环境友好型氨基酸表面活性剂的制备及与洗涤相关界面性能的评价

本文以椰子油为原料,合成了两种氨基酸类型的生物表面活性剂:椰油酰基甘氨酸钾(CGK)和椰油酰基甘氨酸钠(CGN),利用FT-IR,1HNMR,和13CNMR技术对表面活性剂的化学结构进行了表征。通过对两种氨基酸型生物表面活性剂界面性能的研究,发现CGK和CGN均是具有表面活性的,可以有效降低体系的界面自由能。相对于洗涤剂中所使用的传统表面活性剂,CGK和CGN表现出了更好的洗涤效果。环境相容性实验证实CGK和CGN均是易生物降解的、无毒无刺激的、非常温和的。相对于CGN,CGK拥有更强的疏水性和更大的迁移速率,从而导致其更易吸附于气液界面,可以更加有效地降低界面自由能。

Laboratory study of improving petroleum recovery by changing the wettability between the solid/liquid interface

The wettability of the solid powders (silica gel or Kaolin) was measured with the modified Washburn equation indicated as contact angles. The wettability changes for SDBS aqueous solutions on the surface of a silica gel or Kaolin powder were studied. The average aggregation number of the micelle in SDBS aqueous solution was measured by the fluorescence quenching method. Then the oil recovery of n-dodecane on the silica gel or the Kaolin surface was tested. The relationship between the wettability of the powder surface, the critical micelle concentration (CMC) of SDBS aqueous solution, and the mimic oil recovery of the resident oil on the powder surface has been explored. It has been found that the minimum contact angle (most hydrophilic condition) and the maximum oil recovery occurred near the critical micelle concentration (CMC) of SDBS while the in-terfacial tension between the SDBS solution and n-dodecane was far from ultra-low condition (≤10-3 mN · m-1).

Game “Divi-Divi-Dip” Based on Interactive Robot

Recently the improved robot working in very various fields, many researchers are trying to develop the robot to help people in the service field. However people who meet a robot in the first time gen- erally get heterogeneous feeling. To resolve this, we suggest an inter- active game with robots to increase the friendliness. The game, called ＂Divi-Divi-Dip＂ with 3 different body poses, is first introduced in a Korean TV prgrmn. The robot is using the visionary technology to recognize the pose with camera for the interactive game.

Anti-vapor-penetration and condensate microdrop self-transport of superhydrophobic oblique nanowire surface under high subcooling

It is well-known that microscale gaps or defects are ubiquitous and can be penetrated by vapor,resulting in the failure of superhydrophobic effect and undesired condensate flooding under high subcooling.Here,we propose and demonstrate that such problem can be solved by the oblique arrangement of nanowires.Such a structure has been demonstrated to own anti-vapor-penetration and microdrop self-transport functions under high subcooling,unaffected by the microscale gaps.This is because vapor molecules can be intercepted by oblique nanowires and preferentially nucleate at near-surface locations,avoiding the penetration of vapor into the microscale gaps.As-formed microdrops can suspend upon the nanowires and have low solid-liquid adhesion.Besides,oblique nanowires can generate asymmetric surface tension and microdrop coalescence can release driving energy,both of which facilitate the microdrop self-removal via sweeping and jumping ways.This new design idea helps develop more advanced condensation mass and heat transfer interfaces.

Science Letters:Human-centered modeling for style-based adaptive games

This letter proposes a categorization matrix to analyze the playing style of a computer game player for a shooting game genre. Our aim is to use human-centered modeling as a strategy for adaptive games based on entertainment measure to evaluate the playing experience. We utilized a self-organizing map (SOM) to cluster the player's style with the data obtained while playing the game. We further argued that style-based adaptation contributes to higher enjoyment, and this is reflected in our experiment using a supervised multilayered perceptron (MLP) network.

Efficient page layout analysis on small devices

Previously we have designed and implemented new image browsing facilities to support effective offiine image contents on mobile devices with limited capabilities： low bandwidth, small display, and slow processing. In this letter, we fulfill the automatic production of cartoon contents fitting small-screen display, and introduce a clustering method useful for various types of cartoon images as a prerequisite stage for preserving semantic meaning. The usage of neural networks is to properly cut the various forms of pages. Texture information that is useful for grayscale image segmentation gives us a good clue for page layout analysis using the multilayer perceptron （MLP） based x-y recursive algorithm. We also automatically frame the segment MLP using agglomerative segmentation. Our experimental results show that the combined approaches yield good results of segmentation for several cartoons.