Reviewerly/exHarmony huggingface dataset:
Cooperative Innovation Strategy and Entrepreneurial Interest among the Youth: Evidence from Nigeria

Cooperative society being one of the most potent instruments that can be used to penetrate the poverty fabric of African society cannot be divorced from the quest to achieve sustainable development. More importantly, innovative dimension to cooperative society such as students ‘cooperatives aiming at empowering students for entrepreneurship will, in no small measure, play a major role in curbing a major hindrance to sustainable development-unemployment. Hence, this paper investigates the effect of student cooperative society on the entrepreneurial interest of Nigerian students using Adeyemi University of Education, Ondo State as a case study. The exploratory study adopted a qualitative approach to examine this effect using series of interview and then analyzed using content analysis. We therefore discovered that the student cooperative society has inherent potential to augment the eventual participation of the youth in entrepreneurial activities in Nigeria and then draw implication for Africa at large.
LibGuides: Archives and Special Collections: Digital Collections

Digital collections including the South Carolina Digital Library Collection, University Publications.
Situation-Based Multiparticipant Chat Summarization: a Concept, an Exploration-Annotation Tool and an Example Collection

Currently, text chatting is one of the primary means of communication.However, modern text chat still in general does not offer any navigation or even full-featured search, although the high volumes of messages demand it.In order to mitigate these inconveniences, we formulate the problem of situation-based summarization and propose a special data annotation tool intended for developing training and goldstandard data.A situation is a subset of messages revolving around a single event in both temporal and contextual senses: e.g, a group of friends arranging a meeting in chat, agreeing on date, time, and place.Situations can be extracted via information retrieval, natural language processing, and machine learning techniques.Since the task is novel, neither training nor goldstandard datasets for it have been created yet.In this paper, we present the formulation of the situation-based summarization problem.Next, we describe Chat Corpora Annotator (CCA): the first annotation system designed specifically for exploring and annotating chat log data.We also introduce a custom query language for semi-automatic situation extraction.Finally, we present the first gold-standard dataset for situation-based summarization.The software source code and the dataset are publicly available 1,2 .
Bicycle Mower With Rake / Nor Shuhadah Mohamad Saian

Nowadays, people anticipating for new innovation or invention to help them in theirdaily routine. Our Bicycle Mower with Rake will help the owner saving energy andtime. The main reason that makes this lamp so original is that the combinationbetween mower and rake. Namely, this product help the owner to save time for rakingafter mowing because it can do both mowing and raking in the same time. MSN Trading Sdn. Bhd. provide variety size and colour according to customer demands. The company will introduce this new technology to public, in order to find help the customer save time in landscaping their lawn. The components of the product is adult bicycle, rotary mower, leaf rake and a petrol powered motor. Customers can buy the product through retailer or go to the company official website to purchase it. Other than that, the customer can customized the product by choosing, size and colour of bicycle, size of rotary mower and size and type of leaf rake at the official website. The major purchasers are the schools, universities, municipal council and companies that provide lawn services. Since this product is from local company, the product pricing is much cheaper compared to companies from outside of Malaysia but with the same quality. In addition to that, our company is the first one to commercialized acombination between bicycle, lawn mower and rake. Therefore, our company havemore advantage compared to other local product.
Cooperative co-evolution-based feature selection for big data analytics

The rapid progress of modern technologies generates a massive amount of highthroughput data, called Big Data, which provides opportunities to find new insights using machine learning (ML) algorithms. Big Data consist of many features (attributes). However, irrelevant features may degrade the classification performance of ML algorithms. Feature selection (FS) is a combinatorial optimisation technique used to select a subset of relevant features that represent the dataset. For example, FS is an effective preprocessing step of anomaly detection techniques in Big Cybersecurity Datasets. Evolutionary algorithms (EAs) are widely used search strategies for feature selection. A variant of EAs, called a cooperative co-evolutionary algorithm (CCEA) or simply cooperative co-evolution (CC), which uses a divide-and-conquer approach, is a good choice for large-scale optimisation problems. The goal of this thesis is to investigate and develop three key research issues related to feature selection in Big Data and anomaly detection using feature selection in Big Cybersecurity Data.The first research problem of this thesis is to investigate and develop a feature selection framework using CCEA. The objective of feature selection is twofold: selecting a suitable subset of features or in other words, reducing the number of features to decrease computations and improving classification accuracy, which are contradictory, but can be achieved using a single objective function. Using only classification accuracy as the objective function for FS, EAs, such as CCEA, achieves higher accuracy, even with a higher number of features. Hence, this thesis proposes a penalty-based wrapper single objective function. This function has been used to evaluate the FS process using CCEA, henceforth called Cooperative Co-Evolutionary Algorithm-Based Feature Selection (CCEAFS). Experimental analysis was performed using six widely used classifiers on six different datasets, with and without FS. The experimental results indicate that the proposed objective function is efficient at reducing the number of features in the final feature subset without significantly reducing classification accuracy. Furthermore, the performance results have been compared with four other state-of-the-art techniques.CC decomposes a large and complex problem into several subproblems, optimises each subproblem independently, and collaborates different subproblems only to build a complete solution of the problem. The existing decomposition solutions have poor performance because of some limitations, such as not considering feature interactions, dealing with only an even number of features, and decomposing the dataset statically. However, for real-world problems without any prior information about how the features in a dataset interact, it is difficult to find a suitable problem decomposition technique for feature selection. Hence, the second research problem of this thesis is to investigate and develop a decomposition method that can decompose Big Datasets dynamically, and can ensure the…
Improving the Students’ Ability in Understanding Exposition Text at the Tenth TITL 1 Grade of SMK Negeri 3 Oku

The study aims to improve the students' ability to understand the exposition text in class X TITL 1 SMK Negeri 3 OKU.Observation, tests, documentation were used as data collection techniques.The observation employed to observe the students' activeness in learning and comprehension test on exposition text.The findings revealed that in cycle 1, the students' completeness in understanding exposition text in class X TITL 1 SMK Negeri 3 OKU were 19 people (54.29%).In cycle 2, the students' completeness in understanding the exposition text reading in class X TITL 1 SMK Negeri 3 OKU were 27 people (77.14%).Then in cycle 3 the students' completeness in understanding the exposition text reading in class X TITL 1 SMK Negeri 3 OKU were 33 people (94.29%).
Post-Synthesis Optimization of Reversible Circuits

One of the main motivations for reversible computing is that quantum computing has as one of its foundations the reversibility of all gates, that is, quantum computing circuit models are reversible. An important problem in reversible computing that has been intensively studied for the last decades is the synthesis of reversible circuits. The extended abstract considers optimization rules aiming to a new algorithm for post-synthesis optimization of reversible circuits composed of generalized Toffoli gates.
Improving Multi-View Stereo via Super-Resolution

Today, Multi-View Stereo techniques can reconstruct robust and detailed 3D models, especially when starting from high-resolution images. However, there are cases in which the resolution of input images is relatively low, for instance, when dealing with old photos or when hardware constrains the amount of data acquired. This paper shows how increasing the resolution of such input images through Super-Resolution techniques reflects in quality improvements of the reconstructed 3D models. We show that applying a Super-Resolution step before recovering the depth maps leads to a better 3D model both in the case of patchmatch and deep learning Multi-View Stereo algorithms. In detail, the use of Super-Resolution improves the average f1 score of reconstructed models. It turns out to be particularly effective in the case of scenes rich in texture, such as outdoor landscapes.
Educational Marketing Information Systems At Islamic Educational Institutions

Delays in presenting educational marketing information will cause information not to reach customers quickly and accurately. Marketing educational services is a strategy to improve the quality of education which is the most important element for the quality and progress of the level of education in an educational institution. Marketing is done so that the public knows the advantages and programs owned by the madrasa. Customer satisfaction with educational institutions is identical to customer satisfaction regarding the services provided. this type of research is library research with a qualitative approach. The research process is descriptive analysis, namely by collecting data, compiling, clarifying, and analyzing. Marketing activities can be carried out with various channels or several media, with the hope that there will be three stages of change, namely: changes in knowledge, changes in attitudes, and changes in desired actions. Educational institutions must be able to create community-oriented educational service programs that adapt to the needs of madrasas. Educational institutions must strive to create a positive image in the eyes of the community so that people can make decisions for their sons and daughters to choose the madrasa.
LibGuides: CDS 3666: Researching the CDS Literature: "My Account" in databases

This guide provides an overview of library resources for students in CDS 3666 Honors Seminar.
PROVIDE: A Probabilistic Framework for Unsupervised Video Decomposition

Unsupervised multi-object scene decomposition is a fast-emerging problem in representation learning. Despite significant progress in static scenes, such models are unable to leverage important dynamic cues present in videos. We propose PROVIDE, a novel unsupervised framework for PRObabilistic VIdeo DEcomposition based on a temporal extension of iterative inference. PROVIDE is powerful enough to jointly model complex individual multi-object representations and explicit temporal dependencies between latent variables across frames. This is achieved by leveraging 2D-LSTM, temporally conditioned inference and generation within the iterative amortized inference for posterior refinement. Our method improves the overall quality of decompositions, encodes information about the objects' dynamics, and can be used to predict trajectories of each object separately. Additionally, we show that our model has a high accuracy even without color information. We demonstrate the decomposition capabilities of our model and show that it outperforms the state-of-the-art on several benchmark datasets, one of which was curated for this work and will be made publicly available.
BEMD Based Ultrasound Image Speckle Reduction Technique Using Pixel-Wise Wiener Filtering

In this paper, an improved Bidimensional Empirical Mode Decomposition (BEMD) based speckle reduction technique for ultrasound images has been proposed.The noisy image has been decomposed into its Intrinsic Mode Functions (IMFs) and a residue.The noise component of the low order IMFs is removed with the pixel-wise Wiener filtering.The image is reconstructed with these filtered low order IMFs, high order IMFs and the residue.The performance of the proposed method has been tested on synthetic as well as real ultrasound images having noise components of different variance.The experimental results show that the proposed algorithm performs better than other existing methods for synthetic images as well as real ultrasound images in terms of various image quality matrices.
RANCANG BANGUN APLIKASI PEMANDU WISATA DANAU TOBA BERBASIS WEB MENGGUNAKAN METODE AGILE

ABSTRACTLake Toba is the largest lake in Indonesia and the largest volcanic lake in the world, which is currently one of the tourist destinations in North Sumatra. Lake Toba has many tourist objects that are very beautiful and unspoiled, which will give satisfaction to every visitor. However, due to the lack of application of information technology, it often limits the number of tourists who will visit. This research was made to make it easier for tourists when visiting Lake Toba by creating an application to guide tourists when traveling on Lake Toba. Researchers make a web-based application, using the Agile method as a system development and using mysql as a database in order to further increase tourist satisfaction using the application. The results of this study are the application of a Lake Toba tour guide that will provide convenience and satisfaction in traveling on Lake Toba. This application will provide instructions for every tourist spot on Lake Toba, complete with routes to access these attractions. Application users can also provide ratings of attractions that have been visited, along with comments about experiences or suggestions for attractions. This application will also display the estimated fare to enter tourist destinations and transportation that will be used by tourists. This application will be accessible if connected to the internet network.
TRANSITION OF EDUCATION SYSTEM IN PRE-INDEPENDENT INDIA: A BRIEF-UP

Before 600 BC to1947, Indian education system had witnessed various transitional phases: Vedic, Buddhist, Jain, Islam, Mughal, Missionary and the British, the wave of national movement for education for Indians. Hence, the paper aims to project in synoptic way to concise the entire transition of educational system of India up-to 1947. The paper too focuses the salient features of each phases of education and also highlights how change of education had occurred during the span of time immemorial. The quest of spiritual identity to materialistic identity, to materialistic identity to patriotic identity, to patriotic identity to self-reliant identity all have been transplanted to the Indian people only by the means of education. The paper hence focuses a overall bird’s eye-view of transition of education and also helps to comprehend how the nature of education has been shifted along with the span of time.
Surveillance Violence Detection System

Surveillance security may be a terribly tedious and long job. In this project, we build a system to automatize the task of analyzing video. we will analyze the video which we put in our model and the model determine any abnormal activities like violence. There are tons of analysis happening within the trade concerning video. Recent increased adaptation of security cameras. This paper describes a recognition and identify system for abnormal objects. The goal is to design and implement a system which will be able to detect abnormal activity using video sequences. The system uses high level reasoning to infer the existence of abnormal activity. The proposed approach was implemented using existing images, video clips and trained video. Our experiments demonstrate the effectiveness of the approach.
Employee Competencies as the Predictors of the Performance Management System: An Empirical Study in IT Enabled Service Companies around Hyderabad

The authors report the results of an empirical research study carried out, how the employee competencies will effect Performance Management System in IT Enabled Service companies. A survey of 900 employees working in IT Enabled Service companies around Hyderabad Metro consisting of 550 men and 350 women employees using a structured questionnaire was carried out. The study empirically measured the effect of four independent variables, the employee competencies – personal competencies, knowledge level competencies, job-related competencies and communication and interpersonal competencies on a dependent variable performance management system in IT Enabled Services companies. The reliability of the survey instrument and internal consistencies were measured using reliability statistic Cronbach alpha and the Cronbach alpha values ranged between 0.70 to 0.86 for men and 0.67 to 0.82 for women. The results of the multiple regression analysis reveal statistically significant differences indicating that four independent variables are significant predictors of performance management system. Statistically significant gender differences were observed and men and women employees are significantly influencing performance management system in IT Enabled companies, however there are no statistically significant different among the different age groups of employees.
Data Mining Rekomendasi Pemakaian Skincare

Facial treatments or skincare treatments contained in beauty care are divided into two categories, namely home treatment (such as giving face soap, morning cream, night cream, etc.) and direct care (such as facials, chemical peels, and so on). Home treatment facials consist of a variety of care products. Each home treatment product has a specific function both for treating the face or fixing the skin on consumers' faces such as acne, black spots, blackheads, oily skin, and others. Therefore, in order to determine the right home treatment product for consumers, knowledge of the usefulness of a home treatment product is needed. One of the factors of trade problems that exist in Batam City, there are still many products that enter without knowing whether the product is safe or not to be used, especially for cosmetic or skincare products where many cosmetic products are not licensed by BPOM but can still be traded to the people of Batam City. Finding skincare cosmetics that are good for the community is very difficult, because too many skincare products are sold in the market that do not have a BPOM permit and it will be dangerous for people who use these products. It is also due to the absence of a recommendation from a doctor or a beautician, which causes the wrong or bad skincare selection and will have a bad impact on one's face. The purpose of this study was to make recommendations for the use of skincare products in Batam City. For this reason, through this research, the researcher intends to apply one of the data mining techniques with the naÃ¯ve Bayes algorithm with software implementation using the Tanagra 4.1 software, where the results of this study can be used to see consumer buying patterns that have been neglected to increase product sales, and also see the decisions made to help recommendations for skincare use in Batam City.
Development of a Monitoring and Management System for Nonheritage Tourist Attractions Based on Mobile GIS and Multisensor Technology

With the rapid development of the tourism industry, how to monitor scenic spots and tourists in real time has become an issue. This paper mainly describes the development of a monitoring and management system for scenic spots of intangible cultural heritage based on Mobile GIS and multisensor technology. The monitoring system adopts the idea of structured programming, which reduces the coupling degree of various components and promotes the expansion of system functions. The shortest path module uses the scenic spot management subsystem on the PC. The scenic spot manager enters the distance between adjacent scenic spots that can be directly reached into the system database and then uses the shortest path algorithm, Dijkstra algorithm, to calculate. Asynchronous Socket programming mechanisms are used to implement communication capabilities, the XML markup language is selected as the system’s data exchange protocol, and the DHT11 digital temperature and humidity sensor is used to obtain humidity information around ancient buildings. A Mobile GIS reader of an ancient building in a scenic spot sends a request to connect to a server. The listener is the communication interface between the server software and the reader. It is responsible for parsing the transmitted data and storing it in the database. The CC2430 chip is used to wear on tourists. When tourist nodes and guide nodes enter the scenic spot, they join the network to query the density of the entire scenic spot and upload real-time information. In terminal query, the average response time of real-time location query is 2S. The average initial response time for historical location queries is about 3S. The results show that the visualization services provided by software development can intuitively and accurately display the flow and density of scenic spots, providing a scientific reference for carrying capacity and flow management of scenic spots.
Watermarking Deep Neural Networks for Embedded Systems

Deep neural systems (DNNs) turned into a critical instrument for carrying insight into versatile and inserted gadgets. E logically extensive preparing, sharing and possible improvement of DNN models produce a convincing might want for holding (IP) protection. As of late, DNN watermarking rises as a conceivable IP assurance procedure. Empowering DNN watermarking on installed gadgets in a very in an exceptionally needs a discovery approach, existing DNN watermarking structures either neglect to fulfill the discovery request or are inclined to numerous sorts of assaults. We propose a watermarking system by incorporating the creator's mark inside the strategy for instructing DNNs. While working typically in ordinary cases, the resulting watermarked DNN carries on in a different, when given any marked inputs, so demonstrating the origin. We will discuss in general exhibit A model execution of the system on in style picture grouping datasets and show that robust watermarks will be inserted inside the models.
LibGuides: CRJU U361 - Criminal Justice Research Methods: More about APA 7th Ed.

This LibGuide is a work in progress designed to assist upper level Criminal Justice students with research