Multi-Objective Optimization Information Fusion and Its Applications for Logistics Centers Maximum Coverage

From past the development direction of logistics centers covering problem, the main solution is almost always relying on modern computer and gradually developed intelligent algorithm, at the same time, the previous understanding of dynamic covering location model is not "dynamic", in order to improve the unreasonable distribution of logistics centers deployment time, improve the service coverage, coverage as the optimization goal to logistics centers, logistics centers as well as each one can be free to move according to certain rules of "dot", according to the conditions set by the site moved to a more reasonable. The innovation of all algorithms in this paper lies in that the logistics centers themselves are regarded as the subject of free "activities", and they are allowed to move freely according to these rules by setting certain moving rules. Simulation results show that the algorithm has good coverage effect and can meet the requirements of logistics centers for coverage effect.

Turning a Telecom Fiber-Optic Cable into an Ultradense Seismic Array for Rapid Postearthquake Response in an Urban Area

Aftershock-monitoring networks deployed in the epicentral area of a damaging earthquake play important roles in earthquake early warning and ShakeMap estimation, which contribute to hazard mitigation. Using distributed acoustic sensing (DAS) technology with dark fiber can significantly reduce deployment time and cost, and improve spatial sampling, both of which help capture more aftershocks. In this study, we used a 7.6 km dark fiber in Tangshan, China, to monitor seismicity after the 12 July 2020 Ms 5.1 earthquake. The DAS array detected dozens of earthquakes missed by the local permanent network that doubled the number of aftershocks. The relocated aftershocks are distributed mainly north of the DAS array, and the ground-motion pattern changes also hint small-scale features. Our successful results demonstrate the feasibility of using DAS and dark fiber for rapid postearthquake response.

Mitigating Wellhead Fatigue While Reducing HSE Risk, Deck Spread, Deployment Time, and Crew Size

Subsea wellhead systems have a design fatigue life that is expected to withstand the damage incurred from stress caused by cyclic loading during its operation. Wellhead fatigue is a critical factor when drilling offshore wells because the condition of the wellhead determines the length of time drilling activities can be carried out safely. The presence of the BOP on top of the wellhead affects fatigue life. Initially, these units were designed for 6-in. and 10-in. diameter casing and weighed slightly less than 1,400 lb. [ASME, 2003) Over time, BOPs evolved, and today's units are considerably larger and heavier than their predecessors, weighing in at approximately 400 metric tons. This increase in size and weight on the wellhead negatively impacts fatigue life. In recent years, the oil and gas industry has begun to look for ways to reduce wellhead fatigue to extend the life of the wellhead and expand the margins for safe drilling operations. A new ROV-operated Wellhead Load Relief (WLR) system, developed specifically to mitigate fatigue, uses special tensioners that are tethered individually to the BOP. Each tensioner contains a hydraulic spooling unit with a lock- and-pull mechanism that allows the ROV to tighten adjustable tethers subsea, pulling them from slack to a maximum tension of 35 metric tons. This approach to installation is a departure from common industry practice, which necessitates the configuration of the predetermined tether lengths on the topside. The ROV-operated WLR system described in this paper is a compact, high-capacity BOP tethering system suitable for both template and seabed anchoring. It provides a new and efficient way of tethering the BOP to avoid wellhead fatigue and delivers additional benefits that include minimized HSE risk, a smaller deck spread, decreased deployment time, and a smaller crew. The WLR system was operated subsea for the first time in December 2019. By precisely tensioning each tether and limiting the load transferred to the wellhead, the WLR significantly lessened wellhead fatigue, resulting in an almost complete halt in BOP movement. This new technology enables the operator to make optimal use of the fatigue life of the wellhead without compromising efficiency or safety.

A Good Practice Guide for the Use of DGTs. Sampling of metals in transitional and coastal waters by Diffusive Gradient in Thin films (DGT) technique

This good practice guide is focused on the DGT devices, which are the most widely used passive sampler for metals, covering the following aspects: ■ Principle ■ Handling passive sampling devices for metals ■ Estimation of appropriate field deployment time ■ A Good Practice Guide for the Use of DGTs ■ Passive sampling device preparation and assembly ■ Selection of sampling site and safety precautions ■ Passive sampling device deployment and retrieval ■ Extraction of analytes from passive sampling devices ■ Analysis ■ Calculations

Penerapan DevOps pada Sistem Tertanam dengan ESP8266 menggunakan Mekanisme Over The Air

ABSTRAKDevOps mendorong percepatan pengembangan sistem. Namun bukti nyata penerapannya pada sistem tertanam belum mencukupi. Salah satu penyebabnya adalah kesulitan proses deployment pada perangkat. Konsep IoT menghubungkan sistem tertanam dengan jaringan yang memungkinkan proses pembaharuan firmware menggunakan mekanisme Over The Air (OTA). Tulisan ini mengusulkan infrastruktur DevOps untuk pengembangan sistem tertanam. Perangkat keras yang digunakan adalah microcontroller ESP8266. Sedangkan lingkungan DevOps menggunakan perangkat lunak PlatformIO, GitHub dan Travis CI. Pengujian dilakukan dengan mengubah user requirement yang kemudian diterapkan pada perangkat keras. Tahapan DevOps (build and test, release hingga deploy) telah berhasil dilakukan secara otomatis. Sistem mampu mendeteksi kesalahan penulisan kode sumber. Rerata waktu keseluruhan proses adalah 77,21 detik. Proses build and test mendominasi waktu proses dengan rerata sebesar 77,21 detik dan waktu deploy memiliki rerata 1,41 detik.Kata kunci: IoT, Sistem Tertanam, OTA, DevOps, ESP8266 ABSTRACTDevOps drives the acceleration of system development. However, the concrete evidence of its application in embedded systems is not sufficient. One of the causes is difficulty in the deployment process on the device. Firmware update using an Over-The-Air (OTA) mechanism is allowed by the IoT concept that connects embedded systems into a network. This paper is proposing a DevOps infrastructure for embedded system development. Proposed infrastructure using ESP8266 for the hardware and PlatformIO, GitHub, and Travis CI for the DevOps environment. Testing the proposed system is done by changing the user requirements that are applied to the hardware. The DevOps stages from building and test, release, and deployment have automatically been done. The system is also able to detect developer errors in writing source code. The average time of the whole process on trial was 77.21 seconds. The build and test process dominates the processing time with an average of 77.21 seconds and the deployment time is relatively short with an average of 1.41 seconds.Keywords: IoT, Embedded System, OTA, DevOps, ESP8266

FogFrame: a framework for IoT application execution in the fog

Recently, a multitude of conceptual architectures and theoretical foundations for fog computing have been proposed. Despite this, there is still a lack of concrete frameworks to setup real-world fog landscapes. In this work, we design and implement the fog computing framework FogFrame—a system able to manage and monitor edge and cloud resources in fog landscapes and to execute Internet of Things (IoT) applications. FogFrame provides communication and interaction as well as application management within a fog landscape, namely, decentralized service placement, deployment and execution. For service placement, we formalize a system model, define an objective function and constraints, and solve the problem implementing a greedy algorithm and a genetic algorithm. The framework is evaluated with regard to Quality of Service parameters of IoT applications and the utilization of fog resources using a real-world operational testbed. The evaluation shows that the service placement is adapted according to the demand and the available resources in the fog landscape. The greedy placement leads to the maximum utilization of edge devices keeping at the edge as many services as possible, while the placement based on the genetic algorithm keeps devices from overloads by balancing between the cloud and edge. When comparing edge and cloud deployment, the service deployment time at the edge takes 14% of the deployment time in the cloud. If fog resources are utilized at maximum capacity, and a new application request arrives with the need of certain sensor equipment, service deployment becomes impossible, and the application needs to be delegated to other fog resources. The genetic algorithm allows to better accommodate new applications and keep the utilization of edge devices at about 50% CPU. During the experiments, the framework successfully reacts to runtime events: (i) services are recovered when devices disappear from the fog landscape; (ii) cloud resources and highly utilized devices are released by migrating services to new devices; (iii) and in case of overloads, services are migrated in order to release resources.

Mobility Management Framework of Local Mobility

IP mobility solutions allow mobile nodes to roam while retaining connectivity to the internet. However, as these solutions evolve, mobile node implementations continue to undergo modification. Since mobile nodes represent hundreds of thousands of hosts worldwide, deploying new mobility protocols will become expensive. The main objective of this project was to design a framework that decouples the mobile node from route repair, which reduces the implementation and deployment time of new solutions. The proposed framework reengineers existing IP mobility protocols in order to facilitate the transition for network administrators. The second objective of the project was to provide a prototype of the framework to gain acceptance for our design within the Internet community. The result of this work is a mobility management framework that not only reduces the effects of deployment, but also provides a standard interface to the mobile node.

Mobility Management Framework of Local Mobility

IP mobility solutions allow mobile nodes to roam while retaining connectivity to the internet. However, as these solutions evolve, mobile node implementations continue to undergo modification. Since mobile nodes represent hundreds of thousands of hosts worldwide, deploying new mobility protocols will become expensive. The main objective of this project was to design a framework that decouples the mobile node from route repair, which reduces the implementation and deployment time of new solutions. The proposed framework reengineers existing IP mobility protocols in order to facilitate the transition for network administrators. The second objective of the project was to provide a prototype of the framework to gain acceptance for our design within the Internet community. The result of this work is a mobility management framework that not only reduces the effects of deployment, but also provides a standard interface to the mobile node.