ppxscal/embedding_network huggingface dataset:
Ordinal Evaluation: A New Perspective on Country Images
Authors: Marko Robnik-Šikonja, Kris Brijs, Koen Vanhoof
Venue: Proceedings of the 9th Industrial Conference on Advances in Data Mining. Applications and Theoretical Aspects (2009)

We present a novel use of ordinal evaluation (OrdEval) algorithm as a promising technique to study various marketing phenomena. OrdEval algorithm has originated in data mining and is a general tool to analyze data with ordinal attributes, including surveys. Its many favorable features, including context sensitivity, ability to exploit meaning of ordered features and ordered response, and robustness to noise and missing values in the data, offer marketing practitioners a perspective, not available with classical analytical toolbox.We present a case study applying OrdEval algorithm on country-of-origin (COO) information. We demonstrate some interesting advantages it has to offer and show how to extract and interpret new insights allowing marketing practitioners to further optimize the management of products abroad.Data for the empirical study was gathered by means of 1225 questionnaires. Results indicate that, contrary to the classical view on COO-effects, the processing of country-related cognitions, affects and conations is a non-linear and asymmetric phenomenon. The practical implications of this finding for marketers are discussed more in detail.
Sequence Alignment Algorithm in Similarity Measurement
Authors: Li Le, Chen Hongchang, Liu Lixiong
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 01 (2009)

The first and foremost question needed to be considered in clustering analysis is how to measure the similarity that decides the result of clustering immediately. However, are many shortcomings in traditional methods. This paper deals with similarity of English texts using sequence alignment which is always used in biology informatics. This method do not usetraditional way that transform texts so that it is more intuitive. It can improve the rate and the result of clustering preferably. The test demonstrates the new approach is reasonable and efficient.
Adaptive Genetic Algorithm Applied in Coordinated Control of PSS and STATCOM
Authors: Zhijian Liu, Jilai Yu, Hongchun Shu
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 03 (2009)

Firstly, an adaptive genetic algorithm (AGA) is proposed. For traditional genetic algorithm, it easily premature and falls into local optima. A better initial population should have differences among the individuals and distributes uniformly in the whole solution space. In AGA of this paper, initial population is selected according to the Hamming distances to solve this question. Adaptive crossing and mutation probability method also is presented to optimize the population and find the global solution. Secondly, a multi-aim optimal designing method which is based on AGA is applied in the cooperation control of power system stabilizer (PSS) and static compensator (STATCOM). Simulation results show that, used the solution presented in the paper, the stability of power angle and voltage can be effectively enhanced.
Not-So Hidden Information
Authors: Jeremy Clark, Urs Hengartner, Kate Larson
Venue: Proceedings of the 2nd International Conference on E-Voting and Identity (2009)

This paper considers coercion contracts in voting systems with end-to-end (E2E) verifiability. Contracts are a set of instructions that an adversary can dictate to a voter, either through duress or by offering payment, that increase the probability of a compliant voter constructing a vote for the adversary's preferred candidate. Using a representative E2E system, we place the attacks in game-theoretic terms and study the effectiveness of three proposed contracts from the literature. We offer a definition of optimality for contracts, provide an algorithm for generating optimal contracts, and show that as the number of candidates increases, the adversary's advantage through the use of contracts decreases. We also consider the use of contracts in a heterogeneous population of voters and for financially constrained adversaries.
Interactive image segmentation by maximal similarity based region merging
Authors: Jifeng Ning, Lei Zhang, David Zhang, Chengke Wu
Venue: Pattern Recognition (2010)

Efficient and effective image segmentation is an important task in computer vision and object recognition. Since fully automatic image segmentation is usually very hard for natural images, interactive schemes with a few simple user inputs are good solutions. This paper presents a new region merging based interactive image segmentation method. The users only need to roughly indicate the location and region of the object and background by using strokes, which are called markers. A novel maximal-similarity based region merging mechanism is proposed to guide the merging process with the help of markers. A region R is merged with its adjacent region Q if Q has the highest similarity with Q among all Q's adjacent regions. The proposed method automatically merges the regions that are initially segmented by mean shift segmentation, and then effectively extracts the object contour by labeling all the non-marker regions as either background or object. The region merging process is adaptive to the image content and it does not need to set the similarity threshold in advance. Extensive experiments are performed and the results show that the proposed scheme can reliably extract the object contour from the complex background.
Application of Probabilistic Neural Network Model in Evaluation of Water Quality
Authors: Changjun Zhu, Zhenchun Hao
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 01 (2009)

In view of the defect of traditional water quality evaluation model, a probabilistic neural network (PNN) is developed to evaluate surface water quality in Jining. Probabilistic neural network is a new type neural network consisting Radical Basis network and compete neural network, which is simple in structure, easy for training and wide used. PNN model is applied to evaluate water quality at representative sections in Jining surface area from the year 1999-2002. The results indicate that PNN model is suitable for water quality evaluation. By analysis, it is important to pay attention to bring into effective measures for pollution control
Creating Realistic Human Motions with PBSO
Authors: Zhihua Chen, Shengxi Wu, Hong Zheng, Wei Meng, Xin Xu
Venue: Proceedings of the 2009 Second International Conference in Visualisation (2009)

It is a difficult task to create a realistic human animation because of the high complexity of human motion. Toaddress this problem, a new method is presented forproducing physically valid motion with example motions. The core of our method is physics-based space-timeoptimization (PBSO). PBSO introduces physical constraints into conventional space-time optimization and then ensure the physical reality of the edited motion. The intermediate model is employed to solve the convergence of optimization process. The original motion is transformed into the simplified motion and then edited. Experiments shows the captured motion data can be correctly copied to a new character or new path with the approach.
Annotating smart environment sensor data for activity learning
Authors: S. Szewcyzk, K. Dwan, B. Minor, B. Swedlove, D. Cook
Venue: Technology and Health Care (2009)

The pervasive sensing technologies found in smart homes offer unprecedented opportunities for providing health monitoring and assistance to individuals experiencing difficulties living independently at home. In order to monitor the functional health of smart home residents, we need to design technologies that recognize and track the activities that people perform at home. Machine learning techniques can perform this task, but the software algorithms rely upon large amounts of sample data that is correctly labeled with the corresponding activity. Labeling, or annotating, sensor data with the corresponding activity can be time consuming, may require input from the smart home resident, and is often inaccurate. Therefore, in this paper we investigate four alternative mechanisms for annotating sensor data with a corresponding activity label. We evaluate the alternative methods along the dimensions of annotation time, resident burden, and accuracy using sensor data collected in a real smart apartment.
A Biometric Identification Using the Motion of Fingers
Authors: Nobuyuki Nishiuchi, Shungo Komatsu, Kimihiro Yamanaka
Venue: Proceedings of the 2009 International Conference on Biometrics and Kansei Engineering (2009)

We propose a new method of biometric identification using the bending motion of fingers that is one of the highest repeated motions of the body. Forefingers consist of hinge joints that enable them to move in one direction only. They also have a tendon that helps the first joint of the finger move in tandem with the second joint. It causes high repeatability. In the algorithm, curvature, one of the behavioral profiles, is calculated from the edge pixels of binary image of the forefinger. Joint angle of the forefinger is measured, and the behavioral profiles are compared only when the joint angle of compared data is consistent with registered data. Proposed behavioral biometrics is able to define the comparison based on temporal continuity and static profiles providing high accuracy. From the experimental results, it is learned that this much data is sufficiently accurate for the identification.
Study and Application of Patterns in Software Reuse
Authors: Zemin Zhu
Venue: Proceedings of the 2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009) (2009)

This paper analyzes three different granularity levels in the software patterns, which are architectural patterns, design patterns, idioms, etc. An effective method of software development based on the software patterns reuse is given. The information publication subsystem in basic education information platform is demonstrated as an example to introduce the applications of architectural patterns, and logger module is demonstrated as an example to introduce the applications of design patterns. Application practice shows that the development based on the reuse of software patterns have many advantages. With the increasing scale of software, more complex procedures, the advantages of reusable software patterns will be more significant.
Atmospheric Visibility Monitoring Using Digital Image Analysis Techniques
Authors: Jiun-Jian Liaw, Ssu-Bin Lian, Yung-Fa Huang, Rung-Ching Chen
Venue: Proceedings of the 13th International Conference on Computer Analysis of Images and Patterns (2009)

Atmospheric visibility is a standard of human visual perception of the environment. It is also directly associated with air quality, polluted species and climate. The influence of urban atmospheric visibility affects not only human health but also traffic safety and human life quality. Visibility is traditionally defined as the maximum distance at which a selected target can be recognized. To replace the traditional measurement for atmospheric visibility, digital image processing schemes provide good visibility data, established by numerical index. The performance of these techniques is defined by the correlation between the observed visual range and the obtained index. Since performance is affected by non-uniform illumination, this paper proposes a new procedure to estimate the visibility index with a sharpening method. The experimental results show that the proposed procedure obtains a better correlation coefficient than previous schemes.
2D Human Pose Estimation in TV Shows
Authors: Vittorio Ferrari, Manuel Marín-Jiménez, Andrew Zisserman
Venue: Statistical and Geometrical Approaches to Visual Motion Analysis: International Dagstuhl Seminar, Dagstuhl Castle, Germany, July 13-18, 2008. Revised Papers (2009)

The goal of this work is fully automatic 2D human pose estimation in unconstrained TV shows and feature films. Direct pose estimation on this uncontrolled material is often too difficult, especially when knowing nothing about the location, scale, pose, and appearance of the person, or even whether there is a person in the frame or not.We propose an approach that progressively reduces the search space for body parts, to greatly facilitate the task for the pose estimator. Moreover, when video is available, we propose methods for exploiting the temporal continuity of both appearance and pose for improving the estimation based on individual frames.The method is fully automatic and self-initializing, and explains the spatio-temporal volume covered by a person moving in a shot by soft-labeling every pixel as belonging to a particular body part or to the background. We demonstrate upper-body pose estimation by running our system on four episodes of the TV series Buffy the vampire slayer (i.e. three hours of video). Our approach is evaluated quantitatively on several hundred video frames, based on ground-truth annotation of 2D poses. Finally, we present an application to full-body action recognition on the Weizmann dataset.
Relationship between Kanamori-McAloon Principle and Paris-Harrington Theorem
Authors: Gyesik Lee
Venue: Proceedings of the 5th Conference on Computability in Europe: Mathematical Theory and Computational Practice (2009)

We give a combinatorial proof of a tight relationship between the Kanamori-McAloon principle and the Paris-Harrington theorem with a number-theoretic parameter function. We show that the provability of the parametrised version of the Kanamori-McAloon principle can exactly correspond to the relationship between Peano Arithmetic and the ordinal ¿ 0 which stands for the proof-theoretic strength of Peano Arithmetic. Because A. Weiermann already noticed the same behaviour of the parametrised version of Paris-Harrington theorem, this indicates that both propositions behave in the same way with respect to the provability in Peano Arithmetic.
The Fuzzy Evaluation of Surface Water Quality in LiuJiazhuang of QingZhang River
Authors: Ji-hong Zhou, Biao Zhang, Cai-lian Hao, Chang-jun Zhu, Jun-guang Zhao
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 01 (2009)

Basing on the monitoring data of water quality of LiuJiazhuang section and the analysis results of 4 years, applying fuzzy comprehensive evaluation model, according to《Environmental quality standard for surface water》to establish the relevant subjection functions, the quality evaluation of surface water in LiuJiazhuang section is made in this paper. The result shows that the change about the water quality in LiuJiazhuang is not obvious, which belongs to the II Grade and III Grade water standard, and the conditions of water quality are better. At the same time we should take effective monitoring measures of water quality and methods, set up and improve the water quality monitoring networks for the regular routine monitoring and emergency monitoring, adopt a good way in the rational utilization of water resources, protect the health of people, seek the sustainable development of society, economy, and environment, and make use of water resources and water environment forever.
Enhancing the Effectiveness of Fingerprint-Based Virtual Screening: Use of Turbo Similarity Searching and of Fragment Frequencies of Occurrence
Authors: Shereena M. Arif, Jérôme Hert, John D. Holliday, Nurul Malim, Peter Willett
Venue: Proceedings of the 4th IAPR International Conference on Pattern Recognition in Bioinformatics (2009)

Binary fingerprints encoding the presence of 2D fragment substructures in molecules are extensively used for similarity-based virtual screening in the agrochemical and pharmaceutical industries. This paper describes two techniques for enhancing the effectiveness of screening: the use of a second-level search based on the nearest neighbours of the initial reference structure; and the use of weighted fingerprints encoding the frequency of occurrence, rather than just the mere presence, of substructures. Experiments using several databases for which both structural and bioactivity data are available demonstrate the effectiveness of these two approaches.
Normalized-scale Relations and Their Concept Lattices in Relational Databases
Authors: Yuxia Lei, Yuefei Sui, Cungen Cao
Venue: Fundamenta Informaticae (2009)

Formal Concept Analysis (FCA) is a valid tool for data mining and knowledge discovery, which identifies conceptual structures from (formal) contexts. As many practical applications involve non-binary data, non-binary attributes are introduced via a many-valued context in FCA. In FCA, conceptual scaling provides a complete framework for transforming any many-valued context into a context, in which each non-binary attribute is given a scale, and the scale is a context. Each relation in relational databases is a many-valued context of FCA. In this paper, we provide an approach toward normalizing scales, i.e., each scale can be represented by a nominal scale and/or a set of statements. One advantage of normalizing scales is to avoid generating huge (binary) derived relations. By the normalization, the concept lattice of a derived relation is reduced to a combination of the concept lattice of a derived nominal relation and a set of statements. Hence, without transforming a relation into a derived relation, one can not only determine concepts of the derived relation from concepts of given scales, but also determine concepts of the derived relation from concepts of a derived nominal relation and a set of statements. The connection between the concept lattice of a derived nominal relation and the concept lattice of a derived relation is also considered.
Offline Kinematics Simulation of 6-DOF Welding Robot
Authors: Guojun Wen, Linhong Xu, Fulun He
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 02 (2009)

Since the advent of the robots, they are widely applied in many areas of industry all over the world. With the advancement of the robot, many new research theories and technologies are developed on it. The single one impacted much more quickly and significantly is the application of computer offline simulation technology nowadays. Based on some relevant theories of robot, this paper suggests a new approach toward the offline research for the industrial robot. This method combines three advanced softwares with each playing an important role and making the best of their advantages respectively. It built a 3-D model for a 6-DOF welding robot in SolidWorks, worked out the simulation results of expected processing trajectory planning for the six links in MATLAB, then verified the trajectory simulation results and simulated the motion further in ADAMS. The kinematics simulation produced the processing motion course and relevant kinematics curves. The results indicate that the manipulator could implement the welding process according to the expected trajectory successfully and the total welding　motion process and the poses of the robot just in time could be observed intuitively and dynamically. Also, this simulation lays a foundation for other virtual offline kinematics researches on robot by using relevant computer softwares without the actual robot.
Fly! Little Me: Localization of Body-Image within Reduced-Self
Authors: Tatsuya Saito, Masahiko Sato
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part II: Novel Interaction Methods and Techniques (2009)

In conventional interface design, manipulated objects are visually represented and an actor of manipulation is a user's physical body. Although it is a bodily contact between the user and the virutla objects, these virtual objects are detached from the user's physical body and are usually operated as target objects through an interface device. We propose a new type of embodied interaction based on visual-somatosensory integration to evoke localization of a user's body-image within a visual object on a screen. The major difference between conventional interation and the proposed framework is whether the center of the user's body-image is localized within the screen or outside of the screen. When the user's body-image is outside of the screen, manipulation of screen objects is transitive action, or target operation under a subject-object structure. In contrast, when the user's body-image is localized within a screen object, the operation of the object becomes intransitive action and the user operates the screen object as if he moves a part of his body. Although object manipulation as intransitive action indeed has a history as long as interface design itself, it has not yet been exposed to thorough inspection. To qualitatively analyze intransitive manipulation and effect of body-image localization, which we think is a core factor, we implemented an interactive system based on several proposed design principles and exhibited the system at a gallery opened for the public to collect qualitative evidences on the effect.
Comparison of Two Gabor Texture Descriptor for Texture Classi?cation
Authors: Xu Zhan, Sun Xingbo, Lei Yuerong
Venue: Proceedings of the 2009 WASE International Conference on Information Engineering - Volume 01 (2009)

Gabor texture descriptor have gained much attention fordifferent aspects of computer vision and pattern recogni-tion. Recently, on the rayleigh nature of Gabor ﬁlter out-puts Rayleigh model Gabor texture descriptor is proposed.In this paper, we investigate the performance of these twoGabor texture descriptor in texture classiﬁcation. We builta texture classiﬁcation system based on BPNN, and use thecorresponding feature vector from traditional Gabor texturedescriptor or Rayleigh model one as input of BPNN. We usethree datasets from the Brodatz album database. For allthe three datasets, the original texture images are subdi-vided into non-overlapping samples of size 32 × 32. 50%of the total samples are used for training and the rest areused for testing. We compare the system training time andrecognition accuracy between two Gabor texture descriptor.The experimental results show that, it takes more time whenusing Rayleigh model Gabor texture descriptor than tradi-tional one, and the traditional Gabor texture descriptor ismore accuracy. Rayleigh model Gabor texture descriptormodiﬁes texture descriptor with nearly half the dimension-ality and less computational expense, but it lose some per-formance compared with traditional one.
Analysis for Emergency-Mechanism of Natural Disasters in Highway Based on ISM
Authors: Zuo Zhiwu, Wang Xuancang
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 02 (2009)

According to the system engineering theory, emergency-mechanism system of emergent natural disasters in highway has been constructed. In addition, its factors were qualitatively and quantitatively processed, and a multi-level recursive interpretation structure model for emergency-mechanism was established. By the model, emergency-mechanism system of Xi’an-Hanzhong expressway in Wenchuan earthquake has been analyzed and interrelated factors has been classified.Either longitudinal or latitudinal relation between factors is fully analyzed, and the basic importance of information and leadership is cleared. In addition, humanized service is the most important element. It could provide the scientific basis for construction of the emergency-mechanism system in highway.