A Searching and Automatic Video Tagging Tool for Events of Interest during Volleyball Training Sessions

Date of Conference: 14-18 October 2019Conference Name: 21st ACM International Conference on Multimodal Interaction, ICMI 2019Quick and easy access to performance data during matches and training sessions is important for both players and coaches. While there are many video tagging systems available, these systems require manual effort. This paper proposes a system architecture that automatically supplements video recording by detecting events of interests in volleyball matches and training sessions to provide tailored and interactive multi-modal feedback.ACM SIGCHIAISpeechBaiduMicrosoftOpenstreamSenseTim

A Model for the Prediction of Lifetime Profit Estimate of Dairy Cattle (Student Abstract)

In livestock management, the decision of animal replacement requires an estimation of the lifetime profit of the animal based on multiple factors and operational conditions. In Dairy farms, this can be associated with the profit corresponding to milk production, health condition and herd management costs, which in turn may be a function of other factors including genetics and weather conditions. Estimating the profit of a cow can be expressed as a spatio-temporal problem where knowing the first batch of production (early-profit) can allow to predict the future batch of productions (late-profit). This problem can be addressed either by a univariate or multivariate time series forecasting. Several approaches have been designed for time series forecasting including Auto-Regressive approaches, Recurrent Neural Network including Long Short Term Memory (LSTM) method and a very deep stack of fully-connected layers. In this paper, we proposed a LSTM based approach coupled with attention and linear layers to better capture the dairy features. We compare the model, with three other architectures including NBEATs, ARIMA, MUMU-RNN using dairy production of 292181 dairy cows. The results highlight the performence of the proposed model of the compared architectures. They also show that a univariate NBEATs could perform better than the multi-variate approach there are compared to. We also highlight that such architecture could allow to predict late-profit with an error less than 3$ per month, opening the way of better resource management in the dairy industry

The Epidemiology of Gastrointestinal Cancers in Elderly of East-Azerbaijan Province (2006)

Objectives: Globally, gastrointestinal cancers are the most common cancers in the older population aged 65 and older. Due to such high prevalence, this study aimed to provide the incidence rate of these cancers in such population and observe the changing impact of these cancers with increasing age versus young adult (15 to 44) and middle age (45 to 64) groups. Methods & Materials: A population based cancer registry was undertaken register all new cancer cases during a one year period (March 2006 to March 2007). Data were collected by recording consecutive cancer patients from all referral and valid pathology laboratories, hospitals and out patient public and private clinics, diagnostic and clinic laboratories, radiotherapy and chemotherapy centers and death certificates. Results: During one year, 1533 new onset cases were collected in the East Azerbaijan province. Eight hundred twenty four patients (53.8%) were ≥65 years, 522(34.1%) middle age group and 125 patients (8.2%) in young adult group. Four percent of patients were with unknown age group. In elderly group, 67.2% were male and 32.8% were female. The mean age (±SD) at diagnosis was 73.74±5.64 years for males and 73.39±5.88 years for females. Based on age-standardized rate (ASR), gastric cancer (222.30) in males and esophageal cancer (83.13) in females which were found to be the most common cancers in the elder group. The gastric cancer incidence rate in geriatric males was 3 times higher than females (80.81) of the same group. Colorectal cancer was the third common cancer (63.02 in males and 43.51 in females) and small intestinal cancer (excluding the anal cancer) had the lowest incidence rate among gastrointestinal cancers (3.42 and 3.59). Conclusion: In spite of increasing life expectancy and quality of life in Iran due to increasing of higher quality of life care demands. This study concluded a high incidence of gastrointestinal cancer in geriatric. Since the pattern of population is young pattern in Iran and they will be aged in a few years, gastrointestinal cancers must be look upon as an important issue in this target population. It is essential to emphasis the increasing need for research in different aspects of the prevention and the planning for the treatment of gastrointestinal cancers the elderly

Diagnostic value of anti-smooth muscle antibodies and liver enzymes in differentiation of extrahepatic biliary atresia and idiopathic neonatal hepatitis

Background: We aimed to evaluate the diagnostic value of anti-smooth muscle antibodies (ASMA) and two liver markers (gamma-glutamyl transpeptidase [GGT] and alkaline phosphatase [ALP]) for differentiating between patients with extrahepatic biliary atresia (EHBA) and idiopathic neonatal hepatitis (INH). Materials and Methods: During April 2010-2011, all infants at 2 weeks of age who were diagnosed with cholestasis and admitted to Children′s Hospital of Tabriz were enrolled. Based on the results of physical examination, laboratory, imaging and pathological studies, neonates were divided into two groups (EHBA and INH). Receiver operating characteristics analysis was used to define sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy for ASMA, GGT and ALP. Results: Thirty neonates with cholestasis (18 with EHBA and 12 with INH) and mean age of 54.66 ΁ 25.86 days were enrolled. Total and direct bilirubin, serum glutamic oxaloacetic transaminase, serum glutamic pyruvic transaminase and ASMA titres were highly not significant (P > 0.05) in patients with INH. GGT (P = 0.008) and ALP (P = 0.01) had statistically significant differences that were higher in patients with EHBA. The sensitivity, specificity, PPV and NPV, accuracy, LR+ and LR− of SMA in differentiating cases with BA were 66.7%, 75%, 80% 60%, 70%, 2.68 and 0.44, respectively. For GGT, the values were 88.9%, 66.7%, 80%, 80%, 79.1%, 3.08 and 0.31, respectively. Finally, for ALP, the values were 77.8%, 75%, 82.4%, 69.2%, 80%, 2.66 and 0.24, respectively. Conclusion: Our study showed that ASMA may be a useful biomarker for differentiation of EHBA from INH. Further studies with larger samples are recommended for confirming the results of this study