OUR INDIAN SHOP – E-Commerce Website Interconnecting the Farmers, Shopkeepers, Delivery Personnel and Consumers

A system named ‘Our Indian Shop’ has been developed and presented in this paper. This system involves an android application, a website and an IVR system for online selling and delivery of agricultural products from farmers to the consumers directly at the market price without the involvement of any middleman. It provides facilities of online shopping of essentials from consumers’ nearby shops as the delivery options will be localized according to pin code to lower the risks of spreading of Covid-19. It also supports selling of groceries, vegetables, and medicines by relevant shop owners directly to the consumers. It enhances the employment as delivery personnel for economically backward people or daily wagers who have lost their livelihood due to the pandemic. The IVR system is to be provided to make all the above facilities available in the offline mode for technologically backward classes, for efficient working of the system in a digital divide environment. The prime objective of this development is to promote social distancing and provide efficient technical solutions for sustainability in the post pandemic world. Our Indian Shop is an all in one platform which provides the online facilities of shopping and selling as well as it will help to enhance the employment and prevent the brokerage charges.

Impact of Nanotechnology on Environment – A Review

The world is facing significant environmental challenges like improving the standard of air, soil, and water. Currently, industry is that specialize in detecting pollutants (from chemical spills, fertilizer and pesticide run-off), improving industrial and mining sites, treating contaminants and stopping further pollution. A potential solution to those problems is to use nanomaterials. Nanomaterials are often wont to assist with cleaning the environment and even provide efficient energy solutions, like nanomaterial based solar cells additionally to the present, nanomaterials help to enhance the standard and performance of the many consumer products. As results of this, the exposure to made nanomaterials is increasing day-by-day. However, there are both positive and negative impacts on the environment thanks to nanotechnology.Recent advances in nanotechnology have shown numerous societal benefits through the event or improvement of smart materials. Several engineered nanomaterials (ENMs) are produced during the last years which will be found in related sectors like health, food, home, automotive, electronics, and computers (Hansen et al., 2016). The estimated output of ENMs produced was up to 270,000 metric tons/year and during this case considering only SiO2, TiO2, FeOx, AlOx, ZnO, and CeO2 nanoparticles.

An Overview of Post-COVID-19 Patient’s Health Monitoring Systems

COVID-19 is a global pandemic infecting human life. There are many patients who have recovered from this deadly virus and need to be monitored constantly even when they are at home. IoT plays a vital role in health systems that help to monitor patient’s health conditions. These healthcare frameworks consist of smart sensors to keep a track of patient’s vitals on a real-time basis. These systems will help bridge gaps between the patients and doctors during the pandemic situation. In order to make our system competitive against the already existing devices, we prepared a comprehensive review where we extensively studied other products and compared them to find what's best for the patients.

Medical Image Segmentation by Fish Schooling Algorithm and Neural Network

Medical image diagnosis by machine decrease the doctor load and increases the efficiency of treatment as well. Many of diagnosis process depends on chemical data and some are depend on digital images. This work focus on brain tumor medical image diagnosis by segmenting the tumor region in the image. For tumor detection neural network was trained by the model. Selected features extract from the image by fish schooling genetic algorithm for training of neural network It was obtained that fish schooling based genetic feature selection has increases the detection accuracy of trained model. Experiment was done on real dataset and results compared with existing techniques of tumor detection from MRI images.

An Enhanced Technique to discover web data extraction and Data mining in Multi Cloud Server

Data mining is a critical stage in the Knowledge Discovery process acquire from databases (KDD), thus a new approach that’s can joint with online data process of extraction, which serves as data gathering from the global network ( web), and data mining techniques is required.The primary contribution of this study is the proposal of a system for collecting categorical online data on several cloud servers while ensuring data security and integrity for consumers. The algorithms' effectiveness employed inside our technique is illustrated using clustered sections of the data that should be encrypted inside the cloud server combining the three clustering measurements precision, recall, and accuracy. We proposed KeyGen algorithm to maintain data security by using cryptographic concepts with respective ABE (attribute-based encryption) and cypher text policy (cypher text policy) are two types of attribute-based encryption (CP-ABE).

Adulteration of Fruits

Adulteration is described as the addition of any substance to food OP in order to alter its natural composition and quality in order to boost its economic worth. Fruit is the fleshy or dry ripening ovary of a flowering plant that carries seed or seeds. As a result, apricots, bananas, grapes, maize grain pods, tomatoes, cucumbers, corns, and almonds (in their shells) are all classified as fruits. In common usage, however, the term refers to ripened ovaries that are tasty and either succulent or pulpy. Dietary fiber, vitamins, and antioxidants are abundant in fruits. Fresh fruits can be kept fresh for longer by refrigerating them or removing oxygen from their storage or packaging. Dehydrated fruits can be made into juices, jams, and jellies

The Product and the Manufacturing of Yoghurt

Yogurt, often known as yoghurt, is one of the most popular fermented dairy products in the world, with a wide range of health advantages in addition to basic nutrition. In general, yogurt is a nutrient-dense food because of its nutritional profile, and it is a high-calcium source that supplies considerable amounts of calcium in bio-available form. Furthermore, it contains milk proteins with a higher biological value as well as nearly all of the essential amino acids required for optimal health. Yogurt is a probiotic carrier food that may transfer large numbers of probiotic bacteria into the body, providing unique health benefits if consumed. These are commonly referred to as "bio-yogurts." Yogurt is also said to help with lactose tolerance, immunological boosting, and the prevention of gastrointestinal problems. Consumer demand for yogurt and yogurt-related products has surged as a result of these well-known health benefits, and it has become the fastest-growing dairy category in the world. Yogurts are currently available in a variety of styles and variations, each with its own fat content, flavor profile, and texture, making them suited for a variety of meal settings and plates as a snack, dessert, sweet or savory dish.

Multivariate approach to determine the ecological preferences of phytoplankton in Uppanar estuary, southeast coast of India

In the present study, the phytoplankton diversity and distribution was studied in relation seasonal variation of environmental parameters in the Uppanar estuary. Samples were seasonally collected (i.e., pre-monsoon: July-2018 and summer: June-2019) from six stations. A total of 62 phytoplankton species belonging to three classes, 20 orders, 26 families and 36 genera were and among the three phytoplankton taxa, diatoms topped the list with 41 species followed by Dinoflagellates (17 species) and blue green algae (4 species). The maximum number of phytoplankton species (36) and diversity value (H’) 3.976 was recorded in the stations near river mouth (UE-6) during summer and minimum species number (21) and maximum species richness (d) 6.923 was recorded in stations close to industrialr zone (UE-1) during monsoon. The maximum species evenness (J') 0.928 was recorded at stations near river mouth (UE-6). BIO-ENV (Biota-Environmental matching) and CCA results confirmed that the environmental parameters such as Dissolved oxygen, Turbidity, Salinity, Water pH, Chlorophyll, Silicate, TN and TP as best match (ρω = 0.968) in determining phytoplankton distributions. The results of present study helps to develop an understanding on the phytoplankton distribution based on physico-chemical parameters, which will form a reliable tool in bio-monitoring studies.