial food scoop), were asked to measure ¼, ½ and 1 cup of dry dog food. Accuracy was assessed with an electronic gram scale by comparing measured volumes with the correct weight in grams. Individual accuracy ranged from −47.83% to 152.17% across devices and volumes. Measuring accuracy was found to be associated with the volume of food measured (p<0.001) and the type of measuring device used (p<0.001). Findings highlight approaches for decreasing excess intake of calories by dogs, including promotion of tactics to improve measurement accuracy (eg, gram scales, volume-calibrated dry-food measuring devices), especially for measuring small volumes.

Identifying the Incidence of Exercise Dependence Attitudes, Levels of Body Perception, and Preferences for Use of Fitness Technology Monitoring

Background: The study was focused on identifying the relationship between the incidence of exercise dependence attitudes, the level of body perception, and preferences for use of fitness technology monitoring. Methods: We investigated 241 students from physical education and sports specializations. We used a questionnaire structured in 5 parts: personal information (age, gender, weight, height, and institutional membership), Exercise Dependence Scale-R (EDS-21), the Compulsive Exercise Test (CET), Body perception questionnaire, and Fitness Monitoring Technology. Results: Application of EDS-21 revealed 8.3% with dependence and CET with 13.4%. Body mass index (BMI) in combination with self-image body: 18 (7.4%) of subjects over-estimated themselves, 18 (7.4%) of subjects underestimated themselves, 38.6% of the subjects were satisfied with their appearance, 17% were very satisfied and none were dissatisfied. A total of 36.1% thought they had the correct weight and 8.7% thought of losing weight. The most preferred monitoring technologies were the treadmill and the smartphone’s fitness applications. A total of 11.6% of the subjects always used technologies, and 17% of subjects never did so. Conclusions: In order to identify the level of incidence of exercise dependence, body perception, and preference and frequency of use of monitoring technology, it is necessary to expand the level of knowledge about health and physical activities. The approach would diminish medical incidences of addiction, improve proactive behaviors, and correct prohealth.

Combating childhood obesity

The aim of this study was to explore the reactions of children aged 10–11 years towards being weighed and measured and subsequently told their correct weight as part of the National Child Measurement Programme (NCMP). The study was undertaken in primary schools in a Primary Care Trust (PCT) in the North East of England, UK. One-to-one semi-structured interviews were conducted post-NCMP measurement (and the feedback) with a sample of 21 children, aged 10–11 years, conveniently sampled from the primary schools in the PCT. Findings from the study indicate that the NCMP, especially the weight feedback letter caused annoyance, panic and worry among children who were indicated to have weight problems and oversensitised all children about weight issues, regardless of their weight category. The NCMP is a potentially useful ‘wake-up call’ to the fact that something needs to be done for children identified to be overweight or obese but needs to be delivered with a sensitivity to the impact of the news on the child.