Anti-Raider ATM System Using Mobilenetv2

Cash vending machines are ubiquitous and although their technology vouches for its security, they are erratically stormed by the raiders. Albeit the escalating crime counts, the raiders are fleeing from the justice by virtue of evidence lacking. This research work proposes a computer vision based Anti-Raider ATM system. The proposed approach models the image, acquired from the CCTVs against the raider images based on the computer vision and deduces the fact from the MobileNetv2 architecture. Once the model identifies the raider, the image is uploaded to the Google Drive, which serves as evidence for the judicial department. The proposed research is modeled against several optimizers and the result concludes that, among them Adam optimizer has excelled in both computation time and accuracy.

Directivos ante situaciones de crisis. El uso de LinkedIn por parte de la CEO de Metro de Madrid durante la borrasca Filomena / Senior managers in crisis situations. The use of LinkedIn by the CEO of Metro de Madrid during the storm Filomena

In January 2021, the storm Filomena paralysed Spain. One of the most affected cities was Madrid, which suffered a general collapse for several days. Metro de Madrid (underground railway company and one of the most popular public services in the city) continued to provide service to its users. Silvia Roldan (CEO of Metro de Madrid) wrote a daily post on LinkedIn to explain to users what problems they were facing, how they were being solved and how the service was ensured. Metro de Madrid is an underground railway company that was inaugurated in 1919. It extends over 294 kilometres distributed in 302 stations. It employs 7,000 persons. Other data of Metro de Madrid are: 2,400 cars, 8,758 security cameras, 1,263 vending machines, 2,424 tele-indicators, 1,703 escalators, 541 lifts and 5,386 intercoms. "LinkedIn is a social network that has a great attraction, you are addressing a professional audience, which judges you on the basis of the work you do", says the CEO of Metro de Madrid in an interview conducted to illustrate this research. This research is based on two hypotheses: 1) In a crisis context, direct communication between a company's executive and stakeholders reduces uncertainty and helps to restore institutional equilibrium; and 2) It is possible to find a paradigmatic model in this type of communication with specific stakeholders. This research carried out a quantitative and qualitative analysis using a content analysis of Roldan’s posts on LinkedIn during this crisis and an interview with the CEO of Metro de Madrid. This case gives us some lessons in communication as main results. LinkedIn is an optimal platform for crisis communication, especially if we want to transmit moderately long messages, with nuances, aimed at a professional audience willing to listen and dialogue. Roldan’s colloquial and friendly tone used in her posts are justified in this case (Filomena crisis). She is CEO of the company, direct witness of the facts and responsible for the solutions that are implemented. She uses the first-person narrative, which produces closeness and is a good remedy against uncertainty. It complements institutional messages, transmitted through institutional media and channels, which use a more aseptic and formal tone. The use of photographs in the published posts establishes an emotional links between the author of the post and readers. Readers feel like a direct witness of the facts, especially when the photograph is a subjective close-up. LinkedIn, despite not being Metro de Madrid's main communication channel, is a useful and valuable platform for communicating in emergency situations, even in a more personal and less institutional way than other platforms. Perhaps its greatest virtue is to target a professional and specialised audience, which can be proactive in the resolution of an emergency. The use of LinkedIn in emergency situations is still under-researched compared to other social platforms such as Twitter, Facebook, WhatsApp or Instagram. This article is part of the competitive research project: “Crisis and emergency communication in Social Media. Study of its use in Spain and design of information protocols for institutions and media (COMCRISIS - PID2019-109064GB-I00)” granted and funded by the Ministry of Science and Innovation of the Spanish Government.

Desain Finite State Automata Untuk Merancang Vending Automata Logam Mulia

Abstrak: Menabung logam mulia merupakan investasi yang dianggap safe haven, ditengah era modern saat ini menabung logam mulia dapat dilakukan dengan cara dicicil, sedangkan yang menjadi masalahnya adalah kekhawatiran ketika fisik logam mulia tidak dapat ditarik fisiknya yang membuat potensi fraud atau investasi bodong yang sedang marak saat ini, untuk mengatasi masalah itu penjualan logam mulia dapat dikembangkan menjadi lebih menarik dengan vending machine, untuk memperdalam pemahaman mengenai salah satu model komputasi yang mendasar dan pengenalan Internet of Things (IoT), desain vending machine ini akan menggunakan metode finite state automata (FSA). Dengan desain finite state automata, penelitian ini telah menghasilkan desain vending machine logam mulia berbasis Internet of Things (IoT) dari cara login ke vending machine sampai fisik logam mulia dapat diterima. Produk penjualan logam mulia dengan menggunakan vending machine ini diharapkan dapat menjangkau masyarakat lebih luas untuk berinvestasi, khususnya logam mulia. Kata kunci: Internet of Things, logam mulia, vending machine Abstract: Saving gold is an investment that is considered a safe haven, in the midst of today's modern era saving gold can be done in installments, while the problem is the concern when the physical gold cannot be physically withdrawn which creates the potential for fraud or fraudulent investments that are currently rampant. to overcome this problem the sale of precious metals can be developed to be more attractive with vending machines, to deepen understanding of one of the fundamental computing models and the introduction of the Internet of Things (IoT), this vending machine design will use the finite state automata (FSA) method. With the design of finite state automata (FSA), this research has resulted in the design of a gold vending machine based on the Internet of Things (IoT) from how to login to the vending machine until the gold is physically acceptable. The product selling gold using vending machines is expected to reach a wider audience to invest, especially gold. Keywords: Internet of Things, precious metals, vending machine

Dual Image-Based CNN Ensemble Model for Waste Classification in Reverse Vending Machine

A reverse vending machine motivates citizens to bring recyclable waste by rewarding them, which is a viable solution to increase the recycling rate. Reverse vending machines generally use near-infrared sensors, barcode sensors, or cameras to classify recycling resources. However, sensor-based reverse vending machines suffer from a high configuration cost and the limited scope of target objects, and conventional single image-based reverse vending machines usually make erroneous predictions about intentional fraud objects. This paper proposes a dual image-based convolutional neural network ensemble model to address these problems. For this purpose, we first created a prototype reverse vending machine and constructed an image dataset containing two cross-sections of objects, top and front view. Then, we chose convolutional neural network models widely used in image classification as the candidates for building an accurate and lightweight ensemble model. Considering the size and classification performance of candidates, we constructed the best-fit ensemble combination and evaluated its classification performance. The final ensemble model showed a classification accuracy higher than 95% for all target classes, including fraud objects. This result proves that our approach achieves better robustness against intentional fraud objects than single image-based models and thus can broaden the scope for target resources. The measurement results on lightweight embedded platforms also demonstrated that our model provides a short inference time that is enough to facilitate the real-time execution of reverse vending machines based on low-cost edge artificial intelligence devices.

EXPRESS: When Detailed Information Works Better: Comparison of Three and Five Color/Letter Front-of-Package Nutrition Labels

The adoption of front-of-package (FoP) nutrition labels to promote healthier food choices is increasing worldwide, yet it remains unclear which types of nutrition labels are superior from a public policy perspective. This research compares two common forms of evaluative FoP nutrition labels that vary in the number of colors and corresponding letters they display (three colors, A—C [3C] vs. five colors, A—E [5C]). Four studies, including a field study with vending machines and a study in an experimental supermarket using eye-tracking, show that compared with the 3C label and no label (control) conditions, the 5C label enhances purchase intentions and choices of healthy alternatives. In particular, the 5C nutrition label is superior because it provides more information that helps consumers discriminate the products’ healthiness. This ability to discriminate healthiness modifies consumers’ perceived healthiness of products and influences both their purchase intentions and choice of healthy food options.

Do Parental Perceptions of the Nutritional Quality of School Meals Reflect the Food Environment in Public Schools?

(1) Background: It is unknown whether parents’ perception of school meals, a determinant of student meal participation, align with the nutritional quality of meals served in schools. This study compares the healthfulness of foods offered in schools with parental perception of school meals at those same schools. (2) Method: Parents were asked to rate the healthfulness of school meals at their child’s school. Data on the types of foods offered were collected from public schools in four cities in New Jersey and matched with parent-reported data. Measures were developed to capture the presence of healthy and unhealthy items in the National School Lunch Program and the presence of a la carte offerings as well as vending machines. Multivariable analysis examined the association between parental perceptions of school meals and the school food measures after adjusting for covariates. (3) Results: Measures of the school food environment and parental perceptions were available for 890 pre-K to 12th grade students. No significant associations were observed between parental perceptions and food environment measures when examined one by one or in a comprehensive model. (4) Conclusions: Parents’ perception of the healthfulness of meals served do not align with the nutritional quality of foods offered at schools.

Microbial Safety of Milk from Vending Machines in the Informal Settlements of Nairobi, Kenya

The microbial quality of milk is an important parameter in determining its safety. Processes such as pasteurization are meant to ensure milk is safe for consumption; however, postpasteurization activities could lead to milk contamination, hence threatening the health of consumers. This study sought to determine the microbial safety of milk obtained from vending machines that were located in Nairobi’s informal settlements of Kibra and Dagoretti North. 37 milk samples were collected both from the storage tanks and vending machines located in the study area using a cross-sectional design and tested for microbial safety. Data were then recorded in datasheets and analyzed using frequencies and t-test with the aid of Statistical Package for Social Sciences software. Milk samples tested had acceptable levels of pH with a mean of 6.75; however, the pH of samples from the vending machines was lower than that of samples from the storage tanks. Milk samples from the vending machines had high levels of total viable count (Log 4.7028 cfu/mL) with 81% of the samples having counts beyond the acceptable standard. High levels of Staphylococcus aureus (Log 2.5485 cfu/mL) were also detected in 51% of the samples. Escherichia coli was detected in 27% of the milk samples from the vending machines, while Salmonella spp. was not detected. There was a significant increase in the number of total viable counts ( P ≤ 0.001 ), Staphylococcus aureus ( P ≤ 0.007 ), and Escherichia coli ( P ≤ 0.015 ) in milk samples from the vending machines compared to samples from the storage tanks. Study findings show that milk from the vending machines in the selected informal settlements of Nairobi is highly contaminated and can pose a health risk to consumers if taken without any further heat treatment. Milk vending machine handlers should be trained on practices that safeguard the quality and safety of milk. Public awareness should also be created on the general safety of milk from vending machines to protect consumers from potential health risks resulting from drinking contaminated milk.

Dietary Interventions to Prevent Childhood Obesity: A Literature Review

Several dietary interventions have been conducted to prevent/reduce childhood obesity, but most of them are known to have failed in tackling the obesity epidemic. This study aimed to review the existing literature on dietary interventions for the prevention of childhood obesity and their effectiveness. A literature search was conducted using PubMed Central®. Only articles published between 2009 and 2021, written in English, conducted in humans, and including children and/or adolescents (<18 years old) were considered. The majority of studies were school-based interventions, with some addressing the whole community, and including some interventions in the food sector (e.g., taxation of high fat/sugar foods, front-of-pack labelling) and through mass media (e.g., restrictions on food advertising for children) that directly or indirectly could help to manage childhood obesity. Most of the programs/interventions conducted focus mainly on person-based educational approaches, such as nutrition/diet education sessions, allied to the promotion of physical activity and lifestyles to students, parents, and school staff, and less on environmental changes to offer healthier food choices. Only a few trials have focused on capacity building and macro-policy changes, such as the adaptation of the built environment of the school, serving smaller portion sizes, and increasing the availability and accessibility of healthy foods and water in schools, and restricting the access to vending machines, for example. Overall, most of the intervention studies showed no consistent effects on changing the body mass index of children; they have only reported small weight reductions, clinically irrelevant, or no effects at all. Little is known about the sustainability of interventions over time.