Multiobjective Algorithm-Based Pareto Optimization for Modelling Trajectory Movement of MH370 Debris

It is well-known that the altimeter satellite data can model the global world ocean circulation. In this view, the ocean dynamic circulation altimeter data is required to understand the drift movement of MH370 across the Indian ocean. The integration between the Volterra-Lax-Wendroff algorithm and Pareto optimal algorithm is used to investigate the dynamic movement of MH370 debris over annual current circulation across the Indian Ocean. This chapter shows that the maximum value of the hit-rate (HR) is 160%, which is occurring with an extreme rapidity of eddy current of 0.65 m/s. In conclusion, it is a great impossibility for the existence of the debris along Mozambique, Reunion Island, Madagascar coastal waters, and Mossel Bay, South Africa, as proven by the Pareto optimization.

Optical Satellite Multiobjective Genetic Algorithms for Investigation of MH370 Debris

At present, there is no precise method that can inform where the lost flight MH370 is. This chapter proposes a new approach to search for the missing flight MH370. To this end, multiobjective genetic algorithms are implemented. In this regard, a genetic algorithm is taken into consideration to optimize the MH370 debris that is notably based on the geometrical shapes and spectral signatures. Currently, there may be three limitations to optical remote sensing technique: (1) strength constraints of the spacecraft permit about two hours of scanning consistently within the day, (2) cloud cover prevents unique observations, and (3) moderate information from close to the ocean surface is sensed through the scanner. Needless to say that the objects that are spotted by different satellite data do not scientifically belong to the MH370 debris and could be just man-made without accurate identifications.

Advanced Altimeter Interferometry for Modelling the Wave Pattern Impacts of MH370 Flaperon

Previous studies investigated the Indian Ocean's currents' impacts on the trajectory movement of MH370 debris. This chapter introduces the novel approach of investigating the wave pattern variations in the Indian Ocean on the MH370 debris. The novel approach based on the altimeter interferometry technique is utilized in this chapter. To this end, dual SIRAL instruments on-board of CryoSat-2 are applied to obtain the annual cycle of significant wave height across the Indian Ocean. In this chapter, in a one-year significant wave height cycle, the swell remains propagating from the Southwest to the Northeast from January to March 2015 with a maximum significant wave height of 5 m in the Northeast Offshore Australian Shelf and 7 m significant wave height Southwest of Australian Shelf. In this circumstance, the Pareto algorithm proves that the flaperon would submerge to a water depth less than 300 m on account of the impact of wave power of 22000 KJ/m/wave. It can be said that the flaperon would be submerged further to a water depth of 1000 m because of the wave power of 30000 KJ/m/wave.

Aeroplane Detection Techniques in Optical Satellite Sensors

This chapter demonstrates an automatic detection approach for aeroplanes in optical satellite data. This chapter hypothesizes that aeroplane fuselage can be retrieved in satellite images. Aeroplane detection is a challenging task in remote sensing images due to its variable sizes, colours, complex backgrounds, and orientations. To this end, principle component analysis (PCA) and a deep belief network (DBN) are used to detect the MH370 flight. Needless to say that all detected targets are not segments of MH370.

Simulation of MH370 Actual Route Using Multiobjective Algorithms

This chapter delivers the mathematical model to retrieve the definite route of MH370 and its debris, which is based on a multi-objective evolutionary algorithm. The chapter shows that the appropriate short route for Captian Zaharie to murder-suicide is the Gulf of Thailand, not in the Southern Indian Ocean, which is specified by 1000 iterations and 100 fitness. Needless to say that the MH370 path reclaimed from Inmarsat 3-F1 satellite data was not delivering the real scenario of MH370's vanishing, which is proving the multiobjective genetic algorithm.

Mathematical Theory of Flight MH370 Ditching

This chapter bridges the gap between the theory of flight ditching and the MH370 vanishing mechanism. In doing so, the Von Karman theory and volume-of-fluid (VOF) technique are used to deliver a logical understanding of MH370 crashing in the Indian Ocean. The most significant finding was that the fuselage would be broken down into some pieces, and wings and tails, for instance, would split away from the fuselage under air turbulence impacts and appear as floating debris in the crushing area. However, there is no recorded debris located at the crash site.

Speculations Behind the Disappearance of Flight MH370

Several theories and conspiracies have flooded the media regarding the vanishing of Malaysia Airline 370 (MH370) in the Indian Ocean on March 8, 2018. This chapter aims at reviewing these theories to investigate the vanishing of MH370. Futhermore, this chapter also discloses doubts about tracking MH370 as approximately the signal information concerning BTO and BFO is non-existent. This chapter concludes with some theories such as aliens and the Bermuda Triangle that are not scientifically grounded. This chapter suggests a serious concern about the development of ocean dynamic studies as the keystone to investigating the vanishing of MH370 in such an extremely dynamic ocean as the Indian Ocean.

Pareto Optimization for Rossby Wave Pattern Impacts on MH370 Debris

This chapter censoriously appraises the comprehensive theories that specify that more concepts are needed to bridge the gap found between the dynamic of the Southern Indian Ocean and the actual MH370 vanishing mechanism. Thus, this chapter is devoted to the Rossby waves, which could attribute to the fact that the MH370 flaperon got to Réunion Island. In this view, Rossby waves generate growth of energy in the west of the ocean gyres and create the strengthening currents on the western side of the ocean basins. Pareto optimization algorithm of the impact power of Rossby waves proves that the flaperon could not drift across the Southern Indian Ocean and be positioned on Réunion Island.

Potential of Optical Remote Sensing Sensors for Tracking MH370 Debris

The main question is about how optical remote sensing can be implemented to investigate the HH370 debris. The perfect understanding of the principles of remote sensing and optical satellite data can assist to answer this question. This chapter aims at reviewing the fundamental of optical remote sensing satellite data. From the point view of the electromagnetic spectrum to physical characteristics of optical satellite sensors with high and low resolution, the MH370 debris can be recognized in satellite images. In this understanding, the chapter carries a novel explanation of remote sensing technology of MH370 as a specific and unique case. This clarification is deliberated with particular debris imagined in satellite images as quantum information, which is presented somewhere in the Indian Ocean.

Principles of Genetic Algorithms

This chapter aims to review the fundamentals of genetic algorithms. Consequently, the chapter correspondingly lectures on the dissimilarities between the alteration genetic and evolutionary algorithms. The decision mathematical rules based on the Pareto algorithm are similarly deliberated. The Pareto optimization rule can have a significant role in the examination of the precise position of MH370 vanishing. In this circumstance, the majority of multi-objective optimization algorithms exercise this principle to acquire the non-dominated set of solutions, as a result of the Pareto-front to investigate how MH370 ended up in the Indian Ocean.