First-year experience courses, although common on university campuses, are conducted in a variety of formats. This article outlines strategies and activities used at a large urban commuter campus in a first-year exper...
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First-year experience courses, although common on university campuses, are conducted in a variety of formats. This article outlines strategies and activities used at a large urban commuter campus in a first-year experience sequence run by the Department of Mathematics and Statistics for the College of science. The course, designed for freshmen science and mathematics majors, is conducted across two quarters. The first quarter focuses on the theory and practice of science, whereas the focus for the second quarter is discipline specific--in this case, mathematics. Both courses contain some college-life content, but the true emphasis of this first-year experience sequence is on science and mathematics. Although not a complete course outline, the authors share resources, course-development strategies, and anecdotal evidence of successful course components. [PUBLICATION ABSTRACT]
This paper identifies certain impediments that engineers encounter when creating and deploying humanitarian technologies, which we argue can be addressed by the adoption of shared vocabulary across disciplines, a comm...
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ISBN:
(纸本)9781479924035
This paper identifies certain impediments that engineers encounter when creating and deploying humanitarian technologies, which we argue can be addressed by the adoption of shared vocabulary across disciplines, a commitment to “demand-side” development, and an awareness of myriad social factors that may not be obvious but underlie every development intervention. Understanding the limitations to our ingenuity and good intention is the key to filling the gaps in domain-specific areas. This paper presents examples of avoidable failures as well as actionable strategies for appropriate, sustainable community development from the standpoint of an engineer and social scientist team.
作者：
Obaidah A. RawashdehHiba A. MuharebNedhal A. Al-SayidMSc. Student
Computer Science Dept. Faculty of Information Technology Applied Science University Amman Jordan MSc. Student
Computing Science Dept. Faculty of Information Technology Princess Sumaya University of Technology. Amman Jordan Associate Professor
Computer Science Dept. Faculty of Information Technology Applied Science University Amman Jordan
In this paper, we present an optimistic concurrency control solution. The proposed solution represents an excellent blossom in the concurrency control field. It deals with the concurrency control anomalies, and, simul...
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ISBN:
(纸本)9781467356107
In this paper, we present an optimistic concurrency control solution. The proposed solution represents an excellent blossom in the concurrency control field. It deals with the concurrency control anomalies, and, simultaneously, assures the reliability of the data before read-write transactions and after successfully committed. It can be used within the distributed database to track data logs and roll back processes to overcome distributed database anomalies. The method is based on commit timestamps for validation and an integer flag that is incremented each time a successful update on the record is committed. We show that this method overcomes inefficient taken methods (i.e. unnecessary restarts) in order to improve the performance and to increase productivity. Moreover, the method includes information about the time-stamping of transactions and flagging successfully updated data in the main-memory as it is proposed. Finally, the implemented work finds a need for an adaptive and an integrated concurrency control method in distributed database systems. Thus, a new optimistic concurrency control method is presented in this paper where it is expected to produce correct and reliable results.
On the base of the method of Support vec- tor data description (SVDD), this paper proposes a SVDD method based on maximum distance between two centers of spheres. It applies two hyperspheres to separate two kinds of t...
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On the base of the method of Support vec- tor data description (SVDD), this paper proposes a SVDD method based on maximum distance between two centers of spheres. It applies two hyperspheres to separate two kinds of training instance and maximize distance between two centers of hyperspheres at the same time. Experimen- tal results show that the method is effective, especially for unbalance problem, our method can get better results than all other methods.
In this paper, a ITO algorithm inspired by ITO stochastic process is proposed for Traveling Salesmen Problems (TSP), so far, many meta-heuristic methods have been successfully applied to TSP, however, as a member of t...
In this paper, a ITO algorithm inspired by ITO stochastic process is proposed for Traveling Salesmen Problems (TSP), so far, many meta-heuristic methods have been successfully applied to TSP, however, as a member of them, ITO needs further demonstration for TSP. So starting from designing the key operators, which include the move operator, wave operator, etc, the method based on ITO for TSP is presented, and moreover, the ITO algorithm performance under different parameter sets and the maintenance of population diversity information are also studied.
作者：
N. YuvarajP. VivekanandanLecturer
Computer Science and Enginnering Park College of Engineering and Technology Coimbatore Professor
Computer Science and Enginnering Park College of Engineering and Technology Coimbatore
A reliable and accurate identification of the type of tumors is crucial to the proper treatment of cancers. The classification of tumors was and is both a practical and theoretic necessity and requirement. DNA microar...
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ISBN:
(纸本)9781467357869
A reliable and accurate identification of the type of tumors is crucial to the proper treatment of cancers. The classification of tumors was and is both a practical and theoretic necessity and requirement. DNA microarrays provide a new technique of measuring gene expression, which has attracted a lot of research interest in recent years. It was suggested that gene expression data from microarrays (biochips) can be employed in many biomedical areas, e.g., in cancer classification. Although several, new and existing, methods of classification were tested, a selection of proper (optimal) set of genes, the expressions of which can serve during classification, is still an open problem. This paper presents a new method for tumor classification using gene expression data. In the proposed method, we first select genes using Nonnegative Matrix Factorization (NMF). In order to improve the performance of classification, Symmetry NMF (SymNMF) is used in this approach. Then, features are extracted from the selected genes by virtue SymNMF. As a last step, an efficient machine learning approach is used to classify the tumor samples using the extracted features. In order for a better classification, Support Vector Machine with Weighted Kernel Width (WSVM) is used in this classification approach. The performance of the proposed approach is tested using colon cancer data set and the acute leukemia data set. It is observed from the experimental results that the proposed approach provides better performance when compared with the traditional approaches.
作者：
S SasikumarM DharmendirakumarAssociate Professor
Department of Computer Science and Engineering Saveetha Engineering College Chennai Tamilnadu-602105 India Senior lecturer
Department of Applied Science and Technology A. C. Tech Anna University Chennai Tamilnadu-600025 India
Oral tablets have remained the most common dosage form by which drugs are usually administered to patients because of their advantages over the other dosage forms. The rate of release of drug from the tablet to know t...
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ISBN:
(纸本)9781467362429
Oral tablets have remained the most common dosage form by which drugs are usually administered to patients because of their advantages over the other dosage forms. The rate of release of drug from the tablet to know the drug availability is based on the process of disintegration and dissolution. In order to formulate orally fast disintegrating tablet (FDT), the usage of appropriate binder is also important which can drastically increase the rate of dissolution of oral dosage. In this study, Binders from different origins were used via wet granulation at concentrations ranging from 1.0 -5.0% w/w to make paracetamol tablets, The mechanical and release properties of paracetamol tablets formulated with Cashew gum (CAG), Povidone (PVP), Gelatin (GEL), Okra gum (OKG) and Hydroxypropylmethyl cellulose (HMPC) as binders were studied and compared. The CANAL technique of data mining is proposed to show that the BFI values of tablets formulated with OKG were the lowest at all binder concentrations and which can increase the rate of dissolution with moderate the disintegration time. For the CANAL technique, sample calculated data of the measured tensile strength (TS), brittle fracture index (BFI), friability (F), disintegration time (DT) and percentage of drug released (PDR) of different binder agent formulation were used. The drug release of the Paracetamol tablet from a particular formulation is taken on 15th min and compared with the other formulation. Finally the significant method of formulation with appropriate binder with the average concentration is identified and thus the fast dissolution rate of soluble drug was attained using CANAL technique of data mining. Microsoft Business Intelligence Analysis Service 2008 software is used to ensure the CANAL technique. Sample statistical data were passed as input to this analysis services tool to find a feasible formulation method using CANAL technique of data mining. The result shows that the tablets containing OKG as binder in
Digital watermarking is one of the effective technology which can protect the copyright of digital product and data security. For the encoding technology of color image, this paper proposed a method for embedding the ...
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Without appropriate stitching of scan chains, even with good diagnosis algorithm and diagnostic pattern generation, it may still result in bad scan chain diagnostic resolution. To improve the diagnostic resolution, we...
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ISBN:
(纸本)9781479908608
Without appropriate stitching of scan chains, even with good diagnosis algorithm and diagnostic pattern generation, it may still result in bad scan chain diagnostic resolution. To improve the diagnostic resolution, we propose a novel Diagnosis and Layout Aware (DLA) scan chain stitching method, which is pattern independent and supports embedded scan compaction. It is based on three ideas: (1) increasing the number of sensitive scan cells, which can capture useful diagnostic information; (2) properly distributing the sensitive scan cells along the scan chains to enhance the overall resolution; (3) stitching scan cells based on their placement at layout to preserve the chip performance. Experiments on ISCAS'89/ITC'99 benchmark circuits and a real industry circuit based on 20nm technology with silicon results show that, the proposed DLA scan chain stitching method effectively improves the resolution, with negligible impact on chip performance, embedded scan compaction, transition fault coverage, and test power dissipation. The silicon results even show 7X average resolution improvement comparing to without using the proposed method.
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