ppxscal/embedding_network huggingface dataset:
Multivariate classification of urine metabolome profiles for breast cancer diagnosis
Authors: Younghoon Kim, Imhoi Koo, Byung Hwa Jung, Bong Chul Chung, Doheon Lee
Venue: Proceeding of the third international workshop on Data and text mining in bioinformatics (2009)

Diagnosis techniques using urine are non-invasive, inexpensive, and easy to perform in clinical settings. The metabolites in urine, as the end products of cellular processes, are closely linked to phenotypes. Although research using urine metabolome has many advantages, there can also be problems, such as multiple characteristic signals mixing or averaging into undistinguishable signals. As a result, it seems that univariate methods cannot identify precise boundaries between two groups, such as cancerous and normal samples. Moreover, due to individual differences in genetic makeup and heterogeneity in cancer progression, the analysis of combinatorial information from many variables seems to be more suitable than univariate analysis. In this study, we therefore propose classification models using multivariate classification techniques and develop an analysis procedure for classification studies using metabolome data. Through this strategy, we identified five potential urinary biomarkers for breast cancer with high accuracy and also proposed potential diagnosis rules to help in clinical decision making. After further validation with independent cohorts and experimental confirmation, these marker candidates will likely lead to clinically applicable assays for earlier diagnoses of breast cancer. This multivariate classification research is the second trial in metabolome analysis after Denkert et al. and the first for urine metabolome studies.
Research of the Enterprise Application Integration Platform Based on Multi-agent
Authors: Guozheng Wang, Jijie Zheng, Haiyan Wu, Ying Tang
Venue: Proceedings of the 2009 Fifth International Joint Conference on INC, IMS and IDC (2009)

An enterprise integration framework based on agents the is proposed in this paper. It includes four layers-interface layer, coordination layer, application layer and data layer - into which different agents are introduced. By analyzing the different structure of each type of the agents, user interface agent model is suggested by taking the example of the user agent. Meanwhile, according to the current situation of thein the Jiefeng garment limited company and the enterprise’s characteristics, it realizes the sharing and interaction of the information in the system and the information integration at the process level. The system now gets a good application in Jiefeng garment company in Zhejiang province.
Real-Time Human Tracker Based on Location and Motion Recognition of User for Smart Home
Authors: Quoc Cuong Nguyen, Dongil Shin, Dongkyoo Shin, Juhan Kim
Venue: Proceedings of the 2009 Third International Conference on Multimedia and Ubiquitous Engineering (2009)

The ubiquitous smart home provides an automatic home service via analysis of human and home contexts. It receives a lot of contexts from the human and the home environment, but the most important context is information about the human’s location and motion. In this paper, we present a real-time human tracker that detects human location and motion using cameras and predicts services in the ubiquitous smart home. We propose an algorithm that captures effective area from four network cameras in which human is detected and his position is estimated. To detect human motion, three kinds of images are used: IMAGE1: empty room image, IMAGE2: image of furniture and home appliances in the home, IMAGE3: image of IMAGE2 and the human. The system decides if specific furniture or home appliance is associated with the human by analyzing three images, and estimates human motion using a support vector machine (SVM). Human motion was recognized as four types: "lie down", "sit", "stand-up", and "walk". The human motion recognition is decided from the pixel number by the array line of the moving object using SVM. We evaluated each motion 1000 times. The average accuracy of all the motions was found to be 85.3%.
Analysis and Design of Fully Differential Gain-Boosted Op-amp for 14bit 100MS/s Pipelined Analog-to-Digital Converter
Authors: Feng Wenxiao, Lu Tiejun, Wang Zongmin
Venue: Proceedings of the 2009 Fifth International Joint Conference on INC, IMS and IDC (2009)

This paper presents the analysis and design of high speed, high gain fully differential operational amplifier(op-amp). The op-amp is designed for sample and hold circuit of 14 bit 100MS/s pipelined analog-to-digital converter (ADC). Both the main op-amp and the boosting op-amp are fully differential folded-cascode. The main op-amp has a switched capacitance common mode feedback circuit. The boosting op-amp is connected as a follower. The op-amp is designed in 0.18um CMOS process with 3.0V power supply. Spectre simulation shows that the op-amp has the DC gain of 112dB and the unity gain bandwidth of 1.15GHz.
Security Analysis of Content-Based Watermarking Authentication Framework
Authors: Jinwei Wang, Guangjie Liu, Shiguo Lian
Venue: Proceedings of the 2009 International Conference on Multimedia Information Networking and Security - Volume 01 (2009)

This paper analyzes the security of content-based watermarking authentication framework in the extraction of the feature watermark and the watermark embedding using information theory. Security analysis of feature watermark is composed of four parts, that is, the extracted feature is as watermark, the encrypted feature after extracted is as watermark, the encrypted feature before extracted is as watermark and the encrypted feature while extracted is as watermark. Security of watermark embedding is analyzed from two parts, that is, the watermark embedding is controlled by secret key and the watermark embedding is no secret key. Additionally, the integration security of the feature watermark and the watermark embedding is analyzed from eight aspects. Through the security analysis of these architectures, some important conclusions are proved and drawn, and the corresponding suggestions are pointed out. 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
Inquiry of Design on Data Table
Authors: Gang Tu, Wei Fu, Huaqing Liu
Venue: Proceedings of the 2009 Second International Symposium on Knowledge Acquisition and Modeling - Volume 03 (2009)

An appropriate data table structure can greatly improve query performance of the data in database. After analyzing storage structure of SQL Server, this paper proposes some suggestions for design on data table which have been verified in practice. These suggestions will be important to direct designing data table.
Nonlinear Dynamic Analysis of Earthquake Model
Authors: Cheng-Chi Wang, Her-Terng Yau, Yen-Liang Yeh, Ming-Jyi Jang
Venue: Proceedings of the 2009 Second International Symposium on Knowledge Acquisition and Modeling - Volume 01 (2009)

This paper studies the nonlinear behaviors of an earthquake model including periodic, quasi-periodic, and chaotic motions. The Differential Transformation method is employed to solve the govern-equation. The system state phase portraits, Poincaré maps, power spectra, and bifurcation diagrams are used to analyze the dynamic behavior of the model in the horizontal direction under different operating conditions. This paper shows how the dynamic behavior of this type of system varies with changes in α, β, and γ.
An optimal chip-level OCDMA detector by using photon counting
Authors: Shaw Wei Kok, Ying Zhang, Yeng Chai Soh
Venue: IEEE Transactions on Communications (2009)

This paper studies the optimal bit error rate (BER) performance of chip-level detection for optical code division multiple-access (OCDMA) systems in the presence of shot noise. To attain the optimal BER of chip-level detection, a chip-level detector that uses a limiter on the photon counts at each weighted chip is first proposed. Then, the monotonicity of the likelihood ratio used in the maximum a posteriori (MAP) probability criterion is established. With this monotonicity, a sufficient condition characterized by the cap levels of the limiters and the average photon counts per pulse is obtained, under which the detector is simply an AND detector to attain the optimal BER of chip-level detection. The detector's performance and its comparison to those of other detectors are also studied by numerical studies.
Steganalysis Based on Neighbourhood Node Degree Histogram for LSB Matching Steganography
Authors: Bin Xia, Xingming Sun, Jiaohua Qin
Venue: Proceedings of the 2009 International Conference on Multimedia Information Networking and Security - Volume 02 (2009)

In this paper, we propose a new method to detect least significant bit (LSB) matching steganography which is based on neighbourhood node degree histogram characteristic function (NDHCF). First we calculate the center of mass (COM) of the NDHCF then embed another random secret message to compute the alteration rate of the NDHCF COM. We select NDHCF COM and the alteration rate as features and use support vector machines as a classifier. Experimental results demonstrate that the proposed method is efficient to detect the LSB matching stegonagraphy on compressed or uncompressed images and has superior results compared with other recently proposed algorithms.
A Telehealth architecture for networked embedded systems: a case study in in vivo health monitoring
Authors: Foad Dabiri, Tammara Massey, Hyduke Noshadi, Hagop Hagopian, C. K. Lin, Robert Tan, Jacob Schmidt, Majid Sarrafzadeh
Venue: IEEE Transactions on Information Technology in Biomedicine (2009)

The improvement in processor performance through continuous breakthroughs in transistor technology has resulted in the proliferation of lightweight embedded systems. Advances in wireless technology and embedded systems have enabled remote healthcare and telemedicine. While medical examinations could previously extract only localized symptoms through snapshots, now continuous monitoring can discretely analyze how a patient's lifestyle affects his/her physiological conditions and if additional symptoms occur under various stimuli. We demonstrate how medical applications in particular benefit from a hierarchical networking scheme that will improve the quantity and quality of ubiquitous data collection. Our Telehealth networking infrastructure provides flexibility in terms of functionality and the type of applications that it supports.We specifically present a case study that demonstrates the effectiveness of our networked embedded infrastructure in an in vivo pressure application. Experimental results of the in vivo system demonstrate how it can wirelessly transmit pressure readings measuring from0 to 1.5 lbf/in2 with an accuracy of 0.02 lbf/in2. The challenges in biocompatible packaging, transducer drift, power management, and in vivo signal transmission are also discussed. This research brings researchers a step closer to continuous, real-time systemic monitoring that will allow one to analyze the dynamic human physiology.
Information Technology Strategic Planning
Authors: Edward K. Hong
Venue: IT Professional (2009)

Understanding an enterprise's IT requirements and providing innovative IT solutions are essential to keeping a business flourishing. An IT strategic plan based on a shared vision with stakeholders is critical to any successful enterprise and requires continual updating. The three building blocks for constructing an IT strategic plan are performing an IT assessment to understand the issues, problems, and needs for delivering outstanding service to customers; aligning the IT strategy with business drivers, management expectations, and customer requirements to ensure that the enterprise receives the right solutions; and formulating initiatives to improve business performance and IT services over time. Key elements common to most enterprises, such as IT assessment approach, business drivers, and management and customer expectations, can serve as a baseline for constructing the IT strategic plan.
A genetic algorithm for solving the two-dimensional assortment problem
Authors: Chang-Chun Lin
Venue: Computers and Industrial Engineering (2006)

Assortment problems arise in various industries such as the steel, paper, textiles and transportation industries. Two-dimensional assortment problems involve finding the best way of placing a set of rectangles within another rectangle whose area is minimized. Such problems are nonlinear and combinatorial. Current mixed integer programming models give optimal solutions, but the computation times are unacceptable. This study proposes a genetic algorithm that incorporates a novel random packing process and an encoding scheme for solving the assortment problem. Numerical examples indicate that the proposed genetic algorithm is considerably more efficient and effective than a fast integer programming model. Errors with respect to the optimal solutions are low such that numerous practical industrial cutting problems can be solved efficiently using the proposed method.
Capacity analysis of cooperative systems with relay selection in Nakagami-m fading
Authors: Daniel Benevides Da Costa, Sonia Aïssa
Venue: IEEE Communications Letters (2009)

In this Letter, tight closed-form approximations for the ergodic capacity of dual-hop fixed-gain relaying systems are derived. Our analysis allows for independent Nakagami-m fading channels, with partial relay selection being employed in the first-hop transmission. Simulation results are presented in order to confirm the accuracy of the proposed approximations. It is noteworthy that our formulations can be easily extended for the outage capacity analysis and guidelines for such are provided.
Aspect-based sentence segmentation for sentiment summarization
Authors: Jingbo Zhu, Muhua Zhu, Huizhen Wang, Benjamin K. Tsou
Venue: Proceeding of the 1st international CIKM workshop on Topic-sentiment analysis for mass opinion (2009)

Aspect-based sentiment summarization systems generally use sentences associated with relevant aspects extracted from the reviews as the basis for summarization. However, in real reviews, a single sentence often exhibits several aspects for opinions. This paper proposes a two-stage segmentation model to address the challenge of identifying multiple single-aspect and single-polarity units in one sentence, namely aspect-based sentence segmentation. Our model deals with both issues of aspect change and polarity change occurring in the input sentence. Experiments on restaurant reviews show that our model outperforms state-of-the-art linear text segmentation methods.
Discrete-time recurrent neural networks with complex-valued linear threshold neurons
Authors: Wei Zhou, Jacek M. Zurada
Venue: IEEE Transactions on Circuits and Systems II: Express Briefs (2009)

This brief discusses a class of discrete-time recurrent neural networks with complex-valued linear threshold neurons. It addresses the boundedness, global attractivity, and complete stability of such networks. Some conditions for those properties are also derived. Examples and simulation results are used to illustrate the theory.
Design and development of innovative physics simulations and teaching materials for the learning of the concept of energy
Authors: Anastasios Pallas, Helen Stavridou, Evangelos Triantafillou
Venue: Proceedings of the 10th IASTED International Conference on Computers and Advanced Technology in Education (2007)

This paper describes an innovative educational approach for the teaching of the concept of energy, by the use of 12 simulations developed with the educational software "Modellus". The concept of energy is a very abstract concept and according to the literature, many secondary students face learning difficulties and develop alternative ideas that persist after teaching. The purpose of this work was the design and development of new learning materials (simulations, worksheets for the students, teacher guide) according to a constructivistic point of view, in order to help secondary students better understand various phenomena, apply the law of energy conservation in a satisfactory way and overcome their learning difficulties about energy. This educational approach is based on the modelization of energy with: a) the energy transfer model and b) the visualization of energy (stored in a system, or transferred from one system to another) with appropriate representations (bars and arrows). An example simulation of an experimental situation is presented and discussed, in order to show how students can interact with the simulation and work on the proposed learning activities.
Crossover probability estimation using mean-intrinsic-LLR of LDPC syndrome
Authors: Yong Fang
Venue: IEEE Communications Letters (2009)

This paper reveals that the residual redundancies in LDPC syndromes can be used to estimate the crossover probability between two correlated binary sequences. This work simplifies the algorithm proposed in [10]. In addition, by using the mean of intrinsic Log-Likelihood Ratios (LLRs) of LDPC syndromes, this work also applies to irregular LDPC codes. The proposed algorithm performs well in simulations.
Multivariate distributions for workload generation in video on demand systems
Authors: David Melendi, Roberto Garcia, Xabiel G. Pañeda, Victor Garcia
Venue: IEEE Communications Letters (2009)

In this letter we present an analysis of workload in a real video on demand service with the objective of generating more accurate input data for simulation models. As well as statistically characterizing key aspects in the server workload of the multimedia system, we consider their statistical dependencies. We propose a procedure to generate multivariate distributions using normal copulas in the video on demand system. Results show that the proposed method fits exactly the statistical distributions to the empirical data and matches the real correlation coefficients matrix.
An efficient multi-dimensional index for cloud data management
Authors: Xiangyu Zhang, Jing Ai, Zhongyuan Wang, Jiaheng Lu, Xiaofeng Meng
Venue: Proceeding of the first international workshop on Cloud data management (2009)

Recently, the cloud computing platform is getting more and more attentions as a new trend of data management. Currently there are several cloud computing products that can provide various services. However, currently the cloud platforms only support simple keyword-based queries and can't answer complex queries efficiently due to lack of efficient index techniques. In this paper we propose an efficient approach to build multi-dimensional index for Cloud computing system. We use the combination of R-tree and KD-tree to organize data records and offer fast query processing and efficient index maintenance. Our approach can process typical multi-dimensional queries including point queries and range queries efficiently. Besides, frequent change of data on big amount of machines makes the index maintenance a challenging problem, and to cope with this problem we proposed a cost estimation-based index update strategy that can effectively update the index structure. Our experiments show that our indexing techniques improve query efficiency by an order of magnitude compared with alternative approaches, and scale well with the size of the data. Our approach is quite general and independent from the underlying infrastructure and can be easily carried over for implementation on various Cloud computing platforms.
Optimal scheduling for multiple description video streams in wireless multihop networks
Authors: Liang Zhou, Xinbing Wang, Yajun Li, Baoyu Zheng, Benoît Geller
Venue: IEEE Communications Letters (2009)

In this work, we investigate the optimal system scheduling for competing multiple description (MD) video streams in a resource-limited wireless multihop network. By joint optimization of MD, rate control and multipath routing, we propose an optimal joint rate control and routing algorithm to solve this problem with constraints that arise from the MD streams among multiple users via multiple paths. We design this joint algorithm in a distributed manner that is amenable to on-line implementation for wireless networks.
Color Based Segmentation and Shape Based Matching of Forest Flames from Monocular Images
Authors: Zhong Zhang, Jianhui Zhao, Zhiyong Yuan, Dengyi Zhang, Shizhong Han, Chengzhang Qu
Venue: Proceedings of the 2009 International Conference on Multimedia Information Networking and Security - Volume 01 (2009)

This paper proposes novel algorithms for color based segmentation and shape based matching of forest fires from video frames. Fire pixels from the sample images are collected and compose 3D point cloud in RGB color space, based on which Gaussian mixture model is used to build a more precise color model. According to new definition of flame pattern, possible fire region is further segmented with the help of HSV color space. The segmented results are labeled and the ratios of different color pixels are calculated. The candidate fire regions among consecutive frames are then matched using our defined overlapping degree and varying degree of two regions. From the matched candidate fire regions, dynamic features are presented including area, roundness, contour and color distribution, which can be taken as useful features for the recognition of forest flames. Our work has been tested with experiments and proved very valuable to predict forest fire and protect forest resources.
An Efficient Scheme of Group Signature Based on DSA
Authors: Danni Liu, Xingwei Wang, Lei Guo, Min Huang
Venue: Proceedings of the 2009 International Conference on Multimedia Information Networking and Security - Volume 02 (2009)

A novel signature scheme based on DSA is proposed. When adding group member, parameters transferred between group member and group center were strengthened verified to ensure the information accurate. When deleting group member, modification to public key of group member was restricted to ensure that the deleted member was unable to sign. The parameters in the proposed scheme are less than 160bits which is more efficient than the scheme based on RSA. Analysis shows that the proposed scheme satisfies security properties of the group signature.
Motion autonomy for humanoids: experiments on HRP-2 No. 14
Authors: Eiichi Yoshida
Venue: Computer Animation and Virtual Worlds (2009)

This paper deals with whole-body motion planning and dynamic control for humanoid from two aspects: locomotion including manipulation and reaching. In the first part, we address a problem of simultaneous locomotion and manipulation planning that combines a geometric and kinematic motion planner with a dynamic humanoid motion generator. The second part deals with whole-body reaching tasks by using a generalized inverse kinematics (IK) method to fully exploit the high redundancy of the humanoid robot. Through experiments using humanoid platform HRP-2 No. 14 installed at LAAS-CNRS, we first verify the validity of each method. An integrated experiment is then presented that unifies the both results via visual perception to execute an object-fetching task. Copyright &copy; 2009 John Wiley & Sons, Ltd. We present whole-body motion planning and dynamic control for humanoid from two aspects: locomotion including manipulation and reaching. The first part is addressed by unifying the motion planning technique and a dynamic humanoid motion generator and the second part is handled with generalized inverse kinematics to fully exploit the redundancy of the humanoid robot. By integrating visual sensor inputs, the effectiveness has been verified by the experiment of object-carrying tasks humanoid platform HPR-2 No. 14 at LAAS-CNRS, Toulouse, France.