Machine learning techniques for anti-money laundering (AML) solutions in suspicious transaction detection: a review

Money laundering has been affecting the global economy for many years. Large sums of money are laundered every year, posing a threat to the global economy and its security. Money laundering encompasses illegal activities that are used to make illegally acquired funds appear legal and legitimate. This paper aims to provide a comprehensive survey of machine learning algorithms and methods applied to detect suspicious transactions. In particular, solutions of anti-money laundering typologies, link analysis, behavioural modelling, risk scoring, anomaly detection, and geographic capability have been identified and analysed. Key steps of data preparation, data transformation, and data analytics techniques have been discussed; existing machine learning algorithms and methods described in the literature have been categorised, summarised, and compared. Finally, what techniques were lacking or under-addressed in the existing research has been elaborated with the purpose of pinpointing future research directions.     

DETERMINATION OF NITROGEN COMPOUND DISTRIBUTION FROM THREE SOURCE FUELS

As part of a world-wide survey of middle distillate fuel instability, three fuels were chosen for detailed GC/MS analysis. These fuels are identified by number and country of origin; FL-2577 was from Burnaby, British Columbia, Canada; FL-2599 was from Abamadj, Kuwait; and FL 2592 was from Chiba, Japan. The organo-nitrogen compounds in the three fuels were separated by mild acid extraction followed by silica gel absorption. This treatment yielded three fractions for each fuel; a basic nitrogen compounds fraction, BNC; a non-basic nitrogen compounds fraction in methylene chloride, mcl, NBNC-mcl; and a non-basic nitrogen compounds fraction in methanol, meoh, NBNC-meoh. The three fractions from each fuel were analyzed by combined capillary gc/ms. The organo-nitrogen compounds from each fraction were identified and quantitated.     

Corrosion-passivation processes in a cellular automata based simulation study

A short survey of cellular automata based models for corrosion and passivation phenomena is given. Results of simulations based on the model of spatially separated anodic and cathodic reactions are presented for a cavity development from a point-like damage of a protective layer and from an initially flat unprotected surface. We show some new peculiar examples of the symmetry breaking in the cavity development. The results for the initially flat surface show roughening of the surface at the beginning of the corrosion process. After that, pit merging causes a resmoothing of the surface. An oscillatory behavior of the surface roughness is observed caused by a peninsula formation with subsequent island detachment. These results are obtained in 2D because of computational limitations. We plan simulations in 3D and point out the problems we encounter in their realization.     

Dinh Van珠宝——香港国际金融中心/利园商场店

<正>法国珠宝商、Jean Dinh Van,是世界知名的珠宝商卡地亚(Cartier)的学徒。1965年,Dinh Van在巴黎推出其同名珠宝品牌时,他就想创建一个集人性化、活泼、有性格的珠宝品牌,而最重要的是这些珠宝要能体现出现代的元素。正是基于这种理念,Stefarno Tordiglione Design设计了在香港国际金融中心和利园商场两家当代珠宝店。     

量测水设备在我省加强灌溉农业三期WUA项目建设中的选型应用探讨

本文针对我省正在开展的加强灌溉农业三期WUA项目建设中量测水技术及设备引进选型进行了探讨,提出了初步设计思路.     

Experimental measurements of gold nanoparticle nucleation and growth by citrate reduction of HAuCl4

Gold particle nucleation and growth were analyzed systematically by UV–vis, ELS and TEM measurements. The gold seed particles ranging from 14.3 nm to 20.3 nm were prepared with monodisperse size distribution by citrate reduction reaction of various initial HAuCl₄ concentrations. Gold nanoparticles of different sizes were made by the seed-mediated growth process. In the first stage of seed-mediated growth, most of gold precursors were used for the growth of seed particles, but, further supply of gold precursors promotes the nucleation of small particles and decreases the average particle diameters while the polydispersity of particles increases. This research can be used as basic data to prepare gold nanoparticles with specific properties for different applications.     

Hydrogen Generation from CO2 Reforming of Biomass-Derived Methanol on Ni/SiO2 Catalyst

Topics in Catalysis - CO2 reforming of methanol for producing hydrogen was experimentally carried out in a fixed-bed reactor on 10%Ni/SiO2. The 10%Ni/SiO2 was completely reduced during H2...     

Experimental characterization of thermo-oxidation-induced shrinkage and damage in polymer-matrix composites

This paper focuses on the experimental characterization of thermo-oxidation in carbon-fiber-reinforced polymers (CFRPs) exposed to “high” temperatures (up to 150 °C) and “high” oxygen pressures (up to 5 bars), at the microscopic scale. Unidirectional IM7/977-2 composite specimens were aged at 150 °C under atmospheric air and under oxygen pressure (1.7 bars and 5 bars): periodic tests were carried out to characterize degradation phenomena after different aging times. The thermo-oxidation-induced resin shrinkage and fiber/matrix debonding were measured on the CFRP sample surface by confocal interferometric microscopy (CIM) and scanning electron microscopy (SEM). The results show that thermo-oxidation-induced degradation strongly depends on aging time, distance between fibers and partial oxygen pressure.