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Smart ships – autonomous or remote controlled?

Kobyliński L.

Zeszyty Naukowe Akademii Morskiej w Szczecinie

2018

nr 53 (125)

28--34

Nowadays the time of the smart ship is at the door. This is the result of the new, Fourth Industrial Revolution that is fast approaching. The Fourth Industrial Revolution is the result of an enormous increase in information being acquired, stored, processed, and transmitted The effect of this has been smart domestic appliances, robots, telephones, production machines, and other objects, visible everywhere in everyday life. There are obviously many advantages to the introduction of smart vehicles and attempts to introduce smart cars into traffic are already in progress. Smart ships are also currently attracting much attention. RINA organized three international conferences on this subject in a short space of time. An attempt to send a fully autonomous experimental ship across the Atlantic is already in progress. Although technically it would be possible to already build smart ships, there are many practical problems to be solved before they could be put into operation. Apart from purely technical problems there are problems of the economy, safety, security, and environmental protection as well as legal and political problems. There are also important problems regarding employment, training, and human relations. Questions are now being asked as to whether smart ships would be fully autonomous, remote controlled, or manned with a skeleton crew, and who will ultimately be responsible for the ship in question and how smart ships will affect sea traffic. Some of these problems have been discussed in this paper.

Ranking criteria for assessment of municipal solid waste dumping sites

Mahmood K., Batool S. A., Chaudhary M. N., Ul-Haq Z.

Archives of Environmental Protection

2017

Vol. 43, no. 1

95--105

Priority wise channelization of resources is the key to successful environmental management, especially when funds are limited. The study in hand has successfully developed an algorithmic criterion to compare hazardous effects of Municipal Solid Waste (MSW) dumping sites quantitatively. It is a Multi Criteria Analysis (MCA) that has made use of the scaling function to normalize the data values, Analytical Hierarchy Process (AHP) for assigning weights to input parameters showing their relevant importance, and Weighted Linear Combination (WLC) for aggregating the normalized scores. Input parameters have been divided into three classes namely Resident’s Concerns, Groundwater Vulnerability and Surface Facilities. Remote Sensing data and GIS analysis were used to prepare most of the input data. To elaborate the idea, four dumpsites have been chosen as case study, namely Old-FSD, New-FSD, Saggian and Mahmood Booti. The comparison has been made first at class levels and then class scores have been aggregated into environmental normalized index for environmental impact ranking. The hierarchy of goodness found for the selected sites is New-FSD > Old-FSD > Mahmood Booti > Saggian with comparative scores of goodness to environment as 36.67, 28.43, 21.26 and 13.63 respectively. Flexibility of proposed model to adjust any number of classes and parameters in one class will be very helpful for developing world where availability of data is the biggest hurdle in research based environmental sustainability planning. The model can be run even without purchasing satellite data and GIS software, with little inaccuracy, using imagery and measurement tools provided by Google Earth.