The transition from large data stacks obtained as a result of rapid development in computer technologies to meaningful information is only possible with data mining and statistics. In this study, a model has been developed to provide early fault detection and vehicle maintenance needs by using instant data obtained from Caterpillar Inc. construction vehicles. With the Early Warning System, primarily, the selected sensor data coming from the satellite related to the vehicles is used to predict the failure possibility of the vehicles in a certain time ahead remotely by using the methods of machine learning and using the internet of things and cloud technology. Then, prediction data are integrated into decision-making mechanisms in business processes. Finally, the information acquired by using data visualization technologies is made available for being reported and made traceable through summary data. The location of data mining on machine learning is illustrated by the necessary algorithms. In order to determine the correct fault in accordance with the data obtained from the sensors of the machines the gradient boosting, logistic regression and C5.0 algorithm is used. From the results obtained, the gradient boosting algorithm produced the best training results for all categories, while for the test data, the gradient boosting algorithm produced the best results for the categories C1000 and C3000, and logit regression for the C3030, C5070 and C5459 categories. The focus of the personalized product mentioned by Industry 4.0, the system developed in this study, can be easily adapted to the operation of different machines.

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Background: Soft-tissue sarcomas may develop in the retroperitoneal space, in the peritoneal cavity and in the lower extremities. They are rare tumors, and make up 1% of all adult malignancies. Complete resection of the tumor is of crucial importance to achieve a long-term survival. Multivisceral resections are required in the majority of cases. Mucinous cystadenoma of the appendix is an uncommon condition, too. Most of the patients with mucinous cystadenoma present with clinical symptoms of acute appendicitis. The diagnosis is usually made postoperatively by histopathological examination. Case Report: We here present a rare co-existence of a retroperitoneal liposarcoma and an appendiceal mucinous cystadenoma. Conclusion: En bloc resection of retroperitoneal soft-tissue sarcomas also provides removal of invaded adjacent organs with any co-existing disease.

Together with the meaning and essence of data for the company nowadays; The variety of data also differs. One of these differentiating data types is sound. Borusan Makina ve Güç Sistemleri A.Ş. the data obtained from the Caterpillar construction machines of. The machine sound gives clues about many malfunctions. Artificial intelligence systems of the heard sound will be integrated into business processes. Every tone can be converted. With this, the properties and estimates of the sound grids are used. In this direction; While the incident is getting in the way of his business, an unfortunate project occurs with a similar visitor. The traditional will use a meaningful method by listening to the producer's sound and technology and innovation to develop easy blueprints of decisions that cannot be diverted to sound data. Thanks to the real-time model with short-term audio recording, it is instantly predicted whether there is a problem in the machine. Free from personal and technical comments; By examining the patterns of sound waves, it is aimed to be made without cancellation.