Computer Developments for Mining Robotics

نویسنده

  • M. L. Maher
چکیده

Extensive research is demanded to solve these problems , and a large portion of that research is already under way. Research activities extend to sensor research, software engineering, theoretical /analytical studies , robot demonstrations , and so on . This paper reports on two efforts, both representative of computer methods studies , which have been directed at the two problem areas noted above and which are associated with the application area of underground mining . One is the development of a prototype data and command system (a software package ) for operating a robotic roof bolter . The second is a study of using an expert system to replace the human operator in one narrow aspect of continuous miner operation . Both studies are small efforts, the first in each case, and represent starting points for further work.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Detection of Breast Cancer Progress Using Adaptive Nero Fuzzy Inference System and Data Mining Techniques

Prediction, diagnosis, recovery and recurrence of the breast cancer among the patients are always one of the most important challenges for explorers and scientists. Nowadays by using of the bioinformatics sciences, these challenges can be eliminated by using of the previous information of patients records. In this paper has been used adaptive nero fuzzy inference system and data mining techniqu...

متن کامل

Intelligent Agents: a Data Mining Perspective

"The future of computing will be 100% driven by delegating to, rather than manipulating, computers." NICHOLAS NEGROPONTE Founding director of the Media Lab at MIT In recent years, agents become a very popular paradigm in computing because of their flexibility, modularity and general applicability to a wide range of problems. Technological developments in distributed computing, robotics and the ...

متن کامل

Persistent K-Means: Stable Data Clustering Algorithm Based on K-Means Algorithm

Identifying clusters or clustering is an important aspect of data analysis. It is the task of grouping a set of objects in such a way those objects in the same group/cluster are more similar in some sense or another. It is a main task of exploratory data mining, and a common technique for statistical data analysis This paper proposed an improved version of K-Means algorithm, namely Persistent K...

متن کامل

Proposed Architecture: Cloud Based Medical Information Retrieval Network

Dr. Kishori Lal Bansal Associate Professor Department of Computer Science Himachal Pradesh University Shimla, India [email protected] Abstract— The latest developments and advancements in the computer science and information technology promise a massive potential that can be harnessed for the improvement of healthcare services especially in the developing countries, this being one of...

متن کامل

Query Architecture Expansion in Web Using Fuzzy Multi Domain Ontology

Due to the increasing web, there are many challenges to establish a general framework for data mining and retrieving structured data from the Web. Creating an ontology is a step towards solving this problem. The ontology raises the main entity and the concept of any data in data mining. In this paper, we tried to propose a method for applying the "meaning" of the search system, But the problem ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2011