Computer simulation in introductory geology

Computer simulations of geologic processes are part of the regular laboratory fare in beginning geology courses at Syracuse University. Three programs used regularly are: (1) META, which accepts as input the modal analysis of a sedimentary rock, then calculates mineral assemblages that would result at specified grades of metamorphism, (2) LAKES, with which the student can follow changes in vertical thermal structure of a lake as weather conditions are varied through time, and (3) OIL, a competitive drilling game designed to teaching principles of petroleum migration and entrapment while developing skill in working with structure contour maps.All three programs have proved highly successful as teaching tools. Equally important, they are enjoyed by most students.     

简述历史教育类小游戏“信差快跑”设计方案

该文主要总结了信差快跑小游戏的设计脚本——是国家级大学生开放性实验项目历史题材教育游戏的设计与开发——以武昌起义为背景的角色扮演类游戏为例的中期成果之一。该文给出的脚本是经项目成员头脑风暴和测试的完整的游戏脚本的主要细节。主要汇报了游戏方案的背景设计、结构设计、核心玩法、奖励机制、地图设置和难度设计,以及游戏流程的NS说明图。     

简述历史教育类小游戏“信差快跑”设计方案

该文主要总结了“信差快跑”小游戏的设计脚本——是国家级大学生开放性实验项目“历史题材教育游戏的设计与开发——以武昌起义为背景的角色扮演类游戏为例”的中期成果之一。该文给出的脚本是经项目成员头脑风暴和测试的完整的游戏脚本的主要细节。主要汇报了游戏方案的背景设计、结构设计、核心玩法、奖励机制、地图设置和难度设计,以及游戏流程的NS说明图。     

复合勘探技术在煤矿工作面水害防治中的应用

现有煤矿工作面水害复合勘探技术大多采用常规回转钻进成孔方法,钻孔数量多、工作量大,且施工过程中钻杆弯曲变形、孔内地层变化、钻进工艺参数改变等会导致钻孔发生偏斜,从而导致探水决策失误。针对该问题,提出一种基于定向钻进的复合勘探技术,并将其应用于某煤矿综采工作面水害探测。应用过程如下:先采用矿井音频电透技术探测工作面低视电阻率异常区,再采用定向钻进技术直接揭露富水区,通过观测钻孔涌水量和化验钻孔涌水水质,确定异常区存在导水奥灰岩溶陷落柱,并圈定了陷落柱在该工作面内的延展状态和边界;根据复合勘探结果,指导更改切眼位置,有效消除了工作面开采揭露导水陷落柱导致突水事故的隐患。     

打字比赛系统中字符串匹配算法

打字比赛程序,是学校为了加强学生对计算机基本技能的掌握,而开发的一款用于检验打字速度、准确率等多项指标的比赛程序．传统的字符串匹配算法是基于关键词的匹配算法,只能得到位置信息,而比赛程序是两个大文本之间进行匹配,需要获得更加详细的匹配信息,这时传统算法就无法满足要求．通过对实际问题的探索和研究,在传统算法的基础上,设计出一种新的匹配算法．这种算法可以进行两个文本之间的匹配,得到正确的内容、错误的内容等信息．应用这一算法编写软件,验证了算法的可行性和实用性．     

A STRATEGIC METAGAME PLAYER FOR GENERAL CHESS-LIKE GAMES

This paper introduces METAGAMER, the first program designed within the paradigm of Metagame-playing (Metagame). This program plays games in the class of symmetric chess-like games, which includes chess, Chinese chess, checkers, draughts, and Shogi. METAGAMER takes as input the rules of a specific game and analyzes those rules to construct an efficient representation and an evaluation function for that game; they are used by a generic search engine. The strategic analysis performed by METAGAMER relates a set of general knowledge sources to the details of the particular game. Among other properties, this analysis determines the relative value of the different pieces in a given game. Although METAGAMER does not learn from experience, the values resulting from its analysis are qualitatively similar to values used by experts on known games and are sufficient to produce competitive performance the first time METAGAMER plays a new game. Besides being the first Metagame-playing program, this is the first program to have derived useful piece values directly from analysis of the rules of different games. This paper describes the knowledge implemented in METAGAMER, illustrates the piece values METAGAMER derives for chess and checkers, and discusses experiments with METAGAMER on both existing and newly generated games.     

A soft computing system using intelligent imputation strategies for roughness prediction in deep drilling

A soft computing system used to optimize deep drilling operations under high-speed conditions in the manufacture of steel components is presented. The input data includes cutting parameters and axial cutting force obtained from the power consumption of the feed motor of the milling centres. Two different coolant strategies are tested: traditional working fluid and Minimum Quantity Lubrication (MQL). The model is constructed in three phases. First, a new strategy is proposed to evaluate and complete the set of available measurements. The primary objective of this phase is to decide whether further drilling experiments are required to develop an accurate roughness prediction model. An important aspect of the proposed strategy is the imputation of missing data, which is used to fully exploit both complete and incomplete measurements. The proposed imputation algorithm is based on a genetic algorithm and aims to improve prediction accuracy. In the second phase, a bag of multilayer perceptrons is used to model the impact of deep drilling settings on borehole roughness. Finally, this model is supplied with the borehole dimensions, coolant option and expected axial force to develop a 3D surface showing the expected borehole roughness as a function of drilling process settings. This plot is the necessary output of the model for its use under real workshop conditions. The proposed system is capable of approximating the optimal model used to control deep drilling tasks on steel components for industrial use.     

Stability Analysis of a Borehole Wall Based on ABAQUS

The instability of borehole wall is always a difficult question in drilling borehole progress.It increases the cost of production and prolongs production cycle.So it has a significant research value.Considering the effect of mud pressure and pore pressure on the stability of borehole wall,this paper establishes a math model by applying the two-dimensional bond theory of Biot.It applies the method of the numerical simulation to analyze the effect of mud pressure and pore pressure on the stability of borehole wall.The simulation results show that the mud pressure imposes great influence on stress field and on the deformation of borehole soil,which provides a theoretical basis during the drilling process to avoid the instability of the borehole and to study how to select reasonable mud and mud pressure.     

Online game bot detection based on party-play log analysis

As online games become popular and the boundary between virtual and real economies blurs, cheating in games has proliferated in volume and method. In this paper, we propose a framework for user behavior analysis for bot detection in online games. Specifically, we focus on party play which reflects the social activities among gamers: in a Massively Multi-user Online Role Playing Game (MMORPG), party play is a major activity that game bots exploit to keep their characters safe and facilitate the acquisition of cyber assets in a fashion very different from that of normal humans. Through a comprehensive statistical analysis of user behaviors in game activity logs, we establish threshold levels for the activities that allow us to identify game bots. Based on this, we also build a knowledge base of detection rules, which are generic. We apply our rule reasoner to AION, a popular online game serviced by NCsoft, Inc., a leading online game company based in Korea.     

Computer simulation of geologic strata: A teaching tool

Computer-assisted instruction material helps geology students understand the dependent relationship between changing sedimentary conditions and the rock record. Students can specify various sedimentary conditions and then observe the resulting changes in a graphic printout of the stratigraphic column. The program assists in lending insight into this important geologic principle, but it also may serve more advanced students. The statistical output allows the student to compare the synthesized data with actual field measurements. The program can provide the type and amount of data which statistical studies of rock stratification find difficult to gather.The simulation of the Flysch environment is based on a number of simple assumptions. The assumptions may not exactly capture the extremely complex ties between sedimentation parameters and the rock record. However they do preserve the basic relationships which govern the depositional model. The program provides a framework from which more sophisticated simulation studies may be formulated.Included along with program listing and sample run are a set of exercises which are designed to be used in conjunction with program FLYSCH.     

Evolving the artist-technologist

Animate Arts provides a model for training students to cross the boundaries of art and technology, as well as for teaching programming to students who might otherwise find it inaccessible or unappealing. The program offers many lessons for traditional methods of teaching programming as well. Northwestern's Animate Arts program seeks to unite artists and programmers through team teaching and a curriculum that draws from visual and sound arts, cultural and narrative theory, and computer science. Although Animate Arts is not devoted specifically to game design, it does teach skills relevant to the game industry.     

Deploying a massively multiplayer online game with a low-latency server infrastructure

The massively multiplayer online game (MMOG) industry has become an important e-commerce segment due to its impact on the economy. A MMOG requires the deployment of dozens to hundreds of n-tiered servers around the world to support millions of concurrent players. A slow response time stemming from an ill-designed network infrastructure could render the game noncompetitive in the marketplace. This study proposes a mixed integer program aimed at identifying nodes on a broadband provider’s backbone network for hosting a MMOG so that the game distributor’s revenue is maximized while meeting the throughput, the latency, and the budget requirements. A heuristic for solving the model is presented with an experiment to measure its solution quality and speed.     

基于本体的钻具组合智能设计

为提高钻具组合设计过程中的设计知识利用率和设计效率,提出一种基于本体的钻具组合智能设计方法.该方法通过构建井眼参数、地层参数、模型知识以及钻井工程实例的本体模型,实现了对钻具组合设计知识的表示,构建钻具组合设计知识库,建立了本体间的语义映射关系,完成了对钻具组合设计知识的组织、推送和嵌入.最后,结合基于案例的推理方法,实现了对钻具组合的智能设计.     

一种基于Q学习的有限理性博弈模型及其应用

传统博弈理论模型建立在人的完全理性基础之上,难以切合实际。有限理性博弈则能够很好地描述实际问题。有限理性的博弈者参与到不完全信息博弈中,对博弈的规则、结构以及对手等博弈信息有一个逐渐适应和了解的过程,因此博弈应是动态进化的模型。针对这一问题,提出了一种基于Q学习算法的不完全信息博弈模型,根据Littman的最大最小原则建立了多指标体系下的策略选择概率分布;构建了Q学习与博弈融合的数学模型,使用Q学习机制来实现博弈模型的动态进化;最后将模型应用于两人追逐的仿真实验,结果表明所提出的模型能够很好地再现追逐情景。     

循序渐进掌握足球防守机器人

为了使学生能够尽快地掌握足球防守机器人的使用方法及比赛策略,本文从介绍足球机器人比赛入手,让学生了解比赛规则;进而根据比赛规则及需要的防守策略,分析足球防守机器人的主要硬件组成;然后让学生利用C语言编程并了解如何控制各个硬件;最后分析防守策略并实现。     

煤层气充气欠平衡安全钻井监控系统

在充气欠平衡钻井过程中,地层存在诸多不确定因素及不可预知情况。尤其是煤层气的开发,如果各种突发状况或者影响安全钻进的其他工况未能被及时监测与控制,则会发生井塌、井眼不清洁等安全事故,严重影响正常钻进。因此,针对现有的煤层气充气欠平衡钻井施工工艺及配套设备,利用模糊神经网络的自适应学习特点建立控制模型,以组态软件为软件开发平台,通过对监测参数的组合优化控制,建立一套煤层气充气欠平衡钻井实时监控系统。     

在AutoCAD中编程实现Sudoku puzzle的求解及生成

＂数独＂游戏目前颇为流行,日常见诸于各类报纸之端。其游戏规则较为简单,有利于计算机编程加以处理。本文利用AutoCAD附带的二次开发工具AutoLISP语言,编制了求解及生成数独谜题的程序,并用实例验证了程序的有效性。本文程序借助AutoCAD强大的界面功能,所编制的程序具有较好的用户交互性能。     

Effect of interaction between rules on rule dynamics in a multi-group minority game

Rules such as laws, institutions, and norms are shaped by interactions among social members who are affected by the rules. Since they have such a mutually regulating relationship, the rules can be changed dynamically. However, there are many groups, rules, and complex interactions among them where the rules are mutually enhanced by the interactions in our society. This article considers how interactions between rules shaped in different groups have an influence on rule dynamics. In order to investigate this, we propose a multi-group minority game model in which each agent plays the game in different groups independently, with contact with other group’s members in a cyclic way. Our simulation showed the synchronization phenomena of rule dynamics shaped in different groups. Further, we found that the synchronization rate peaks in the model with interactions in which about half the members of a group are exchanged between different groups and learn other rule dynamics directly.