Sentiment analysis is an important research topic in the realization of human-computer interaction. It can play an important role in discovering social public opinion, analyzing stock markets, improving products and services, and assisting medical assistance. Early sentiment analysis mostly focused on emotion recognition in texts. With the rapid development of the Internet and the rise of short video social media platforms such

as TikTokand Kwai, a single text can no longer satisfy people’s

emotional expression media. More and more people gradually begin to express their emotions and opinions through multi-modalities such as voice or video.Compared with the sentiment analysis that only focuses on single-modal information such as text, multi-modal sentiment analysis can make full use of the emotional cues between the single modalities to complement each other, thereby more accurately identifying the user's emotional tendency. This is the primary motivation behind our first of its kind,comprehensive literature review of the diverse field of affective computing.Furthermore, existing literature surveys lack a detailed discussion of state of the art in multimodal affect analysis frameworks, which this review aims to address.We starts from the various steps of multi-modal sentiment analysis and analyzes the  technology and current situation of multi-modal sentiment analysis in detail

Man is said to be a frugivorous and a frugivorous human is generally defined as one that lives on fruits. There are many reasonins for according pre eminent position to fruits. Eating fruits provides health benefits people who eat more fruits   and vegetables as part of an overall healthy diet are likely to have a reduced risk of some chronic diseases. Fruits provide    vital nutients for health and maintenance of body. Fruits are full of all nurtients most fruits are naturally low in fat, sodium and calorie. Pineapple   belongs to the order Bromeliales, family Bromeliaceae, subfamily Bromeliaceae, Pineapple is used as food as well a   medicine also. Pineapple contains vitamins such as   vitamin    A, B1, B2, Niacin, vitamin C                                                             and chlorine. Pineapple is great  source of antibacterial                                          Bromelian is anty inflammatory. The use of this fruit is valuable in  arthritis and rheumatic affiliations. Fresh pineapple juice reduce the swelling & inflammation both in osteoarthritis and rheumatoid arthritis, an  exclusive diet of fresh pineapple juice for few  days, and  repeated at regular  intervals, will help in relieving symptoms of these diseases.Pineapple and its compounds have been linked to many health benefits, including aiding digestion, boosting immunity and  speeding up recovery from surgery, among others.

Reinforced concrete structures have not been immune to the ravages of corrosion despite the protection that concrete provides to embedded steel. Since steel corrosion remains unnoticed inside the concrete, it further accelerates and can cause loss of life and property. This report discusses the results on deterioration caused to reinforced beams due to corrosion at different levels. Five RC beams (127 x 227 x 4100) mm were casted, four of which were corroded to different levels i.e. (6 days, 12 days,18 days & 28 days) by impressed current technique, while one remain as control beam. All four beams were visually inspected at the end of their respective corrosion period for the extent of damage in the RC beams, with the increase in age of corrosion. Each beam was tested under static four-point loading and corresponding loads and deflections were recorded. The results of this experiment clearly show that there is a decrease in load carrying capacity, deflection capacity and stiffness with the increase in age of corrosion. Most importantly it was noticed that as corrosion increased the failure mode of beams shifts from predictable ductile failure to brittle failure. After the destructive testing, reinforcement was retrieved from the beams by dismantling and then cleaned to find the mass loss. The results show that there was an increase in mass loss in the reinforcement with the increase in corrosion level.

In India a countless number of children are reported missing every year. Among the missing child cases a large percentage of children remain untraced. This paper presents a novel use of deep learning methodology for identifying the reported missing child from the photos of multitude of children available, with the help of face recognition. The public can upload photographs of suspicious child into a common portal with landmarks and remarks. The photo will be automatically compared with the registered photos of the missing child from the repository. The Convolutional Neural Network (CNN), a highly effective deep learning technique for image based applications is adopted here for face recognition. Face descriptors are extracted from the images using a pre-trained CNN model VGG-Face deep architecture.