Current Issue : April - June Volume : 2017 Issue Number : 2 Articles : 5 Articles
The study treats a specific technological approach for the elaboration of small manufacturing\nseries of highly precise hyperboloid gears with small module of the teeth\nand with not big dimensions of the gear mechanism. It is based on the application of\nthe elaborated by authors mathematical models, algorithms and computer programs\nfor synthesis upon a pitch contact point and upon a mesh region. A special feature of\nthe established approach is the application of 3D software prototyping and 3D\nprinting of the designed transmissions. The presented here models of the transmissions\nwith crossed axes and face mated gears are indented for implementation into\nthe driving of two type robots: bio-robot hand and walking robot with four insect-\ntype legs....
Internet of Things (IoT) are being adopted for industrial and manufacturing applications\nsuch as manufacturing automation, remote machine diagnostics, prognostic\nhealth management of industrial machines and supply chain management. Cloud-\nBased Manufacturing is a recent on-demand model of manufacturing that is leveraging\nIoT technologies. While Cloud-Based Manufacturing enables on-demand\naccess to manufacturing resources, a trusted intermediary is required for transactions\nbetween the users who wish to avail manufacturing services. We present a decentralized,\npeer-to-peer platform called BPIIoT for Industrial Internet of Things based on\nthe Block chain technology. With the use of Blockchain technology, the BPIIoT platform\nenables peers in a decentralized, trustless, peer-to-peer network to interact with\neach other without the need for a trusted intermediary....
The traditional software development model commonly named ââ?¬Å?waterfallââ?¬Â is unable\nto cope with the increasing functionality and complexity of modern embedded systems.\nIn addition, it is unable to support the ability for businesses to quickly respond\nto new market opportunities due to changing requirements. As a response, the software\ndevelopment community developed the Agile Methodologies (e.g., extreme\nProgramming, Scrum) which were also adopted by the Embedded System community.\nHowever, failures and bad experiences in applying Agile Methodologies to the\ndevelopment of embedded systems have not been reported in the literature. Therefore,\nthis paper contributes a detailed account of our first-time experiences adopting\nan agile approach in the prototype development of a wireless environment data acquisition\nsystem in an academic environment. We successfully applied a subset of the\nextreme Programming (XP) methodology to our software development using the\nPython programming language, an experience that demonstrated its benefits in\nshaping the design of the software and also increasing productivity. We used an incremental\ndevelopment approach for the hardware components and adopted a ââ?¬Å?cumulative\ntestingââ?¬Â approach. For the overall development process management, however,\nwe concluded that the Promise/Commitment-Based Project Management (PBPM/\nCBPM) was better suited. We discovered that software and hardware components\nof embedded systems are best developed in parallel or near-parallel. We\nlearned that software components that pass automated tests may not survive in the\ntests against the hardware. Throughout this rapid prototyping effort, factors like\nteam size and our availability as graduate students were major obstacles to fully apply\nthe XP methodology....
Nowadays, Internet of Things technology has garnered a great amount of interest because it can make our life much easier,\nconvenient, and even safer. Internet of Things devices can be connected to the Internet or to each other whenever\nand wherever in order to collect, process, and share information to support various services. In order to provide useful\nsupport, important issues related to security, performance, and energy consumption have to be considered. For example,\nimportant personal information can be easily exposed to others because Internet of Things can be easily hacked;\nlow performance and high energy consumption can limit the effectiveness of devices. These issues can be considered as\nquality factors that need to be met in order to develop software applications in the Internet of Things domain. Energy\nconsumption is critical to provide sustained service within mobile and wireless environments. To this end, this article\nfocuses on how to develop Internet of Things software that takes low energy consumption into account. In particular,\nwe propose energy evaluation techniques that are based on a software architecture that is designed to use reusable\ncomponents. By performing an experiment, we could verify that our proposing method shows maximum 6.83% of error\nrate against code-based energy simulation. Our technique can help software engineers to judge whether or not software\nis developed to satisfy the particular requirements related with energy consumption....
Although promising the formidable configuration, vigorous evolution, and satisfactory performance,\nsoftware-defined networking (SDN) is in its initial period all the same. Some essential issues still remain not\ncompletely resolved, and the scalability of control plane is the most intractable one with the explosive increase of\nnetwork traffic. To address this issue, many researchers have proposed multiple controllers to realize logically\ncentralized control layer. Our previous research has proposed multi-controller load balancing approach called\nHybrid Flow. In this paper, taking advantage of Hybrid Flow, we propose an M-N policy multiple-controller sleeping\nmode by switching off redundant controllers when the system is in the light traffic condition. We use queuing theory\nto model the operation procedure of controllers and formulate the energy consumption management issue as a 0-1\ninteger linear programming model. Through turning off the redundant controllers when the system is in the scenario\nof light traffic, the total energy consumption of the whole system can be cut down. Simulation results reveal that the\nproposed M-N policy multiple-controller sleeping mode achieves superior energy efficiency compared to no sleeping\nmode and N policy sleeping mode. However, it introduces tolerable time delay....
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