Implementation SEMAR-IoT-Platform for Vehicle as a Mobile Sensor Network

With the rapid development of IoT technology in various fields such as smart cities and industry 4.0, the need for wireless sensor network-based systems has increased, one of which is the concept of using a vehicle as a mobile sensor network or known as VaaMSN. Many developers use the IoT platform as a cloud computing service in developing the VaaMSN system. However, not all IoT platform service providers provide monitoring features on every device and provide information such as device location, purpose, condition. Therefore, this research aims to develop an IoT Platform that can receive data and provide information on each device, making it easier to process data and control devices. Therefore, this research aims to develop an IoT platform called the SEMAR-IoT-Platform that able to received data and provide information on each device for easier data processing and control devices. The SEMAR-IoT-Platform integrates Big Data, Data Analytics, Machine Learning, using the principles of Extract, Transfer, and Load (ETL) for data processing and provides communication services using HTTP-POST, MQTT, and NATS. The test results show that the system has been successfully implemented to complement a simple IoT system with an average delay time of HTTP, NATS, and MQTT communications of less than 150ms for the data storage process, and for the data visualization process has an average delay time of less than 300ms.

Pekanbaru City Election Recapitulation Information System uses Input from Telegram API

In the process of the regional head election, there is a recapitulation process for the vote acquisition conducted by the KPPS (Voting Organizers Group) at each TPS (polling station). Where this process usually takes a very long time and also causes a lot of problems. In Pekanbaru City, the information on the recapitulation of the regional head election sent to the candidate pairs or the supporting party was still based on the SMS (Short Message Service) gateway which made the candidate pairs/supporting parties have to do the recapitulation manually again. From these problems, the Pekanbaru City Regional Head Election Recapitulation Information System was built using Inputs from the Telegram API that can solve these problems. From the results of testing the black box on the system by following the ISO 9126-2 standard, the results on each metric have a number of 1 and an average of 1 which means that the system's functions are in accordance with needs and expectations. In performance testing the average delay time when the bot is sent data in the form of images (command /c1) is 4.447 seconds, while when the bot is sent data in the form of text/numbers (commands other than /c1) the average delay time is less than 1.5 seconds. In the user acceptance testing, this information system is very helpful for the candidate pair and the bearer party in conducting vote recapitulation during the regional head election process and also get the results of the recapitulation of votes with detail and realtime.

Examine the impact of the implementation of an electronic medical record system on operating theatre efficiency at a teaching hospital in Australia

Background: The utilization of electronic medical record (EMR) system has become the mainstay of healthcare system in developed countries. In the last five years, Queensland Health has gradually implemented EMR system for hospitals in Queensland, Australia. As far as we are aware, no study has been conducted to assess the impact of the EMR implementation on operating theatre efficiency in Australia.Methods: A retrospective review of general surgery operating room on time start data was performed for a period of 2 months prior and 2 months following implementation of the EHR. A delay was defined as the time between the scheduled start time and “first in” times. Outcomes measured included the total number of sessions run, number of sessions starting late, average delay time and case cancellations.Results: During the EMR training period, the number of sessions which had delayed increased from 13.2％ to 31.0%. Following implementation of the EMR, delays were present for 88% of sessions for the first month with an average delay time of 21.8 minutes. The second month showed an overall improvement with 69% of sessions delayed and a reduced average delay time of 10.4mins.Conclusions: The implementation of a new electronic medical record system is associated with delays in theatre start times especially during the training period and first month of use. Evidence of recovery of service efficiency however is seen by the second month post-implementation with further expected improvement if trends continue.

An Optimization Model of Multi-Intersection Signal Control for Trunk Road under Collaborative Information

We proposed a signal control optimization model for urban main trunk line intersections. Four-phase intersection was analyzed and modeled based on the Cell Transmission Model (CTM). CTM and signal control model in our study had both been improved for multi-intersections by three-phase theory and information-exchanging. To achieve a real-time application, an improved genetic algorithm (GA) was proposed finally, the DISCO traffic simulation software was used for numerical simulation experiment, and comparisons with the standard GA and CTM were reported in this paper. Experimental results indicate that our searching time is less than that of SGA by 38%, and our method needs only 1/3 iteration time of SGA. According to our DISCO traffic simulation processing, compared with SGA, if the input traffic flow is changed from free phase to synchronized phase, for example, less than 900 vel/h, the delay time can reduce to 87.99% by our method, and the minimum delay time is 77.76% of existing method. Furthermore, if input traffic volume is increased to 1200 vel/h or more at the synchronized phase, the summary and minimum values of average delay time are reduced to 81.16% and 75.83%, respectively, and the average delay time is reduced to 17.72 seconds.

An efficient route scheduling mechanism for WiMAX network

WiMAX was proposed as the new wireless network standard in recent years. In the wide cover area of WiMAX environment, there are many nodes and interference. In order to obtain the efficiency, the avoidance to the interference is important. In this paper, we propose a two-tier cluster-based route scheduling mechanism on WiMAX Mesh mode. It achieves both fairness and efficiency inside and outside the cluster. The simulation result shows that our mechanism provides great improvement in average delay time and throughput than other research.

INTERNET DATA PACKET TRANSPORT: FROM GLOBAL TOPOLOGY TO LOCAL QUEUEING DYNAMICS

We study structural feature and evolution of the Internet at the autonomous systems level. Extracting relevant parameters for the growth dynamics of the Internet topology, we construct a toy model for the Internet evolution, which includes the ingredients of multiplicative stochastic evolution of nodes and edges and adaptive rewiring of edges. The model reproduces successfully structural features of the Internet at a fundamental level. We also introduce a quantity called the load as the capacity of node needed for handling the communication traffic and study its time-dependent behavior at the hubs across years. The load at hub increases with network size N as ~ N1.8. Finally, we study data packet traffic in the microscopic scale. The average delay time of data packets in a queueing system is calculated, in particular, when the number of arrival channels is scale-free. We show that when the number of arriving data packets follows a power law distribution, ~ n-λ, the queue length distribution decays as n1-λ and the average delay time at the hub diverges as ~ N(3-λ)/(γ-1) in the N → ∞ limit when 2 < λ < 3γ being the network degree exponent.