Developing Integrated Smartphones Notification of Server Resource Monitoring System Using Zabbix, Webhook, and Telegram

Server monitoring activities are important to ensure the availability of resources used for the execution of its internal processes. Generally, Administrators monitor the use of server resources through a computer using a browser. The problem with monitoring through a computer is less flexible and slow for checking notifications about the state of problem server resources in real-time anytime and anywhere using smartphones. This study aims to develop notification integration on smartphones from a server resource monitoring system using Zabbix Webhook and Telegram. The research method used is the Cisco PPDIOO Lifecycle Approach to Network Design and Implementation. As a case study, it is located at the Center for Empowerment of Informatics and Nuclear Strategic Area, the National Nuclear Energy Agency. The results of the study are notifications on smartphones via the Telegram bot account indicating a problem with resource usage. The results of this study have been used by server Administrators. The server Administrators have provided information about the benefits of this system, for flexibility, speed of getting information in resource usage, identifying, and resolving problems before there are complaints so that the quality of service is getting better.

Numerical Simplification and its Effect on Fragment Distributions in Genetic Programming

<p>In tree-based genetic programming (GP) there is a tendency for the program trees to increase in size from one generation to the next. If this increase in program size is not accompanied by an improvement in fitness then this unproductive increase is known as bloat. It is standard practice to place some form of control on program size. This can be done by limiting the number of nodes or the depth of the program trees, or by adding a component to the fitness function that rewards smaller programs (parsimony pressure) or by simplifying individual programs using algebraic methods. This thesis proposes a novel program simplification method called numerical simplification that uses only the range of values the nodes take during fitness evaluation. The effect of online program simplification, both algebraic and numerical, on program size and resource usage is examined. This thesis also examines the distribution of program fragments within a genetic programming population and how this is changed by using simplification. It is shown that both simplification approaches result in reductions in average program size, memory used and computation time and that numerical simplification performs at least as well as algebraic simplification, and in some cases will outperform algebraic simplification. This reduction in program size and the resources required to process the GP run come without any significant reduction in accuracy. It is also shown that although the two online simplification methods destroy some existing program fragments, they generate new fragments during evolution, which compensates for any negative effects from the disruption of existing fragments. It is also shown that, after the first few generations, the rate new fragments are created, the rate fragments are lost from the population, and the number of distinct (different) fragments in the population remain within a very narrow range of values for the remainder of the run.</p>

Numerical Simplification and its Effect on Fragment Distributions in Genetic Programming

<p>In tree-based genetic programming (GP) there is a tendency for the program trees to increase in size from one generation to the next. If this increase in program size is not accompanied by an improvement in fitness then this unproductive increase is known as bloat. It is standard practice to place some form of control on program size. This can be done by limiting the number of nodes or the depth of the program trees, or by adding a component to the fitness function that rewards smaller programs (parsimony pressure) or by simplifying individual programs using algebraic methods. This thesis proposes a novel program simplification method called numerical simplification that uses only the range of values the nodes take during fitness evaluation. The effect of online program simplification, both algebraic and numerical, on program size and resource usage is examined. This thesis also examines the distribution of program fragments within a genetic programming population and how this is changed by using simplification. It is shown that both simplification approaches result in reductions in average program size, memory used and computation time and that numerical simplification performs at least as well as algebraic simplification, and in some cases will outperform algebraic simplification. This reduction in program size and the resources required to process the GP run come without any significant reduction in accuracy. It is also shown that although the two online simplification methods destroy some existing program fragments, they generate new fragments during evolution, which compensates for any negative effects from the disruption of existing fragments. It is also shown that, after the first few generations, the rate new fragments are created, the rate fragments are lost from the population, and the number of distinct (different) fragments in the population remain within a very narrow range of values for the remainder of the run.</p>

Assessing Retail Biomass Electricity Efficiency in Japan: Focus on Average Cost and Benefit

Biomass utilisation has been one of the most pertinent topics in the field of sustainability. An example of biomass resource usage is renewable electricity (REL) using bioresources (Bio-REL). Although Bio-REL is widely disseminated globally, existing research suggests that it may be less economically efficient than other REL sources. The cost of Bio-REL has not changed in recent years, but the cost of solar or photovoltaic (PV) REL has been significantly reduced. Some studies also assert that retail Bio-REL is preferred less than PV-REL. As this is not well established in the literature, this study analysed the average levelised costs of energy (LCOE) and preferences for retail Bio-REL and PV-REL while focusing on the case of Japan. The results indicate that the average LCOE of retail Bio-REL was 1.4 times greater than that of PV-REL, while the willingness to pay (WTP) for Bio-REL was about half. The analysis has considerable relevance for countries other than Japan with comparative cost and preference for both REL sources. The research raises an important issue regarding the efficiency of the strategy of REL dissemination and proposes that a comprehensive economic analysis of the social benefits of Bio-REL be conducted.

The impact of an enhanced recovery programme on length of stay and post-discharge resource usage following hip and knee arthroplasty

Aims The aim of this study is to assess the impact of a pilot enhanced recovery after surgery (ERAS) programme on length of stay (LOS) and post-discharge resource usage via service evaluation and cost analysis. Methods Between May and December 2019, 100 patients requiring hip or knee arthroplasty were enrolled with the intention that each would have a preadmission discharge plan, a preoperative education class with nominated helper, a day of surgery admission and mobilization, a day one discharge, and access to a 24/7 dedicated helpline. Each was matched with a patient under the pre-existing pathway from the previous year. Results Mean LOS for ERAS patients was 1.59 days (95% confidence interval (CI) 1.14 to 2.04), significantly less than that of the matched cohort (3.01 days; 95% CI 2.56 to 3.46). There were no significant differences in readmission rates for ERAS patients at both 30 and 90 days (six vs four readmissions at 30 days, and nine vs four at 90 days). Despite matching, there were significantly more American Society of Anesthesiologists (ASA) grade 3 patients in the ERAS cohort. There was a mean cost saving of £757.26 (95% CI £-1,200.96 to £-313.56) per patient. This is despite small increases in postoperative resource usage in the ERAS patients. Conclusion ERAS represents a safe and effective means of reducing LOS in primary joint arthroplasty patients. Implementation of ERAS principles has potential financial savings and could increase patient throughput without compromising care. In elective care, a preadmission discharge plan is key. Cite this article: Bone Jt Open 2021;2(11):966–973.