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According to the present communication system one of the main concerns is secured transformation of data. In this paper we be inclined to propose a two-level encryption in this paper in the first level encryption we use the multiplicative ciphers and Cesar cipher in this level the plain text letters, we shall multiply the key numbers in this level and the second layer encryption we use periodic table exploitation the properties if the quality table, and thus use it for encrypting and decrypting in the same manners. For the information of network security in the second level encryption we will differently types of periodic table properties like atomic no, mass no, IUPAC name, chemical formula, and their properties.

We describe the case of an 81 year old gentleman who presented after a trivial fall with haemodynamic instability and worsening abdominal pain and swelling. An initial trauma CT identified superior and inferior pubic rami fractures associated with a large intra-pelvic collection. A subsequent CT angiogram confirmed a large pelvic haematoma with an active arterial bleeding from a ruptured vessel adjacent to the superior pubic rami fracture. This was managed by resuscitating him with fluids and blood transfusions followed by fluoroscopic guided Internal Iliac artery embolisation. The “Corona Mortis” is an aberrant arterial connection between the inferior epigastric artery and obturator artery and is prevalent in the hemipelvis of more than 49.3% of the population. Very rarely it can be damaged during low energy pubic rami fractures leading to haemodynamic compromise and potential death. For this reason and the fact there is a high chance that it could be missed, we wish to highlight this case, and management and emphasise the need to consider this life-threatening complication even in cases when the mechanism of injury may seem trivial.

Wind speed (WS) and air temperature are a concern for solar power generation PV industry and policy makers. This causes reduction in direct normal irradiance (DNI) and in turn increases the uncertainty in solar power plant (SPP) output. Therefore, for proper unit commitment and efficiently operating SPP, solar radiation should be properly calibrated. In this work, a detailed study has been performed on combined effect of the wind speed and air temperature on performance of SPP having the different panel types. The monocrystalline (C-si)-type module and multi-crystalline (MC-si)-type module are analysed in this study for Tucson, USA. A 140 W solar panel of area 1.26 m2 of an SPV panel with 72 cells in series and single string in parallel has been designed and simulated in pvlib-python environment. The aim of this study is to analyse the behaviour of wind speed and air temperature at a location operating SPV system for maximum output. This analysis will help PV industry to know the uncertainty in performance of the PV plant with respect to change in wind speed and air temperature.

In cricket, particularly the twenty20 format is most watched and loved by the people, where no one can guess who will win the match until the last ball of the last over. In India, The Indian Premier League (IPL) started in 2008 and now it is the most popular T20 league in the world. So we decided to develop a machine learning model for predicting the outcome of its matches. Winning in a Cricket Match depends on many key factors like a home ground advantage, past performances on that ground, records at the same venue, the overall experience of the players, record with a particular opposition, and the overall current form of the team and also the individual player. This paper briefs about the key factors that affect the result of the cricket match and the regression model that best fits this data and gives the best predictions. Cricket, the mainstream and widely played sport across India which has the most noteworthy fan base. Indian Premier League follows 20-20 format which is very unpredictable. IPL match predictor is a ML based prediction approach where the data sets and previous stats are trained in all dimensions covering all important factors such as: Toss, Home Ground, Captains, Favorite Players, Opposition Battle, Previous Stats etc, with each factor having different strength with the help of KNIME Tool and with the added intelligence of Naive Bayes network and Eulers strength calculation formula.