Reviewerly/exHarmony huggingface dataset:
AN EFFICIENT ALGORITHM FOR HAND WRITTEN SIGNATURE RECOGNITION USING TRANSFORM BASEDAPPROACH WITH IMAGE STATISTICS

In present scenario world forgery of signature is very much increased. Novel techniques are there to identify acorrect signature. Hand written or bio metric signatures are widely used for authentication and identification of a personbecause every person has a own style of signature with its specific structures, so it is needy and necessary to recognize theauthenticity of person hand written signature. There are limitations and complexities in recognizing a hand written signatureimage due to lack of abundant technical literature and sophisticated optimal methodologies. , we introduced an efficientapproach for hand written signature recognition and retrieval using transformation-based approach Non-subsampledcontourlet transform used for texture classification and the transform consists of Non-subsampled pyramid filter bank andNonsubsampled directional filter bank Also gray level matrix is used to extract the texture features. In addition, imagestatistics is computed to enhance the recognition performance further. Finally, computed hamming distance. It measures thesimilarity between trained and test images, it is an effective distance metric over conventional Euclidean distance.
EVALUASI PENERAPAN PERPUSTAKAAN DIGITAL PADA PERGURUAN TINGGI MENGGUNAKAN PENDEKATAN ITPOSMO

Many aspects need to be considered in evaluating digital libraries. The rapid development of information and communications technology will change the model and pattern of libraries . Referring to this, encourage the libraries  to look for alternative library system to change the culture of conventional library into a digital library. The most important thing in the implementation of this system is to be successful or successful in its implementation. One indicator of success is if the effective e-Library. Therefore, it is necessary to study what gaps that exist in the application of digital libraries. According to Richard Heeks there are seven dimensions that need to be analyzed: (1) Information gap (2) Technology gap (3) Process gap (4) Object and Value gap (5) Staff and Skill gap (6) Management and Structure gap (7) Others Resourcess gap or abbreviated ITPOSMO. The samples in this research using questionnaires filled out by 270 respondents consisting of two universities, namely University of Jakarta as much as 145 respondents and the School of Information Management (STMIK MIC) of 125 respondents. Data processing method using the average by using the software SPSS 17. The results showed that there are gaps in the application of digital libraries in both college although not too wide gap that exists. However, based on seven dimensions IPOSMO the application of digital libraries in colleges partial failure.
LibGuides: Incorporating Sources Ethically: Test Your Knowledge!

How to ethically incorporate sources into your writing by paraphrasing, summarizing, and quoting.
Privacy Sensitive Large-Margin Model for Face De-Identification

There is an increasing concern of face privacy protection along with the wide application of big media data and social networks due to free online data release. Although some pioneering works obtained some achievements, they are not sufficient enough for sanitizing the sensitive identity information. In this paper, we propose a generative approach to de-identify face images yet preserving the non-sensitive information for data reusability. To ensure a high privacy level, we introduce a large-margin model for the synthesized new identities by keeping a safe distance with both the input identity and existing identities. Besides, we show that our face de-identification operation follows the $$\epsilon $$ -differential privacy rule which can provide a rigorous privacy notion in theory. We evaluate the proposed approach using the vggface dataset and compare with several state-of-the-art methods. The results show that our approach outperforms previous solutions for effective face privacy protection while preserving the major utilities.
Food order system for Nasi Kukus MyMama by using mobile application

Food delivery is a courier service in which a restaurant, store, or independent food delivery company delivers food to a customer. An order is typically made either through a restaurant or grocer's website or phone, or through a food ordering company. This document will explain in detail about the development of Food Order System for Nasi Kukus MyMama. This project was developed for android-based devices that support android application package file format. The development of this project is carried out by using java programming. This project target customers that live near Nasi Kukus MyMama Restaurants located in Kuantan and Gambang area. This project was developed under Rapid Application Development (RAD) methodology. RAD focuses on collecting customer requirements, early testing of the prototypes by the customer using iterative concept, reuse of the existing prototypes (components), continuous integration and rapid delivery.
LibGuides: CSUMB Makerspace: Maker Kits!

The Library Makerspace is a collaborative work environment on the third floor of the Tanimura & Antle Library, Room 3125. During Covid-19 conditions, the Makerspace is closed to visitors.
Multi-level-based nonadiabatic holonomic quantum computation

Multi-level systems have been considered as a platform that can bring substantial benefits to quantum computation. Nonadiabatic holonomic quantum computation (NHQC) is a method to implement error r ...
The Observation Systems of Emplacement Reconnaissance and Verifying Radar based on Improved Chaos Genetic Algorithms

The problem of managing sensors as one of optimal control of the resulting state estimator covariance matrix. Originally posed in the early days of optimal control, this problem has received little attention, despite the proliferation of active sensing systems and sensor networks and the resulting need to target observations to obtain useful state estimates while minimizing energy expenditure. The problem where the parameters of an observation system, to be selected from given set, are controlled in-the-loop. The necessary condition for optimality and a numerical scheme for finding these solutions. Finally, using a convenient parameterization of the ambiguity function for a certain class of pulsed emplacement reconnaissance and verifying radar systems, we apply this theory to optimal tracking of a target with known dynamics.
Exploration on Reform of Modern Control Theory under the Background of First-class Undergraduate Major Construction

On the basis of the existing curriculum construction achievements and in cooperation with the school's key curriculum construction, the reform of curriculum system, teaching contents and teaching methods should be further deepened, the advantages of similar curriculum teaching at home and abroad should be absorbed, and the shortcomings should be improved, so that the course "modern control theory" can be built into a first-class undergraduate course to meet the requirements of the new era.
A Comprehensive Analysis of Proprietary and Open Source Data Mining Tools

The Powerful software tools and techniques required for the development of data mining applications. With the rapid development of technologies and business interest in using electronics and latest technologies plays important role in improvement of data mining field. Data mining access the meaningful and efficient information available in worldwide which is helps in decision making. This paper described the (a) various tools and techniques used by data mining applications. (b) compared features and limitations both in Proprietary and open sources data mining tools. (c) technical analysis of proprietary and open source data mining tools. On the basis of well-designed User interface, short time analysis, statistical and mathematical analysis user can select the best tool as per their requirements. Analysis of these tools makes easy to select appropriate tool.
Blume Library: The SIFT Method: Learn More

simple moves to evaluate web information more information about SIFT sources, bias vs. agenda, and using Wikipedia
openAnalogInput(BODY): investigating data mobilities through critical making

This chapter examines the potentials and affordances of critical making (CM) as a method for research in mobilities studies. Critical making draws from critical theory, design and technology studies and advocates for experimental technology appropriation as a mode of critical composition. I created an interactive installation titled ‘Truth or dare: a mobile moral compass for ethical living’ (ToD) that problematizes the adoption of quantified data as a parameter for truthfulness. This study shows how CM can be applied to investigate protocols of data mobilities, and argues for understanding data analytics as performative and embedded in rhetorical materiality of modular numeric discretion.
Image Segmentation of CV Model Combined with Sobel Operator

Aiming at the problem that CV model cannot segment the image with uneven grayscale well, a method combining differential information with CV model is proposed. Sobel operator is used to detect the edge information of the target. It adds differential information to grayscale values. Sobel operator is combined with CV model. The energy functional is constructed and grayscale mean of that is replaced by the grayscale mean with differential properties. The curve is approached to the target contour until the energy functional converges to the minimum value. Finally, the complete target is segmented. The experimental results show that the improved method can improve the segmentation effect of images with uneven grayscale.
LibGuides: Getting Started at University: Screencasts

If you're new to university or returning to study after a break, this guide includes our top tips and guidance on finding your feet and information on how to develop your core academic skills.
Elastic Network Algorithm for Clustering Based on Cluster Center Shift

The clustering problem is a hot issue in recent years. Mean-Shift is an effective method for the clustering problem without the prior knowledge of the number of clusters. In this paper, Mean-Shift and Elastic Network Algorithm (ENA) are combined. Further, an Elastic Network Algorithm for Clustering based on cluster center shift (ENACS) for cluster analysis is proposed, which can be used for the optimization of cluster stability and cluster effectiveness. In the experiments, we show the effectiveness of ENACS. In comparison with traditional algorithms, the ENACS, which didn't need to give the number of clusters, could consistently and effectively converge to the approximate optimal value corresponding to the given data. Experiments used several of the standard datasets from UCI machine learning repository.
A Comparative study of web enabled information services through web sites in central university libraries of Delhi and NCR

The paper surveys the central university libraries of Delhi and NCR to find out web enabled information services facilitated through their websites and rank them also. National Institute ranking Framework (NIRF ranking 2017) was used to select the central university libraries of Delhi and NCR. There are only three central university libraries of Delhi & NCR in the top hundred universities in NIRF 2017. The content analysis of the websites of the selected university libraries and the review of the literature was used to examine the various information services provided by them and select some common services for the study. A checklist of components to be studied for selected web enabled information services was prepared through review of literature. The study included eight information services from the patrons’ point of view (i.e beneficial for the patrons). The findings revealed that many web enabled information services are being facilitated through their interactive websites. Jawaharlal Nehru university library is on the first rank in the provision of web enabled information services under study. It is followed by Jamia Millia Islamia university library. University of Delhi Library is last in rank and providing less than the mean percentage of web enabled information services under study. The paper offers a comparative synopsis of the provision of web enabled information services in the central university libraries of Delhi and NCR. How much these services are effective and the extent of welcome by the patrons needs to be studied.
Guides: Tutorials: How to Find E-Books

This guide provides tutorials on how to navigate our Pepperdine Libraries website as well as how to use some of Pepperdine Libraries' valuable online resources.
Protocol for Evaluating Reinforcement Learning Environments in Real Time

This document defines a simple UDP protocol for communicating a serversimulating a reinforcement learning environment and a client observingit and responding with actions. Reinforcement learning problems areusually defined within the scope of a Markov Decission Process (MDP)where an agent sends an action belonging to an action space to anenvironment. The environment acts as a black box returning anobservation and a reward for the agent, whose goal is to maximize thetotal obtained rewards. Although the problem statement is easy tounderstand, there are no conventions on how to communicate areinforcement learning simulation with a client agent, either in alocal network or over the Internet. Additionally, giving an answer tothis can be especially useful when it comes to multiagent support andanalysis. The protocol PERLERT defined in this document assumes thatserver and client have shared certain information beforehand viaanother way of communication like a web page served using HTTPprotocol. For example, the client must know a port number and aninstance number before proceeding to participate in a simulation runon a server. Also, although it is often desired to know the fullfeedback from the environment, PERLERT focuses on real-timeinteraction where human agents can interact with AI agents even ifthat means that information can be lost due to network packet loss.
Language Learning Strategies among Students of Undergraduate Malay Studies at Prince of Songkhla University, Pattani, Thailand

This study was conducted to obtain information on the use of language learning strategies among undergraduate students of Malay Language Studies at Prince of Songkhla University (PSU), Pattani, Thailand. Specifically, this study is to identify the level of mastery of language learning strategies. This is a quantitative descriptive study through survey method. A total of 100 students were selected as respondents. In this study, information of the students involved will be collected through the use of questionnaires instrument. The collected data were analyzed using Statistical Package for Social Sciences (SPSS) version 23.0 for descriptive. The results showed that students are influenced by language learning strategies, but the findings showed that the listening and speaking strategy have more influence followed by the reading and writing strategy. In conclusion, although the language learning strategy does not affect the achievement in Malay language, the use of accurate and appropriate strategy will be able to help students increase proficiency and achievement in Malay language and become outstanding students.
APLIKASI TRACKING STEEL BOX MENGGUNAKAN VIRTUAL PRIVATE NETWORK (VPN) DENGAN TEKNIK ROAD WARIOR

ABSTRACT The development of information technology and communication is growing rapidly, where information is one of the important aspects in life. The internet as one of the technological innovations in computer networks that makes data exchange now easier and faster. PT. Adovelin Raharja is shipping goods for several oil and gas industries operating in Indonesia. Where every day there is communication or exchange of data between the head office and branch offices and some customers. In the exchange of data needed a reliable security system and fast delivery process. For this reason, the writer makes a thesis on VPN (Virtual Private Network) with the road warrior technique using PPTP VPN server at PT. Adovelin Raharja, who has not yet implemented the system. The method of making this thesis is observation and interviews to find out problems or deficiencies in existing computer networks. One of them has not yet implemented a security system in exchanging data between head office and branches. Therefore it is necessary to implement a network system with VPN for data exchange security and remote access to facilitate employees or managers who are outside the office in sending data quickly and safely. This VPN is a local communication network that hitches a ride in a public network. With VPN, transaction data from branches or mobile users to the center will be encrypted to ensure data security. Keywords: VPN PPTP, Jaringan Komputer, Remote Access.
Pedagogy for Practical Library Instruction – An Online Program

This presentation highlights an online program developed to introduce academic librarians to pedagogy and describes the overall outline of the program, the structure of the modules, and the implementation plan for this program. It was presented at the 2020 Cross Timbers Library Collaborative Conference held virtually on August 7, 2020.
POLICY BASED SCHEDULING FOR DYNAMIC RESOURCE ALLOCATION IN CLOUD COMPUTING USING OPENSOURCE TECHNOLOGY

The Cloud computing is the providing shared resource at run time as computing model and pay as per use the resources. The number of resource is utilized by different users and assigned task submitted by users in cloud environment. When the implemented task is assigned, optimization of task depends on response time, execution time and utilization of resource in cloud. There are some factors that serve the response the request and maximum load is manage its known as load balancing. The main focus is dynamic resource allocation, load balancing and service level agreement for the resource in cloud environment. The proposed algorithm is improved the efficiency of allocation of resource in cloud computing.
Clark Family Library: PrezTech Challenge: Photos

The Committee on Libraries and Educational Technology (COLET) is pleased to announce PrezTech Challenge. PrezTech Challenge encourages W&J faculty to enhance student learning by using library and educational technology.
MULTI-LEVEL INDEXING TO INDEX DIGITALDOCUMENTS

As the amount of digital document on the web has increased rapidly, the need for efficiently searching and retrievingthese documents becomes crucial. The index structure has been considered as the challenging in order to provide fastand relevant information retrieval as per user query. An index is a data structure which is used to promptly find andaccess the information in a large corpus of database. The various indexing techniques have been proposed based uponmany features like keyword occurrence based, keyphrase based, citation based, full-text based, semantic analysis etc.But, there are few shortcomings which need to be addressed. Thus, in this paper, a multi level index structure isproposed which provides sequential as well as direct access to the information in order to provide the fast and relevantretrieval of documents. Proposed index structure is implemented and also analyzed with other existing digital libraryindexing schemes.
LibGuides: eBooks and Overdrive: Home

If you are logging in from home you will be required to provide our username and password. Please contact your librarian.
Multiple Model Guided Image Filter for Target Detection and Recognition According to Noise Type

In this paper, a MMGIF (Multiple Model Guided Image Filter) is proposed to eliminate the additive noise in a measured image and to eventually detect and recognize targets in the vision-used system reliably. We only consider Gaussian noise and saltand-pepper noise (impulse noise), which are practical and representative noise types in images. Therefore, the proposed MMGIF consists of two different GIFs (Guided Image Filters) and applies the appropriate GIF according to the noise type. One GIF model is a standard GIF for removing white Gaussian noise, and the other model is a Laplacian GIF for salt-and-pepper noise, which generally occurs in CCD camera images. Furthermore, in order to select the proper model, an image noise identification method is also proposed in this paper. The proposed algorithm estimates the image noise type based on a logistic regression algorithm by using kurtosis, skewness, and normality obtained from the estimated noise distribution. The performance of the proposed algorithm is evaluated in terms of peak signal-to-noise ratio and image enhancement factor through several simulations.
A NEW APPROACH TO GENERATE CLUSTERS USING SPARSITY-DENSITY ENTROPY

Gathering of data with high estimation and variable densities speaks to a charming test to the customary thickness based clustering methods. Starting late, entropy, a numerical extent of the weakness of data , are regularly wont to measure the periphery level of tests in data space and moreover select immense features in incorporate set. it had been utilized in our new framework maintained the sparsity-thickness entropy (SDE) to pack the data with high estimation and variable densities. In the first place, SDE coordinates first class reviewing for multidimensional data and picks the specialist features using sparsity score entropy (SSE). Second, the gathering results and rackets are gotten grasping a replacement thickness variable batching procedure called thickness entropy (DE). DE normally chooses the periphery set maintained the general least of edge degrees by then adaptively performs pack assessment for each close by bunch reinforced the local least of periphery degrees. The reasonability and capability of the proposed SDE structure are affirmed on produced and veritable enlightening lists as differentiated and a couple of collection computations. The results exhibited that the proposed SDE framework all the while recognized the fusses and arranged the data with high estimation and various densities.
The Astrophysics source code library: What's new, what's coming

The Astrophysics Source Code Library (ASCL, this http URL), established in 1999, is a citable online registry of source codes used in research that are available for download; the ASCL's main purpose is to improve the transparency, reproducibility, and falsifiability of research. In 2017, improvements to the resource included real-time data backup for submissions and newly-published entries, improved cross-matching of research papers with software entries in ADS, and expansion of preferred citation information for the software in the ASCL.
Студенческий фестиваль социальной рекламы как ресурс медиаобразования российской молодежи

The research is devoted to the analysis of the current state, trends and prospects for the development of student contests for social advertising and their resource potential in the development of media education for Russian youth. The specificity of social advertising in modern Russia and abroad is considered; determined approaches to the study of the audience of social advertising contests; features of the development of the concept and strategy of student contests of social advertising are identified; the technologies for their implementation and promotion are determined; criteria for effectiveness are identified. It is established that the implementation of projects dedicated to the development and creation of social advertising aimed at attracting the attention of creative young people to the most acute, topical social problems is an effective resource for increasing the media literacy of young people by providing them with a creative methodological platform for developing and implementing media projects and finding new non-standard solutions in the field of mass communications.