Quantum gravity effects on Ho\v{r}ava-Lifshitz black hole

In this paper, we would like to obtain quantum gravity effects by using Ho\v{r}ava-Lifshitz black hole. We consider logarithmic corrected thermodynamics quantities and investigate the effects of logarithmic correction term. Logarithmic correction comes from thermal fluctuation and may be interpreted as quantum loop corrections. As black hole is a gravitational system, hence we can investigate quantum gravity effect. We find such effects on the black hole stability and obtain domain of correction coefficient.Comment: 22 pages, Accepted for publication in NP

Knowledge and agent-based system for decentralised scheduling in manufacturing

The aim of the research paper is to develop algorithms for manufacturers’ agents that would allow them to sequence their own operation plans and to develop a multi-agent infrastructure to allow operation pair agents to cooperatively adjust the timing of manufacturing operations. The scheduling problem consisted of jobs with fixed process plans and of manufacturers collectively offering the necessary operations for the jobs. Manufacturer agents sequenced and pair agents timed each operation as and when required. Timing an operation triggered a cascade of conflicts along the job process plan that other pair agents would pick up on and would take action accordingly. The conventional approach performs conflict resolution in series and manufacturer agents as well as pair agents wait until they are allowed to sequence and time the next operation. The limiting assumption behind that approach was systematically removed, and the proposed approach allowed manufacturers to perform operation scheduling in parallel, cutting down tenfold on the computation time. The multi-agent infrastructure consists of the Protégé knowledge base, the Pellet semantic reasoner and the Workflows and Agent Development Environment (WADE). The case studies used were the MT6, MT10 and LA19 job shop scheduling problems; and an industrial use case was provided to give context to the manufacturing environment investigated. Although there were benefits from the decentralised manufacturing system, we noted an optimality loss of 34% on the makespans. However, for scalability, our approach showed good promise

Towards decentralised job shop scheduling as a web service

This paper aims to investigate the fundamental requirements for a cloud-based scheduling service for manufacturing, notably manufacturer priority to scheduling service, resolution of schedule conflict, and error-proof data entry. A flow chart of an inference-based system for manufacturing scheduling is proposed and a prototype was designed using semantic web technologies. An adapted version of the Muth and Thompson 10 × 10 scheduling problem (MT10) was used as a case study and two manufacturing companies represented our use cases. Using Microsoft Project, levelled manufacturer operation plans were generated. Semantic rules were proposed for constraints calculation, scheduling and verification. Pellet semantic reasoner was used to apply those rules onto the case study. The results include two main findings. First, our system effectively detected conflicts when subjected to four types of disturbances. Secondly, suggestions of conflict resolutions were effective when implemented albeit they were not efficient. Consequently, our two hypotheses were accepted which gave merit for future works intended to develop scheduling as a web service. Future works will include three phases: (1) migration of our system to a graph database server, (2) a multi-agent system to automate conflict resolution and data entry, and (3) an optimisation mechanism for manufacturer prioritisation to scheduling services

Ontology-based decision tree model for prediction in a manufacturing network

This paper aims to create a predictive model, which will assist in the allocation of newly received orders in a manufacturing network. The manufacturing network, which is taken as a case study in this research, consists of more than 300 small manufacturing enterprises with a central company as the project managing integrator. The methodology presents the mapping of a PROSA (Product-Resource-Order-Staff Architecture) based ontology model on a decision tree, which was created with the Waikato Environment for Knowledge Analysis (WEKA) application. Furthermore, the methodology also demonstrates the formulation of the Semantic Web Rule Language (SWRL) rules from the WEKA decision tree with the help of MATLAB programming. The paper validated the result generated by the ontology model with the results of the decision tree model

Epidemiology and short-term mortality in traumatic patients admitted to Shariati Hospital in Iran between 2012 and 2013

Purpose Trauma is an inevitable part of the health burden in every country. Both the preventive and rehabilitative aspects of traumatic injuries are expensive. Since most of the injuries happen in low- and middle-income developing countries, a judicious allocation of the limited resources to the most cost-efficient strategies is necessary. The present study was designed to report the causes of trauma, injured body regions, trauma severity scores and the one year survival rate of a randomly selected sample of trauma patients in a major referral hospital in Tehran, Iran. Methods We chose and analyzed a random subgroup of traumatic patients admitted during the one-year period of May 2012 to May 2013 to Shariati Hospital, a major University Teaching Hospital in Tehran, Iran. Patients who stayed at the hospital for less than 24 h were excluded. In total, 73 traumatic patients were registered. The mean age was (40.19 ± 20.34) years and 67.1 of them were male. Results In general, the most common cause of injury was falls (47.9), followed by road traffic crashes (RTCs, 40.8). Assault and exposure to inanimate mechanical forces each were only associated with 5.6 of all injuries. The only cause of injury in ages of more than 65 years was fall. The most common cause of injury in ages between 15 and 45 years was RTCs. During the study, two deaths occurred: one was at ICU and the other was at home. The most commonly injured body region was the head (23.8), followed by the elbow and forearm (19), hip and thigh (15.9), and multiple body regions (14.3). The mean abbreviated injury score was 2.23 ± 1.02; injury severity index was 7.26 ± 7.06; and revised trauma score was 7.84, calculated for 38 patients. Conclusion Prevention strategy of traumatic injury should focus on falls and RTCs, which are respectively the most common cause of trauma in older aged people and young males. © 2015 Production and hosting by Elsevier B.V