ppxscal/embedding_network huggingface dataset:
An Interview with Vaughan Merlyn on Management
Authors: Ubiquity staff
Venue: Ubiquity (2008)

Vaughan Merlyn, who is a management consultant, researcher, and author, has had as his primary focus for more than three decades now has been the use of information and information technology for business value creation. He was interviewed about software consulting and management. The ACM Portal is published by the Association for Computing Machinery. Copyright © 2010 ACM, Inc. Terms of Usage Privacy Policy Code of Ethics Contact Us Useful downloads: Adobe Acrobat QuickTime Windows Media Player Real Player
A Fuzzy Multiple Criteria Decision Making Model for Selecting the Distribution Center Location in China: A Taiwanese Manufacturer's Perspective
Authors: Chien-Chang Chou, Pei-Chann Chang
Venue: Proceedings of the Symposium on Human Interface 2009 on Human Interface and the Management of Information. Information and Interaction. Part II: Held as part of HCI International 2009 (2009)

The purpose of this paper is to propose a fuzzy multiple criteria decision making model for evaluating the distribution center alternative locations in China and selecting the best one for investing distribution center from a Taiwanese manufacturer's perspective. Although a lot of papers focus on the subject of location selection, few discuss the subject of distribution center location selection in China. Thus this paper summarizes the criteria for evaluating the candidate distribution center locations, and then develops a fuzzy multiple criteria decision making model. Finally, the proposed fuzzy multiple criteria decision making model is tested by a Taiwanese manufacturer's case. The results show that the fuzzy multiple criteria decision making model can be used to explain the procedures for distribution center location selection decision making.
Compositionality and multiword expressions: six of one, half a dozen of the other?
Authors: Timothy Baldwin
Venue: Proceedings of the Workshop on Multiword Expressions: Identifying and Exploiting Underlying Properties (2006)

In this talk, I will investigate the relationship between compositionality and multiword expressions, as part of which I will outline different approaches for formalising the notion of compositionality. I will then briefly review computational methods that have been proposed for modelling compositionality, and applications thereof. Finally, I will discuss possible future directions for modelling compositionality, and present some preliminary results.
A hybrid of sequential rules and collaborative filtering for product recommendation
Authors: Duen-Ren Liu, Chin-Hui Lai, Wang-Jung Lee
Venue: Information Sciences: an International Journal (2009)

Customers' purchase behavior may vary over time. Traditional collaborative filtering (CF) methods make recommendations to a target customer based on the purchase behavior of customers whose preferences are similar to those of the target customer; however, the methods do not consider how the customers' purchase behavior may vary over time. In contrast, the sequential rule-based recommendation method analyzes customers' purchase behavior over time to extract sequential rules in the form: purchase behavior in previous periods@?purchase behavior in the current period. If a target customer's purchase behavior history is similar to the conditional part of the rule, then his/her purchase behavior in the current period is deemed to be the consequent part of the rule. Although the sequential rule method considers the sequence of customers' purchase behavior over time, it does not utilize the target customer's purchase data for the current period. To resolve the above problems, this work proposes a novel hybrid recommendation method that combines the segmentation-based sequential rule method with the segmentation-based KNN-CF method. The proposed method uses customers' RFM (Recency, Frequency, and Monetary) values to cluster customers into groups with similar RFM values. For each group of customers, sequential rules are extracted from the purchase sequences of that group to make recommendations. Meanwhile, the segmentation-based KNN-CF method provides recommendations based on the target customer's purchase data for the current period. Then, the results of the two methods are combined to make final recommendations. Experiment results show that the hybrid method outperforms traditional CF methods.
Selecting relevant text subsets from web-data for building topic specific language models
Authors: Abhinav Sethy, Panayiotis G. Georgiou, Shrikanth Narayanan
Venue: Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers on XX (2006)

In this paper we present a scheme to select relevant subsets of sentences from a large generic corpus such as text acquired from the web. A relative entropy (R.E) based criterion is used to incrementally select sentences whose distribution matches the domain of interest. Experimental results show that by using the proposed subset selection scheme we can get significant performance improvement in both Word Error Rate (WER) and Perplexity (PPL) over the models built from the entire web-corpus by using just 10% of the data. In addition incremental data selection enables us to achieve significant reduction in the vocabulary size as well as number of n-grams in the adapted language model. To demonstrate the gains from our method we provide a comparative analysis with a number of methods proposed in recent language modeling literature for cleaning up text.
Empirically-Based Decision Support for Task Allocation in Global Software Development
Authors: Ansgar Lamersdorf
Venue: Proceedings of the 2009 Fourth IEEE International Conference on Global Software Engineering (2009)

Task allocation will be supported by developing models for evaluating assignments. The models are extensions of existing project management models and based on empirical studies.
Research and Application of PBL Mode in GIS Course Teaching
Authors: Zhao Hualong
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 03 (2009)

There is a lot of theoretical knowledge in the course of GIS teaching, the students often feel the theoretical knowledge is dull and is hard to grasp, so they are often lack of interest in learning it. According to higher vocational education's principle: course teaching should be emphasized on student ability training. So in course teaching, we should emphasize on skill training, but not only emphasize on theoretical knowledge. For this aim, it is necessary andimportant to select appropriate teaching mode. According to the characteristic in higher education and students. This paper discusses the application of PBL mode in GIS course teaching in higher education, this mode can improve students' interest in GIS course and improve teaching level effectively, through this teachingmode, students can gain more GIS knowledeg and their abililty can be raised more.
Robotically Assisted Aorto-Femoral Bypass Grafting Surgery: French Experience and Technique Description
Authors: Adrian Lobontiu, Pascal Desgranges, Daniel Loisance
Venue: Proceedings of the 2009 Advanced Technologies for Enhanced Quality of Life (2009)

The da Vinci™ Surgical Robot (Intuitive Surgical Inc., Sunnyvale, CA, USA) is a computer-enhanced surgery device that helps to surpass some of traditional laparoscopic instruments limitations. Our work was performed to assess the safety and feasibility of robotically assisted aorto-femoral bypass grafting (AF) as well as to describe the technique. The aortic dissection is performed laparoscopically, with the patient in a modified right lateral position. The proximal anastomosis is completed with the da Vinci™ system by a remote surgeon, positioned at a distance from the patient. The role of the assistant at the patient’s side is especially to expose, to perform haemostasis and to maintain traction on the running sutures performed by the robot. No robot-related complications were noted. Robotically assisted anastomoses are possible by its unique ability to combine conventional laparoscopic surgery with stereoscopic 3D magnification and ultra-precise suturing techniques due to the flexibility of the robotic wristed instruments using different motion scaling of surgeon hand movements. In addition, prior training in laparoscopic aortic surgery is not necessary for surgeons to obtain the level required for suturing. Further clinical trials are needed to explore the clinical potential and value of robotically assisted AF.
A comprehensive survey of numeric and symbolic outlier mining techniques
Authors: Malik Agyemang, Ken Barker, Rada Alhajj
Venue: Intelligent Data Analysis (2006)

Data that appear to have different characteristics than the rest of the population are called outliers. Identifying outliers from huge data repositories is a very complex task called outlier mining. Outlier mining has been akin to finding needles in a haystack. However, outlier mining has a number of practical applications in areas such as fraud detection, network intrusion detection, and identification of competitor and emerging business trends in e-commerce. This survey discuses practical applications of outlier mining, and provides a taxonomy for categorizing related mining techniques. A comprehensive review of these techniques with their advantages and disadvantages along with some current research issues are provided.
Are We Ready for a Safer Construction Environment?
Authors: Joseph (Yossi) Gil, Tali Shragai
Venue: Proceedings of the 23rd European Conference on ECOOP 2009 --- Object-Oriented Programming (2009)

The semantics of many OO languages dictates that the constructor of a derived class is a refining extension of one of the base class constructors. As this base constructor runs, it may invoke dynamically bound methods which are overridden in the derived class. These invocations receive an "half baked object", i.e., an object whose derived class portion is uninitialized. Such a situation may lead to confusing semantics and to hidden coupling between the base and the derived. Dynamic binding within constructors also makes it difficult to enhance the programming language with advanced mechanisms for expressing design intent, such as non-null annotation (denoting reference values which can never be null), read-only annotation for fields and variables (expressing the intention that these cannot be modified after they are completely created) and class invariants (part of the famous design by contract methodology). A read-only field for example becomes immutable only after the creation of the enclosing object is complete.
Basic Analysis of Integrated Flood Risk Based on Set Pair Analysis Theory
Authors: Li Jiqing, Zhang Yushan, Ji Changming, Zhang Yanke
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 04 (2009)

With the development of the society and the growth of people’s knowledge about flood disaster, it is bound to be a trend in flood control and disasters reduction that the study object of flood disaster risk converts from single risk to integrated risk. This paper introduces the principle of the whole information on the grounds of the characteristic of flood disaster risk, analyses the certainty and the uncertainty of flood disaster system by means of set Pair Analysis Theory and proposes the identical-different-opposite synthetic analysis method of flood disaster risk for the first time. Drought, flood and risk information are embodied in the connection factor of the flood disaster system by this method, which makes up a theoretical basis for further studies in integrated risk analysis.
Applied Research of Information Technology in Environmental Emergency System
Authors: Xu-fu Peng, Xuan Huang, Yi Ding, Fu-rong Wen
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 01 (2009)

Environmental pollution has been a serious threat to all people's living conditions, restricted the ability of continual economic development. How to control the pollution scientifically, efficiently and rapidly has been one of the important topics in the technology research around the world. So, the guiding principles, the organization and the responsibility of the design of environmental pollution emergency system is given, the architecture of the systemis studied and made, the functional design and specification requirements is discussed, such as information processing, communications, command scheduling and security mechanisms; study database design, data security and some other key technologies in the emergency system. All of these provide a theoretical basis and practical techniques for researching and developing the environmental emergency system.
Discourse behind the Forbidden Realm: Internet surveillance and its implications on China's blogosphere
Authors: Shaojung Sharon Wang, Junhao Hong
Venue: Telematics and Informatics (2010)

This paper investigates the implications of regulation in China's blogosphere and the extent to which it impacts bloggers from both a social and a cultural context. There is a growing culture of revelation in China's blogosphere which is replete with the character of celebrity gossip, personal experience, and self-disclosure. Abundant diary-style blogs and bloggers' limited interest in politics demonstrate a new cultural phenomenon that obscures the impact of Internet censorship on blogging. However, drawing from theoretical perspectives of Internet censorship, surveillance, and privacy to examine the current trends in China's blogosphere, this paper illustrates that cyberspace creates the structure of the surveillance environment by implementing technological architectures that mine information about human behavior and preferences. As a result, China's blogosphere has relatively little value as a medium for organized free speech. A blog is not necessarily a new democratizing vehicle; moreover, concentrated power and sustained inequality in the blogosphere do not overcome governmental regulations.
Brief paper: Adaptive observers for time-delay nonlinear systems in triangular form
Authors: Salim Ibrir
Venue: Automatica (Journal of IFAC) (2009)

A simple nonlinear observer with a dynamic gain is proposed for a class of bounded-state nonlinear systems subject to state delay. By saturating the states of the observer nonlinearities with either symmetric or non-symmetric saturation functions, we show that the observer exists, whatever the delay is. Furthermore, it will be highlighted that the observer design is free from any preliminary analysis of the time-delay system such as estimating the Lipschitz constants of nonlinearities. The proposed design encompasses a wide class of nonlinear and time-delay systems written in triangular form and generalizes previous results on delayless nonlinear systems.
UOY: a hypergraph model for word sense induction & disambiguation
Authors: Ioannis P. Klapaftis, Suresh Manandhar
Venue: Proceedings of the 4th International Workshop on Semantic Evaluations (2007)

This paper is an outcome of ongoing research and presents an unsupervised method for automatic word sense induction (WSI) and disambiguation (WSD). The induction algorithm is based on modeling the cooccurrences of two or more words using hypergraphs. WSI takes place by detecting high-density components in the cooccurrence hypergraphs. WSD assigns to each induced cluster a score equal to the sum of weights of its hyperedges found in the local context of the target word. Our system participates in SemEval-2007 word sense induction and discrimination task.
PressureMove: Pressure Input with Mouse Movement
Authors: Kang Shi, Sriram Subramanian, Pourang Irani
Venue: Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part II (2009)

We present PressureMove a pressure based interaction technique that enables simultaneous control of pressure input and mouse movement. Simultaneous control of pressure and mouse movement can support tasks that require control of multiple parameters, like rotation and translation of an object, or pan-and-zoom. We implemented four variations of PressureMove techniques for a 2D position and orientation matching task where pressure manipulations mapped to object orientation and mouse movement to object translation. The Naive technique mapped raw pressure-sensor values to the object rotation; the Rate-based technique mapped discrete pressure values to speed of rotation and Hierarchical and Hybrid techniques that use a two-step approach to control orientation using pressure. In user study that compared the four techniques with the default mouse-only technique we found that Rate-based PressureMove was the fastest technique with the least number of crossings and as preferred as the default mouse in terms of user-preference. We discuss the implications of our user study and present several design guidelines.
The Longest Path Problem Is Polynomial on Interval Graphs
Authors: Kyriaki Ioannidou, George B. Mertzios, Stavros D. Nikolopoulos
Venue: Proceedings of the 34th International Symposium on Mathematical Foundations of Computer Science 2009 (2009)

The longest path problem is the problem of finding a path of maximum length in a graph. Polynomial solutions for this problem are known only for small classes of graphs, while it is NP-hard on general graphs, as it is a generalization of the Hamiltonian path problem. Motivated by the work of Uehara and Uno in [20], where they left the longest path problem open for the class of interval graphs, in this paper we show that the problem can be solved in polynomial time on interval graphs. The proposed algorithm runs in O(n 4) time, where n is the number of vertices of the input graph, and bases on a dynamic programming approach.
An alignment algorithm using belief propagation and a structure-based distortion model
Authors: Fabien Cromières, Sadao Kurohashi
Venue: Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics (2009)

In this paper, we first demonstrate the interest of the Loopy Belief Propagation algorithm to train and use a simple alignment model where the expected marginal values needed for an efficient EM-training are not easily computable. We then improve this model with a distortion model based on structure conservation.
Dissimilarity Based Vector Space Embedding of Graphs Using Prototype Reduction Schemes
Authors: Kaspar Riesen, Horst Bunke
Venue: Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition (2009)

Graphs provide us with a powerful and flexible representation formalism for object classification. The vast majority of classification algorithms, however, rely on vectorial data descriptions and cannot directly be applied to graphs. In the present paper a dissimilarity representation for graphs is used in order to explicitly transform graphs into n-dimensional vectors. This embedding aims at bridging the gap between the high representational power of graphs and the large amount of classification algorithms available for feature vectors. The basic idea is to regard the dissimilarities to n predefined prototype graphs as features. In contrast to previous works, the prototypes and in particular their number are defined by prototype reduction schemes originally developed for nearest neighbor classifiers. These reduction schemes enable us to omit the cumbersome validation of the embedding space dimensionality. With several experimental results we prove the robustness and flexibility of our new method and show the advantages of graph embedding based on prototypes gained by these reduction strategies.
A New Adaptive Genetic Neural Network Based Active Evolution
Authors: Yan Ying-fu, Wen Hui
Venue: Proceedings of the 2009 Second International Symposium on Electronic Commerce and Security - Volume 01 (2009)

Neural network’s constructions and weights are one aspect of the basic questions. A kind of artificial neural network method based on an active evolution genetic algorithm is proposed. Introduce the algorithm’s basic idea. Active evolution genetic algorithm is combined the active evolution algorithm which is advantaged both overcoming the local optimized value and keeping rapidly convergence. Save time and space for the construction of new network, improve the output’s error precision and find the better way to solve how to build the network’s weights and structures at the beginning. The experiment results show that the algorithm is superior to simple genetic neural network algorithm with higher convergent speed, optimization and practical value of structures and weights, and improves network’s forecasting accuracy.
A Novel Retrieval Oriented Robust Image Hashing Based on Fractional Fourier Transform
Authors: Jinglong Zuo, Delong Cui
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 01 (2009)

In order to improve the security and robustness of image retrieval, a novel image hashing algorithm based on fractional Fourier transform (FRFT) for content-based image retrieval (CBIR) application is proposed in this paper. By employing FRFT and normalized Hamming distance, a robust hashing sequence is obtained by preprocessing, feature extracting and post processing. The security of proposed algorithm is totally depended on the orders of FRFT which are saved as secret keys. For illustration, several benchmark images are utilized to show the feasibility of the image hashing algorithm. Experimental results show that the proposed scheme is robust against perceptually acceptable modifications to the image such as JPEG compression, mid-filtering, and rotation. Therefore, the scheme proposed in this paper is suitable for CBIR application.
An Improvement of Software Architecture Verification
Authors: Zuohua Ding, Jing Liu
Venue: Electronic Notes in Theoretical Computer Science (ENTCS) (2009)

Static analysis may cause state space explosion problem. In this paper we explore differential equation model that makes the task of verifying software architecture properties much more efficient. We demonstrate how ordinary differential equations can be used to verify application-specific properties of an architecture description without hitting this problem. An architecture behavior can be modeled by a group of ordinary differential equations containing some control parameters, where the control parameters are used to represent deterministic/nondeterministic choices. Each equation describes the state change. By checking the conditions associated with the control parameters, we can check whether an equation model is feasible. After solving a feasible equation model, based on the solution behavior and the state variable representation, we can analyze properties of the architecture. A WRIGHT architecture description of the Gas Station problem has been used as the example to illustrate our method. All of the equations have been computed with Matlab tool.
Study on the Risk Sources of Supply Chains Based on System Theory
Authors: Cheng-hua Shi, Kun-jing Dong, Jun-hu Ruan
Venue: Proceedings of the 2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009) (2009)

The paper, analyzing from the system attributes of supply chains, firstly studied risks from the view of System Theory; and lastly tried to propose solutions for the system risks. d the common features and individual features of supply chain system from the perspective of system theory; then, on this basis, the paper discussed in-depth exploration into the sources of supply chains.