Academic literature on the topic 'Cricket Data processing'
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Journal articles on the topic "Cricket Data processing"
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Fernandez-Cassi, X., A. Supeanu, M. Vaga, A. Jansson, S. Boqvist, and I. Vagsholm. "The house cricket (Acheta domesticus) as a novel food: a risk profile." Journal of Insects as Food and Feed 5, no. 2 (April 3, 2019): 137–57. http://dx.doi.org/10.3920/jiff2018.0021.
Full textAbstract:
Novel foods represent sustainable alternatives to traditional farming and conventional foodstuffs. The house cricket (Acheta domesticus) is considered as one of the most promising reared insects due to their attractive nutritional profile and lower feed conversion ratio compared to other animals. However, putative health hazards associated with consumption of crickets have previously not been investigated. The present study assesses the risks of A. domesticus reared in closed systems controlled by the implementation of hazard analysis and critical control points and good farming practices. Due to the novelty of the topic, data scarcity has been a limiting factor, hence comparative evidence from closely related species belonging to the order Orthoptera (e.g. grasshoppers, locusts, and other cricket species) have been included. The present risk profile identified as main hazards: (1) high total counts of aerobic bacteria; (2) presence of spore-forming bacteria post thermal processing; (3) accumulation of cadmium and other heavy metals; and (4) a possible increase of allergenic reactions due to exposure to insects and insect derived products. Important data gaps regarding edible crickets and their safety as novel foods have been highlighted in the future perspective section, representing aims for future research. Identified data gaps include: (1) farming conditions of the insects being studied; (2) data on the impact of thermal processing of the products prior to consumption; (3) fungal communities and mycotoxins-producing fungi in reared crickets; and (4) heavy metals not fully assessed (chromium, aluminium and arsenic) and other chemical hazards produced during processing (i.e. heterocyclic aromatic amines, acrylamide). The present risk profile explores food safety risks related to consumption of A. domesticus, thereby constituting an example of chemical and microbial hazards risk profiling on edible insects, covering rearing to consumption.
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Dias, Pubudu, Séan R. Mitchell, and Andy R. Harland. "Novel Experimental Protocol to Capture Movement Data and Predict Shot Execution in Cricket Batting." Proceedings 49, no. 1 (June 15, 2020): 41. http://dx.doi.org/10.3390/proceedings2020049041.
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Shot execution in cricket batting is reliant on intricate movement patterns of crucial body segments. When there is a substantial amount of batting movement data available, supervised machine learning can be used to classify when a batting shot execution takes place in a cricket batting cycle. An automated approach to identify and assess cricket batting could be useful for the applications including performance evaluation, talent identification and injury prevention. Current evaluation of movements and shot execution are generally undertaken in an artificial environment with camera-based, motion tracking systems to collect batting movement data, which require careful preparation, data collection and post-processing, and risk changing the natural gameplay of a batsman. By training a model based on data obtained from a close representation of a cricket batting innings, supervised machine learning was found to be capable of reliably predicting cricket batting shot execution.
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Jakab, I., J. Tormási, V. Dhaygude, Zs Mednyánszky, L. Sipos, and I. Szedljak. "Cricket flour-laden millet flour blends' physical and chemical composition and adaptation in dried pasta products." Acta Alimentaria 49, no. 1 (March 2020): 4–12. http://dx.doi.org/10.1556/066.2020.49.1.2.
Full textAbstract:
Increasing the protein and antioxidant content of food products is a constant challenge amongst researchers. Dried pasta products are popular amongst all groups of society. The most important factor in pasta processing is the quality of the flour. Millet (Panicum miliaceum) flour has high nutritional value, enriching it with cricket (Gryllus bimaculatus) flour is good choice to increase the quality of protein composition and antioxidant properties of products. Flour mixtures of millet and insect flours (5% and 10%) were analysed after mixing and pasta processing. Addition of wheat gluten improved both texture and nutrition value of pasta products. Total polyphenol content, antioxidant capacity, total protein content, free and total amino acid composition were studied. Quality analysis of dried pasta products were carried out according to Hungarian standards. Data was analysed with Kruskal-Wallis test, Dunn's pair-wise post hoc test was used with Bonferroni correction. The correlation was determined by Spearman's rank. Addition of cricket flour modified the pH, acid value, moisture content, and colour of the samples, these changes lasted during storage. Enrichment could increase the total phenol content significantly even at the low level of 10%. Heat treatment during pasta processing had negative effect on the antioxidant capacity except at higher cricket flour contents. Cricket flour's high protein content proportionately increased millet flour's, thus pasta products'. Dried pasta products passed all quality norms. Enrichment of millet flour with cricket flour is favourable from both nutritional and quality aspects.
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Reverberi, M. "Edible insects: cricket farming and processing as an emerging market." Journal of Insects as Food and Feed 6, no. 2 (April 8, 2020): 211–20. http://dx.doi.org/10.3920/jiff2019.0052.
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This article provides information on recent trends in cricket farming and processing in Asian and Western countries. Whilst eating insects collected from the wild has long been a common practice in many countries, farming and transforming insects into a food ingredient for packaged products is a new development. Particularly in North America and Europe, some new, small companies are transforming cricket (and mealworm) powder into packaged food (energy bars, pasta, and chips among the examples). Within this article, two contrasting farming systems are principally considered. On one hand is the Thai cricket farming model, based on micro-farms, in which the small farmers do not make the flour; this task instead being handled by specialised businesses. On the other hand, is the western farming model, in which farms are large, and the flour is produced by the very same factory-farm. Examples of this model are found in the Netherlands (Protifarm) and Canada (Entomofarm). Since insect powders (flour) in packaged foods represent a new category of food product, little market data and/or surveys are available. The products are often sold on small online shops, within the context of an informal business operations. As a consequence, some of the information in this article comes from informal sources or the direct experience of the author.
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Rull, Mateo, Jacob Solomon, and Nicolai Konow. "Elastic recoil action amplifies jaw closing speed in an aquatic feeding salamander." Proceedings of the Royal Society B: Biological Sciences 287, no. 1927 (May 20, 2020): 20200428. http://dx.doi.org/10.1098/rspb.2020.0428.
Full textAbstract:
Tendon springs often influence locomotion by amplifying the speed and power of limb joint rotation. However, less is known about elastic recoil action in feeding systems, particularly for small aquatic animals. Here, we ask if elastic recoil amplifies the speed of gape closing during aquatic food processing in the Axolotl ( Ambystoma mexicanum ). We measure activation of the adductor mandibulae externus via electromyography and strain of the jaw adductor muscle–tendon unit (MTU), and gape kinematics via fluoromicrometry. The muscle is pre-activated coincident with gape opening, which causes MTU stretch. Activation lasts significantly shorter for fish than cricket processing, and muscle shortening during MTU lengthening yields significantly greater elastic strain for cricket processing. The speed of MTU shortening, which dictates the speed of gape closing is 2.5–4.4 times greater than the speed of the initial shortening of the muscle fascicles for fish and cricket gape cycles, respectively. These data demonstrate a clear role for elastic recoil, which may be unexpected for a MTU in a feeding system of a small, aquatic animal. Amplification of jaw-closing speed resulting from elastic recoil likely confers ecological advantages in reducing prey escape risks during food processing in a dense and viscous fluid environment.
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Awan, Mazhar Javed, Syed Arbaz Haider Gilani, Hamza Ramzan, Haitham Nobanee, Awais Yasin, Azlan Mohd Zain, and Rabia Javed. "Cricket Match Analytics Using the Big Data Approach." Electronics 10, no. 19 (September 26, 2021): 2350. http://dx.doi.org/10.3390/electronics10192350.
Full textAbstract:
Cricket is one of the most liked, played, encouraged, and exciting sports in today’s time that requires a proper advancement with machine learning and artificial intelligence (AI) to attain more accuracy. With the increasing number of matches with time, the data related to cricket matches and the individual player are increasing rapidly. Moreover, the need of using big data analytics and the opportunities of utilizing this big data effectively in many beneficial ways are also increasing, such as the selection process of players in the team, predicting the winner of the match, and many more future predictions using some machine learning models or big data techniques. We applied the machine learning linear regression model to predict the team scores without big data and the big data framework Spark ML. The experimental results are measured through accuracy, the root mean square error (RMSE), mean square error (MSE), and mean absolute error (MAE), respectively 95%, 30.2, 1350.34, and 28.2 after applying linear regression in Spark ML. Furthermore, our approach can be applied to other sports.
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Sivaramaraju, Vetukuri, Nilambar Sethi, and Renugunta Rajender. "Heuristics for Winner Prediction in International Cricket Matches." Statistics, Optimization & Information Computing 8, no. 2 (May 28, 2020): 602–9. http://dx.doi.org/10.19139/soic-2310-5070-648.
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Cricket is popularly known as the game of gentlemen. The game of cricket has been introduced to the World by England. Since the introduction till date, it has become the second most ever popular game. In this context, few a data mining and analytical techniques have been proposed for the same. In this work, two different scenario have been considered for the prediction of winning team based on several parameters. These scenario are taken for two different standard formats for the game namely, one day international (ODI) cricket and twenty-twenty cricket (T-20). The prediction approaches differ from each other based on the types of parameters considered and the corresponding functional strategies. The strategies proposed here adopts two different approaches. One approach is for the winner prediction for one-day matches and the other is for predicting the winner for a T-20 match. The approaches have been proposed separately for both the versions of the game pertaining to the intra-variability in the strategies adopted by a team and individuals for each. The proposed strategies for each of the two scenarios have been individually evaluated against existing benchmark works, and for each of the cases the duo of approaches have outperformed the rest in terms of the prediction accuracy. The novel heuristics proposed herewith reflects efficiency and accuracy with respect to prediction of cricket data.
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Maiyo, Nelly C., Fathiya M. Khamis, Michael W. Okoth, George O. Abong, Sevgan Subramanian, James P. Egonyu, Cheseto Xavier, et al. "Nutritional Quality of Four Novel Porridge Products Blended with Edible Cricket (Scapsipedus icipe) Meal for Food." Foods 11, no. 7 (April 5, 2022): 1047. http://dx.doi.org/10.3390/foods11071047.
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Currently, no data exist on the utilization of the newly described cricket species (Scapsipedus icipe) meal as additive in food products, though they have high protein (57%) with 88% total digestibility as well as a variety of essential amino acids. This article presents the first report on the effects of processing techniques and the inclusion of cricket meal (CM) on the nutrient and antinutrient properties of four porridge products compared to a popularly consumed commercial porridge flour (CPF). Porridge enriched with CM had significantly higher protein (2-folds), crude fat (3.4–4-folds), and energy (1.1–1.2-folds) levels than the CPF. Fermented cereal porridge fortified with CM had all three types of omega-3 fatty acids compared to the others. The vitamin content across the different porridge products varied considerably. Germinated cereal porridge with CM had significantly higher iron content (19.5 mg/100 g). Zinc levels ranged from 3.1–3.7 mg/100 g across the various treatments. Total flavonoid content varied significantly in the different porridge products. The phytic acid degradation in germinated and fermented porridge products with CM was 67% and 33%, respectively. Thus, the fortification of porridge products with cricket and indigenous vegetable grain powder could be considered an appropriate preventive approach against malnutrition and to reduce incidences in many low-and middle-income countries.
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Jadhav, Varsha D., and Sachin N. Deshmukh. "Twitter Intention Classification Using Bayes Approach for Cricket Test Match Played Between India and South Africa 2015." International Journal of Rough Sets and Data Analysis 4, no. 2 (April 2017): 49–62. http://dx.doi.org/10.4018/ijrsda.2017040104.
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Information retrieval and forecasting in real time is becoming the fastest and most efficient way to obtain useful knowledge of what is happening now, allowing organizations to react quickly when problem appears which help to improve their performance. There is enormous amount of data in the form of tweets. It builds data processing system that creates informative data about the cricket test matches. Using twitter data, the authors find the sentiments or polarity of fans posting tweets related to game. Polarity is given as positive, negative and neutral. The authors also analyze the feelings or emotions of people posting tweets. Emotions are given as anger, disgust, fear, joy, sadness, surprise and unknown. Machine learning algorithm (Bayes) using R technology shows the accuracy when trained with emotion data.
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Kostarakos, Konstantinos, and Berthold Hedwig. "Surface electrodes record and label brain neurons in insects." Journal of Neurophysiology 118, no. 5 (November 1, 2017): 2884–89. http://dx.doi.org/10.1152/jn.00490.2017.
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We used suction electrodes to reliably record the activity of identified ascending auditory interneurons from the anterior surface of the brain in crickets. Electrodes were gently attached to the sheath covering the projection area of the ascending interneurons and the ringlike auditory neuropil in the protocerebrum. The specificity and selectivity of the recordings were determined by the precise electrode location, which could easily be changed without causing damage to the tissue. Different nonauditory fibers were recorded at other spots of the brain surface; stable recordings lasted for several hours. The same electrodes were used to deliver fluorescent tracers into the nervous system by means of electrophoresis. This allowed us to retrograde label the recorded auditory neurons and to reveal their cell body and dendritic structure in the first thoracic ganglion. By adjusting the amount of dye injected, we specifically stained the ringlike auditory neuropil in the brain, demonstrating the clusters of cell bodies contributing to it. Our data provide a proof that surface electrodes are a versatile tool to analyze neural processing in small brains of invertebrates. NEW & NOTEWORTHY We show that surface suction electrodes can be used to monitor the activity of auditory neurons in the cricket brain. They also allow delivering electrophoretically a fluorescent tracer to label the structure of the recorded neurons and the local neuropil to which the electrode was attached. This new extracellular recording and labeling technique is a versatile and useful method to explore neural processing in invertebrate sensory and motor systems.