Online algorithm

Khepera Mobile Robots for Search and Rescue Operation Keywords: Mobile Robot, Explore Unknown Map with Obstacles, Gas Detection, V- rep, Khepera III, Albers Algorithm. Abstract: Nowadays, using robots instead of humans in risk operations is an interesting point in the field of robotics. In this paper we introduce an integrated approach for search and rescue operation of detecting gas sources in large areas; e.g. houses, factories, and labs. This aims at saving people’s lives at bottlenecks resulting

Keywords: Mobile Robot, Explore Unknown Map with Obstacles, Gas Detection, V- rep, Khepera III, Albers Algorithm. Abstract: Nowadays, using robots instead of humans in risk operations is an interesting point in the field of robotics. In this paper we introduce an integrated approach for search and rescue operation of detecting gas sources in large areas; e.g. houses, factories, and labs. This aims at saving people’s lives at bottlenecks resulting from gas leak and ignition of fires. Experiment is

Discussion Board 1 Ryan Cherry BUSI 650 – Operations Management January 18, 2015 Key Concept Explanation The concept of a “job shop” as a transformation system, refers to a process which has a somewhat jumbled flow, high flexibility, and outputs which are processed differently (Lyons, Vidamour, Jain, & Sutherland, 2013). One of the most important aspects of the job shop which must be understood relates to the definition presented above. Managing a job shop is difficult because of the numerous

Case 2. When u belongs to some cluster C, and v is not present in any cluster. In this case add v to cluster C. If the cluster size of C exceeds the maximum cluster size threshold then split the graph into 2 partitions, using e.g. Kernighan Min Cut algorithm. Case 3. When u is not present in any cluster and v is present in some cluster in C. The

General Approaches for Feature Selection There are 3 types of approaches for feature selection namely filter, wrapper, embedded method. Filter method: Filter method does not involve a learning algorithm for measuring feature subset [6]. It is fast and efficient for computation .filter method can fail to select the feature that are not beneficial by themselves but can be very beneficial when unite with others. Filter method evaluates the feature by giving ranks to their evaluation value. In filter

A Survey on Sentiment Analysis and Opinion Mining Abstract- This survey reviews the recent progress in the field of sentiment analysis with the focus on available datasets and sentiment analysis techniques. Since many exhaustive surveys on sentiment analysis of text input are available, this survey briefly summarizes text analysis techniques and focuses on the analysis of audio, video and multimodal input. This survey also describes different available datasets. In most of the work datasets are

The first paper proposed a proactive push scheme based on the HTTP/2 server-push feature, the second paper, on the other hand, improved the push method from fixed numbers into adaptive numbers based on multiple factors. In this section, we will compare two outstanding papers with different parameters in the following four metrics: (a) Number of requests The definition of number of requests is the total number of HTTP requests sent by the client during the streaming of the video. This metric measures

Computer Engineering would be a logical amalgamation of my abilities and interests. During my four-year undergraduate course, the curriculum opened the doors to a treasure house of knowledge, and I found myself enticed by courses on Data Structures, Algorithms, and Object Oriented Programming. Also, being confronted by many algorithmic challenges during lectures and through my participation in coding, I realized the impact that a few lines of code could have in making our daily life smoother, and in helping

unification of operating systems and context-free grammar. LactylMuset, our new heuristic for perfect archetypes, is the solution to all of these grand challenges. The disadvantage of this type of method, however, is that the foremost large-scale algorithm for the exploration

ABSTRACT This technical paper consists of the study of data mining algorithm in cloud computing. Cloud Computing is an environment created in user’s machine from online application stored in clouds and run through web browser. Therefore, it is essential to manage user’s data efficiently. Data mining also known as knowledge discovery is the process of analyzing data from different perspectives and summarizing it into useful information where the information can be used to increase revenue, cut costs