ppxscal/embedding_network huggingface dataset:
Short Communication: The lot size-reorder level inventory system with customers impatience functions
Authors: L. A. San José, J. Sicilia, J. García-Laguna
Venue: Computers and Industrial Engineering (2005)

In this paper, we study a continuous review inventory model with deterministic demand. The model allows shortages, which are partially backlogged. The backlogging is characterized using an approach in which customers are considered impatient. Total profit function is developed using three general costs: holding cost, order cost and shortage cost. Holding cost is based on average stocks and order cost is fixed per replenishment. In shortage cost, we include three significant costs: the unit backorder cost (depending on the shortage time), the goodwill cost (constant) and the opportunity cost. A general approach is presented to determine the economic lot size, the reorder level and the minimum total inventory cost. We consider two customers impatience functions to illustrate the application of the procedure. This paper extends several models studied by other authors.
Dynamic Multicore Resource Management: A Machine Learning Approach
Authors: Jose F. Martinez, Engin Ipek
Venue: IEEE Micro (2009)

A machine learning approach to multicore resource management produces self-optimizing on-chip hardware agents capable of learning, planning, and continuously adapting to changing workload demands. This results in more efficient and flexible management of critical hardware resources at runtime.
A usability comparison of PDA-based quizzes and paper-and-pencil quizzes
Authors: Noa Segall, Toni L. Doolen, J. David Porter
Venue: Computers Education (2005)

In the last few years, schools and universities have incorporated personal digital assistants (PDAs) into their teaching curricula in an attempt to enhance students' learning experience and reduce instructors' workload. One of the most common uses of PDAs in the classroom is as a test administrator. This study compared the usability effectiveness, efficiency, and satisfaction of a PDA-based quiz application to that of standard paper-and-pencil quizzes in a university course. Effectiveness was measured as students' quiz scores and through a mental workload questionnaire; efficiency was the time it took students to complete each quiz; and satisfaction was evaluated using a subjective user satisfaction questionnaire. The study showed the PDA-based quiz to be more efficient, that is, students completed it in less time than they needed to complete the paper-and-pencil quiz. No differences in effectiveness and satisfaction were found between the two quiz types. Computer anxiety was not affected by the quiz type. For these reasons, as well as other advantages to both students (e.g., real-time scoring) and teachers (e.g., less time spent on grading), PDAs are an attractive test administration option for schools and universities.
Multi-camera Calibration Based on Iterative Factorization of Measurement Matrix
Authors: Chao Zhang, Dong-xiao Li, Ming Zhang
Venue: Proceedings of the 2009 Third International Conference on Multimedia and Ubiquitous Engineering (2009)

We propose a joint multi-camera calibration algorithm based on iterative factorization of the measurement matrix. The matrix is composed of homographies between the model plane and its images. Rescaling and decomposition of the measurement matrix are implemented with series of 3D reconstruction techniques. Since these techniques deal well with the missing data, the model plane disposed in the calibration is not required to be observed by all the cameras simultaneously. The proposed algorithm is a convenient choice for practical use. Both intrinsic and extrinsic parameters are well calculated from the decomposed camera matrix at the same time. The validity of the proposed algorithm was verified through simulation and experiments with real data.
Design and Implementation of Chinese Text Clustering System
Authors: Ying Tan, Lan Huang, Hong Qi, Yandong Zhai
Venue: Proceedings of the 2009 Fifth International Joint Conference on INC, IMS and IDC (2009)

Clustering technology is the core technology of text mining. Through text clustering, a large number of text messages can be divided into several meaningful classes or clusters. According to the features of Chinese documents, this paper designs and implements the Chinese Text Clustering System to perform automatic clustering of Chinese documents. Firstly, this system will carry out Chinese word automatic segmentation for the input Chinese document sets by using reverse maximum matching method. Secondly, further text preprocessing is performed. Finally the K-means clustering algorithm is used to obtain the clustering results. The prototype system can also be used in clustering Chinese Web pages to search for user's interest model by search engines, which will improve the efficiency of searching the target content.
Texture Analysis of Smoke for Real-Time Fire Detection
Authors: Yu Chunyu, Zhang Yongming, Fang Jun, Wang Jinjun
Venue: Proceedings of the 2009 Second International Workshop on Computer Science and Engineering - Volume 02 (2009)

Since the texture is an important feature of smoke, a novel method of texture analysis is proposed for real-time fire smoke detection. The texture analysis is based on gray level co-occurrence matrices (GLCM) and can distinguish smoke features from other none fire disturbances. For the realization of real-time fire detection, block processing technique is adopted and the computation of texture features is done to every block of image. Neural network is used to classify smoke texture features from none-smoke features and the fire alarm trigger is set according to the total smoke blocks in one frame. The accuracy of the method is discussed as a function of frames in the end.
A semantically enriched clinical guideline model enabling deployment in heterogeneous healthcare environments
Authors: Gokce B. Laleci, Asuman Dogac
Venue: IEEE Transactions on Information Technology in Biomedicine (2009)

Clinical guidelines are developed to assist healthcare practitioners to make decisions on patient's medical problems, and as such they communicate with external applications to retrieve patient data to initiate medical actions through clinical workflows, and transmit information to alert/reminder systems. The interoperability problems in the healthcare information technology domain prevent wider deployment of clinical guidelines because each deployment requires a tedious custom adaptation phase. In this paper, we provide machine-processable mechanisms that express the semantics of clinical guideline interfaces so that automated processes can be used to access the clinical resources for guideline deployment and execution. To be able to deploy the semantically extended guidelines to healthcare settings semiautomatically, the underlying application's semantics must also be available. We describe how this can be achieved based on two prominent implementation technologies in use in the eHealth domain: integrating healthcare enterprise cross-enterprise document sharing integration profile for discovering and exchanging electronic healthcare records and Web service technology for interacting with the clinical workflows and wireless medical sensor devices. The system described in this paper is realized within the scope of the SAPHIRE Project.
Image Watermarking with Unequal Error Protection Capability
Authors: Qin Chuan, Mao Qian, Zhang Xinpeng
Venue: Proceedings of the 2009 International Conference on Multimedia Information Networking and Security - Volume 01 (2009)

We propose a novel image watermarking scheme capable of providing unequal protection levels to different regions in the image. In the scheme, we firstly divide the image into high protection region, low protection region and non-protection region, and then use unequal error protection (UEP) code to encode the bits generated by high and low protection regions simultaneously and form the watermark bits to embed in the non-protection region. On the receiver side, the extracted bits with UEP capability can recover the high protection region more correctly than the low protection region. 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
Compact electrothermal macromodeling of photovoltaic modules
Authors: Paolo Maffezzoni, Dario D'Amore
Venue: IEEE Transactions on Circuits and Systems II: Express Briefs (2009)

This brief presents an original compact electrothermal macromodel of a photovoltaic module composed of a large number of series-connected solar cells. The model is able to properly incorporate the effect of a uniform temperature increase over the module as well as the presence of temperature gradients along the cells. It is shown that the proposed macromodel allows one to perform a precise electrothermal analysis of the solar system with a conventional electrical simulator like Spice.
An open source, web based, simple solution for seismic data dissemination and collaborative research
Authors: Paolo Diviacco
Venue: Computers Geosciences (2005)

Collaborative research and data dissemination in the field of geophysical exploration need network tools that can access large amounts of data from anywhere using any PC or workstation. Simple solutions based on a combination of Open Source software can be developed to address such requests, exploiting the possibilities offered by the web technologies, and at the same time avoiding the costs and inflexibility of commercial systems. A viable solution consists of MySQL for data storage and retrieval, CWP/SU and GMT for data visualisation and a scripting layer driven by PHP that allows users to access the system via an Apache web server. In the light of the experience building the on-line archive of seismic data of the Istituto Nazionale di Oceanografia e di Geofisica Sperimentale (OGS), we describe the solutions and the methods adopted, with a view to stimulate both the attitude of network collaborative research of other institutions similar to ours, and the development of different applications.
LITSEEK: public health literature search by metadata enhancement with external knowledge bases
Authors: Priyanka Sharad Prabhu, Shamkant B. Navathe, Stephen Tyler, Venu Dasigi, Neha Narkhede, Balaji Palanisamy
Venue: Proceeding of the third international workshop on Data and text mining in bioinformatics (2009)

Biomedical literature is an important source of information in any researcher's investigation of genes, risk factors, diseases and drugs. Often the information searched by public health researchers is distributed across multiple disparate sources that may include publications from PubMed, genomic, proteomic and pathway databases, gene expression and clinical resources and biomedical ontologies. The unstructured nature of this information makes it difficult to find relevant parts from it manually and comprehensive knowledge is further difficult to synthesize automatically. In this paper we report on LITSEEK (LITerature Search by metadata Enhancement with External Knowledgebases), a system we have developed for the benefit of researchers at the Centers for Disease Control (CDC) to enable them to search the HuGE (Human Genome for Epidemiology) database of PubMed articles, from a pharmacogenomic perspective. Besides analyzing text using TFIDF ranking and indexing of the important terms, the proposed system incorporates an automatic consultation with PharmGKB - a human-curated knowledge base about drugs, related diseases and genes, as well as with the Gene Ontology, a human-curated, well accepted ontology. We highlight the main components of our approach and illustrate how the search is enhanced by incorporating additional concepts in terms of genes/drugs/diseases (called metadata for ease of reference) from PharmGKB. Various measurements are reported with respect to the addition of these metadata terms. Preliminary results in terms of precision based on expert user feedback from CDC are encouraging. Further evaluation of the search procedure by actual researchers is under way.
MyLexics: an assistive courseware for Dyslexic children to learn basic Malay language
Authors: Muhammad Haziq Lim Abdullah, Syariffanor Hisham, Shahril Parumo
Venue: Issue 95 (September 2009) (2009)

Dyslexia is a language-based learning disability resulting in people experiencing difficulties in reading, spelling, writing and speaking due to inability to differentiate sound components. These problems are sometimes accompanied by short-term memory difficulties, a lack of organizational skills and time management issues which all have an impact on learning. Dyslexia can occur regardless of age groups and in some cases; dyslexics may have higher IQ level compare to others.
Image Splicing Detection Using Camera Characteristic Inconsistency
Authors: Zhen Fang, Shuozhong Wang, Xinpeng Zhang
Venue: Proceedings of the 2009 International Conference on Multimedia Information Networking and Security - Volume 01 (2009)

We propose a passive image splicing detection method based on consistency check of camera characteristics among different areas in an image. For a given image, we compute color sharpness from pixels and inter-channel singular value difference. Each color channel is independently down-sampled with a factor of two in the x and y directions. The down-sampled color image is then expanded by zero-padding, and interpolated to produce an estimate of the CFA-filtered version of the image. Difference of singular values between the interpolated image and the given image is computed. Color sharpness and singular value difference are fed into a statistical classifier to accomplish the image authentication. Experiments on a set of 363 natural and spliced images show satisfactory accuracy of the method.
Using normalized alignment scores to detect incorrectly aligned segments
Authors: Andreas Türk
Venue: Proceeding of the 2nd international workshop on Patent information retrieval (2009)

This paper introduces a number of quality metrics which can be used to automatically detect incorrectly aligned segment pairs. This is an important issue in commercial machine translation as segmentation and alignment of bilingual corpora is often performed by third parties whose quality assurances cannot always be relied upon. The metrics in this paper are based on the normalized logarithm of the alignment score of a segment pair, where the alignment score is calculated using an IBM translation model 4. The alignment quality metrics are evaluated in classification experiments on a Chinese-English patent translation task and are shown to yield satisfactory performance.
Bias-specified robust design optimization and its analytical solutions
Authors: Sangmun Shin, Byung Rae Cho
Venue: Computers and Industrial Engineering (2005)

Robust design has received consistent attention from researchers and practitioners for years, and a number of methodologies for robust design optimization have been reported in the research community. However, the majority of these existing methodologies ignore the case where the customer may tolerate and specify an upper bound on process bias. This paper proposes a bias-specified robust design method and formulates a nonlinear program that minimizes process variability subject to customer-specified constraints on the process bias using the @e-constrained method. This paper then derives the Karush-Khun-Tucker conditions and provides a solution procedure based on the Lagrangean method. A numerical example is provided for illustration.
A BIM-Based Design Method for Energy-Efficient Building
Authors: Seunghyun Yoon, Namhee Park, Jinwon Choi
Venue: Proceedings of the 2009 Fifth International Joint Conference on INC, IMS and IDC (2009)

Nowadays, global warming and high oil prices were a threat to the survival of the whole human race. One of a solution to respond to these problems is to reduce energy consumption of building. By adopting energy-saving design, the dissemination of low energy building is required. Therefore, to improve energy efficiency while reducing the usage of the design method is necessary to study actively. BIM-based systems applied to buildings, scheduled to be built by reducing the amount of energy reduction technologies can be analyzed. Depending on various design and equipment to set energy savings goals, you can select an alternative. If it is possible to predict the energy efficiency from the initial stage of design and support designing low energy building, we would be able to expect improvement in the economics of building due to the reduction of energy consumption.
Robust MC-CDMA-based fingerprinting against time-varying collusion attacks
Authors: Byung-Ho Cha, C.-C. Jay Kuo
Venue: IEEE Transactions on Information Forensics and Security (2009)

The design of robust fingerprinting systems for traitor tracing against time-varying collusion attacks in protecting continuous media, such as audio and video, is investigated in this research. We first show that it can be formulated as a multiuser detection problem in a wireless communication system with a time-varying channel response. Being inspired by the multicarrier code-division multiaccess technique, we propose a fingerprinting system that consists of three modules: 1) codeword generation with a multicarrier approach, 2) colluder weight estimation (CWE), and 3) advanced message symbol detection. We construct embedding codes with code spreading followed by multicarrier modulation. For CWE, we show that the weight estimation is analogous to channel response estimation, which can be solved by inserting pilot signals in the embedded fingerprint. As to advanced message symbol detection, we replace the traditional correlation-based detector with the maximal ratio combining detector and the parallel interference cancellation multiuser detector. The superior performance of the proposed fingerprinting system in terms of number of users/identified colluders and the bit-error probability of symbol detection is demonstrated by representative audio and video examples.
A 2D Barcode-Based Mobile Payment System
Authors: Jerry Gao, Vijay Kulkarni, Himanshu Ranavat, Lee Chang, Hsing Mei
Venue: Proceedings of the 2009 Third International Conference on Multimedia and Ubiquitous Engineering (2009)

Mobile payment is very important and critical solution for mobile commerce. A user-friendly mobile payment solution is strongly needed to support mobile users to conduct secure and reliable payment transactions using mobile devices. This paper presents an innovative mobile payment system based on 2-Dimentional (2D) barcodes for mobile users to improve mobile user experience in mobile payment.Unlike other existing mobile payment systems, the proposed payment solution provides distinct advantages to support buy-and-sale products and services based on 2D Barcodes.This system uses one standard 2D Barcode (DataMatrix) as an example to demonstrate how to deal with underlying mobile business workflow, mobile transactions and security issues. The paper discusses system architecture, design and implementation of the proposed mobile payment solution, as well as 2D barcode based security solutions. In addition, this paper also presents some application examples of the system.
Design of Two-Way One-Time-Password Authentication Scheme Based on True Random Numbers
Authors: Fan Yu Tao, Su Gui Ping
Venue: Proceedings of the 2009 Second International Workshop on Computer Science and Engineering - Volume 01 (2009)

Authentication technology based on One-Time-Password (OTP) is being used in more important networks applications because of its higher security. But many current schemes based on OTP still use mathematic methods or from simple random origins to get passwords. These passwords often lack of good randomicity and are not able to ensure the security of the systems. In the paper, a new authentication scheme based on OTP is presented. The scheme generates random numbers quickly by physical methods and applies them in aspects of the whole authentication process. It can guarantee the dynamic and secure property of passwords. Therefore, it can defense many attacks of human sources and is fit for the use of fields which need high security guarantee like finance systems and stock exchange systems.
Characterizing the evolution of collaboration network
Authors: Bin Wu, Fengying Zhao, Shengqi Yang, Lijun Suo, Hongqiao Tian
Venue: Proceeding of the 2nd ACM workshop on Social web search and mining (2009)

It has long been realized that social network of scientific collaborations provides a window on patterns of collaboration within the academic community. Investigations and studies about static and dynamic properties of co-authorship network have also been done in the recent years. However, the accent of most of the research is on the analysis about the macroscopic structure of the whole network or community over time such as distance, diameter shrinking and densication phenomenon and microscopic formation analysis of links,groups or communities over time. But in fact, how an individual or a community grows over time may not only provide a new view point to mine copious and valuable information about scientific networks but also reveal important factors that influence the growth process. In this paper,from a temporal and microscopic analytical perspective, we propose a method to trace scientific individual's and community's growth process based on community's evolution path combination with quantifiable measurements. During the process of tracing, we find out that it is the fact that the lifespan of community is related to the ability of altering its membership, but what's more and complementary, we find out that the lifespan of community is also related to the ability of maintaining its core members meaning that community may last for a longer lifespan if its core members are much more stable. Meanwhile, we also trace the growth process of research individuals based on the evolution of communities.
Extended Crossed Cube: An Improved Fault Tolerant Interconnection Network
Authors: Nibedita Adhikari, C. R. Tripathy
Venue: Proceedings of the 2009 Fifth International Joint Conference on INC, IMS and IDC (2009)

This paper introduces a new fault tolerant interconnection topology called extended crossed cube (ECQ). The proposed topology is hierarchical, expansive and recursive in nature. It has reduced diameter, average distance and constant degree of nodes. The paper illustrates various other properties of the proposed systems, such as fault-tolerance, reliability message traffic density, message routing, broadcasting, cost, cost effectiveness factor and time-cost-effectiveness factor.
Integrating simulation and optimization to schedule a hybrid flow shop with maintenance constraints
Authors: H. Allaoui, A. Artiba
Venue: Computers and Industrial Engineering (2004)

The scheduling problems have been discussed in the literature extensively under the assumption that machines are continuously available. However, in most real life industrial settings a machine can be unavailable for many reasons, such as unforeseen breakdowns (stochastic unavailability) or due to a scheduled preventive maintenance where the periods of unavailability are known in advance (deterministic unavailability). In this paper, we deal with the hybrid flow shop scheduling problem under maintenance constraints to optimize several objectives based on flow time and due date. In this model, we take also on consideration setup, cleaning and transportation times. This paper has three goals. The first is to show how we can integrate simulation and optimization to tackle this practical problem which is NP-hard on the strong sense. The second is to illustrate by an experimentation study that the performance of heuristics applied to this problem can be affected by the percentage of the breakdown times. The last is to show that this approach can perform better than NEH heuristics under certain conditions.