Discriminating weight of Cloud Environment in ERP selection assessment

Selection of an ERP, based on its incorporated component parameters, is a significant problem for an industry. A more comprehensive structure of an ERP is a three tier ERP. A cloud database is a cloud computing service. Database has scalability, and makes underlying virtual machine instances to run a database on such virtual machines. Cloud databases which are relational as opposed to non relational or No SQL databases, imply that SQL databases can run in the cloud with a virtual machine or as a service. Cloud computing architecture is a set of components and subcomponents required for cloud computing. A front end platform set like fat client, thin client, mobile device, Back end platforms like servers, storage, a cloud based delivery, A network such as internet, intranet, Inter cloud connectivity setup are a combined blend that together make a Cloud framework. The paper aims to discriminate availing an ERP in Cloud or Non Cloud framework mode and analyzing pros and cons in both modes

Impact of Chatgpt on Industry

Technology is advancing day by day. With this advancement, ChatGPT is one of the most commonly used technologies. ChatGPT has the potential to improve individualized instruction and critical thinking abilities. It has  significant impact in different sectors like healthcare, education, business and work parts. It has the capacity to completely transform the IT sector by accelerating software development and increasing efficiency. It is a generative AI language model that acts conversationally. Providing human-like responses to natural language queries is ChatGPT's main goal. It is a broad technology with benefits across many sectors. It can be used to build chatbots that assist and reply to consumer inquiries, freeing up human customer support agents for more difficult jobs. Because of ChatGPT automation capabilities, some jobs may become out-dated, which could result in unemployment and force people to adjust to new demands. This paper aims to provide an overview of ChatGPT and its effects on industry. The research is carried on data samples of 40 employees of the Mumbai location working in industry. The majority of respondents agreed that due to ChatGPT there is negative impact on employment or job roles.   Technology is advancing day by day. With this advancement, ChatGPT is one of the most commonly used technologies. ChatGPT has the potential to improve individualized instruction and critical thinking abilities. It has  significant impact in different sectors like healthcare, education, business and work parts. It has the capacity to completely transform the IT sector by accelerating software development and increasing efficiency. It is a generative AI language model that acts conversationally. Providing human-like responses to natural language queries is ChatGPT's main goal. It is a broad technology with benefits across many sectors. It can be used to build chatbots that assist and reply to consumer inquiries, freeing up human customer support agents for more difficult jobs. Because of ChatGPT automation capabilities, some jobs may become out-dated, which could result in unemployment and force people to adjust to new demands. This paper aims to provide an overview of ChatGPT and its effects on industry. The research is carried on data samples of 40 employees of the Mumbai location working in industry. The majority of respondents agreed that due to ChatGPT there is negative impact on employment or job roles.   Technology is advancing day by day. With this advancement, ChatGPT is one of the most commonly used technologies. ChatGPT has the potential to improve individualized instruction and critical thinking abilities. It has  significant impact in different sectors like healthcare, education, business and work parts. It has the capacity to completely transform the IT sector by accelerating software development and increasing efficiency. It is a generative AI language model that acts conversationally. Providing human-like responses to natural language queries is ChatGPT's main goal. It is a broad technology with benefits across many sectors. It can be used to build chatbots that assist and reply to consumer inquiries, freeing up human customer support agents for more difficult jobs. Because of ChatGPT automation capabilities, some jobs may become out-dated, which could result in unemployment and force people to adjust to new demands. This paper aims to provide an overview of ChatGPT and its effects on industry. The research is carried on data samples of 40 employees of the Mumbai location working in industry. The majority of respondents agreed that due to ChatGPT there is negative impact on employment or job roles. &nbsp

Wound Healing Evaluation of Some Herbal Formulations Containing Curcuma Longa and Cynodon Dactalon Extract

The wound healing effect of herbal cream formulated with Curcuma longa, and Cynodon dactylon embedded in different ointment bases (anionic, cationic and non-ionic) has been evaluated in vivo using the incision, excision and dead space tissue wound models, on Swiss wister rat. Curcuma longa, and Cynodon dactylon was extracted using Pet ether (60-800C ), chloroform, ethanol, methanol and water. The  methanolic  extract formulated as herbal preparations. The herbal preparations were used to treat wounds inflicted on experimental  Swiss wister rat. The wound healing effects of the formulations were compared to that of a standard antibiotic. In all cases, there was a progressive decrease in wound area with time, indicating an efficacy of the formulations in healing the induced wounds. By the 14th day, the formulation  containing 100 mg/g of Curcuma longa, and Cynodon dactylon in cationic base showed 100 % healing. The wound areas in the animals treated with the standard antibiotic, showed a 100% healing by the 17 th day, indicating that the plant extract, at that given concentration, had a better wound healing property

An Event Based Digital Forensic Scheme for Vehicular Networks

The software in today's cars has become increasingly important in recent years. The development of high-tech driver assistance devices has helped fuel this movement. This tendency is anticipated to accelerate with the advent of completely autonomous vehicles. As more modern vehicles incorporate software and security-based solutions, "Event-Based digital forensics," the analysis of digital evidence of accidents and warranty claims, has become increasingly significant. The objective of this study is to ascertain, in a realistic setting, whether or not digital forensics can be successfully applied to a state-of-the-art automobile. We did this by dissecting the procedure of automotive forensics, which is used on in-car systems to track the mysterious activity by means of digital evidence. We did this by applying established methods of digital forensics to a state-of-the-art car.Our research employs specialized cameras installed in the study areas and a log of system activity that may be utilized as future digital proof to examine the effectiveness of security checkpoints and other similar technologies. The goal is to keep an eye on the vehicles entering the checkpoint, look into them if there is any reason to suspect anything, and then take the appropriate measures. The problem with analyzing this data is that it is becoming increasingly complex and time-consuming as the amount of data that has been collected keeps growing. In this paper, we outline a high-level methodology for automotive forensics to fill in the blanks, and we put it through its paces on a network simulator in a state-of-the-art vehicle to simulate a scenario in which devices are tampered with while the car is in motion. Here, we test how well the strategy functions. Diagnostics over IP (Diagnostics over IP), on-board diagnostics interface, and unified diagnostic services are all used during implementation. To work, our solution requires vehicles to be able to exchange diagnostic information wirelessly.These results show that it is possible to undertake automotive forensic analysis on state-of-the-art vehicles without using intrusion detection systems or event data recorders, and they lead the way towards a more fruitful future for automotive forensics. The results also show that modern autos are amenable to forensic automotive analysis

DC Conductivity Study of Cadmium Sulfide Nanoparticles

The dc conductivity of consolidated nanoparticle of CdS has been studied over the temperature range from 303 K to 523 K and the conductivity has been found to be much larger than that of single crystals