In recent decades, the Internet of Things (IoT) has grown rapidly, attracting the attention of scientists and businesspeople. In extreme conditions, autonomously scattered sensor nodes pose a high risk of failure and intrusion into the IoT, skewing sensor values. Abnormal data, anomalies, or outliers are sensor values that depart from norms. When abnormalities are factored into data analytics, the ultimate judgment is affected. Using data-driven algorithms for IoT outlier detection is a cutting-edge tactic in Machine Learning (ML). However, evaluating the effectiveness of implemented ML techniques for outlier detection in IoT, which have the minimal processing power and power sources to ensure data quality, raises several difficulties that have just recently begun to be addressed in the academic literature. This paper analyses the cutting-edge architecture, type, degree, technique, and detection mode of AI and statistical outlier detection strategies in IoTs. Also, each of the ways to find outliers is talked about in detail, along with ways to make them better.

Vitamin C in different citrus juice samples were investigated; Citrus Limon, Citrus reticulate, Citrus paradise, and Citrus sinensis. Iodine titration was utilized for the determination of vitamin C in the different samples. The highest amount of vitamin C concentration observed in Citrus sinensis was 95 mg / 100 ml whereas Citrus reticulate showed low levels of 82 mg / 100 ml. The same tendency was observed in packed citrus juice, with the effect of cold temperature as though the content of vitamin C was less than in fresh citrus juice. Results revealed that; there is a loss of vitamin C content in all four storage conditions (days), Vitamin C reduces differently in citrus juice samples stored in different conditions. On the Fourth day Table 1. The rate at which vitamin C is lost depends on the temperature and time methods employed. It has been found that the hot environment provides the conditions for fast decay of vitamin C content and the room environment provides the conditions for slow decay of vitamin C content. In present analyzed samples values are different because of the fact that the composition of content vitamin c depends upon environmental factors. Hence it is always suggested to consume fresh juice rather than packed and stored one.

Equal Channel Angular Pressing (ECAP) is the most promising material processing technique involving severe plastic deformation, and has been extensively employed and analysed. The aim of this work is to examine the influence of ECAP on the behaviour of Lead alloy. The technique was applied to Lead alloy at room temperature using route C, at channel angles of 450, 600, 750, 900 and 1050. The materials were processed up to five ECAP passes. Hardness test, impact test, and microstructural changes of the processed materials were examined. Results show that extrusion force reduces as the strain level increases and that dynamic recrystallization and structural changes reduce the material hardness for all angles of ECAP. All the angles absorbed their least amount of energy at their 5th pass. Analysis of microstructure images also revealed that increasing the strain level leads to break down and dissolution of Antimony rich precipitate.

Flash floods are known to be most dangerous flood. In recent decades there is change in the climate and urban development causing increase in the risk of flash flood for human population. Remote sensing and geographical information system playing a very important and feasible role in assessment of the flash flood over a decade. This paper describes the synergetic use of Synthetic-aperture radar (SAR) data to delineate and mapping of the flooded area at its peak. The methodology was tested on the flash flood event that occurs in Jhajjar and Rohtak districts of Haryana in July, 2022. Four Sentinel-1 Synthetic-aperture radar data were acquired and pre-processed, two images are acquired before the occurrence of the event and two SAR images were acquired after the event. For the identification and demarcation of the flooded area, the rule-based classification approach was used. The results of the study suggests the scope of using multi-temporal Sentinel-1 VV polarized C-band SAR data to develop an operational flash-flood area identification and framework.

Technological advancements from the dawn of the age of the computer to the beginning of the age of the internet, have all created easier and more efficient ways of criminal investigation. Police departments throughout the United States and in other countries now have ways to easily store and share information and eliminate problems that traditional paper records posed. In the case of difficulty in extracting orientation images reliably, a general-purpose approach improving local image contrast is favored. Today time with the increase in population crime increases day by day, and Police Department have over loaded work. To decrease the crime and to identify the theft and criminal, we try to make a new age safety system in which detect the theft by matching his /her Foot finger prints with Hand finger prints. Because due to plastic surgery sometimes criminal change their identity, and protect them self from punishment. In this work fingerprint and foot finger prints are recognized with the help of minutia because the minutia is the one element of the footprint and fingerprint that helps to find the matching with same and different persons.