Reviewerly/exHarmony huggingface dataset:
Bottom-up visual attention model for still image: a preliminary study

The philosophy of human visual attention is scientifically explained in the field of cognitive psychology and neuroscience then computationally modeled in the field of computer science and engineering. Visual attention models have been applied in computer vision systems such as object detection, object recognition, image segmentation, image and video compression, action recognition, visual tracking, and so on. This work studies bottom-up visual attention, namely human fixation prediction and salient object detection models. The preliminary study briefly covers from the biological perspective of visual attention, including visual pathway, the theory of visual attention, to the computational model of bottom-up visual attention that generates saliency map. The study compares some models at each stage and observes whether the stage is inspired by biological architecture, concept, or behavior of human visual attention. From the study, the use of low-level features, center-surround mechanism, sparse representation, and higher-level guidance with intrinsic cues dominate the bottom-up visual attention approaches. The study also highlights the correlation between bottom-up visual attention and curiosity.
LibGuides: Continuity of Library Research & Services: Library Research Resources

This guide will help you locate and access library research and instructional support resources that are available in the event that the University is experiencing cancellation of in-person courses or a campus closure.
Digital Accounting in Today’s Scenario

In the modern world Digital Accounting is new development part of Accounting. An accounting system is the combination of personnel, records and procedures that the person uses to meet its need for financial data. It means all the transactions will record in digital programmes for examples online server or data base, just like website / Blog / web blog. There is large numbers of organization who starts started Digital Accounting. Source documents and accounting records exist in digital form instead of on paper in electronic accounting system. So there is no need to record manually. It also helps business to keep their financial data and accounting software in a safe and secure environment, allowing real time access to authorized users, irrespective of their location or computing platform.  Digital or online accounting has easy usage and maintaining for anywhere with the help of network connection. Designing, Developing and maintaining to system costs money thereby reducing the organization profitability. Digital accounting system can be helpful in the effective process of accounting fast record with advance technology.
LibGuides: Narrowing or Broadening Your Search : Home

This guide teaches you ways to narrow or broaden your search by using keywords, limiters, and boolean operators.
A corpus-based approach to reevaluation of Croatian verb classification

Croatian grammar textbooks have a long tradition of classifying verbs based on their morphosyntactic characteristics.Conclusions, such as the frequency or productiveness of a class, were drawn without having the insight into a big corpus.Corpora used in such descriptions were not described and were presumably made of literary works which is, in our opinion, describing a form of the Croatian language distant from its everyday use.The corpus used for analyzing verbs in this paper is hrWaC which contains 1.9 billion tokens and about 90,000 verbs.This corpus was selected with the intention of describing and analyzing a less formal and less standardized language This paper offers a corpus-based approach to the problem of verb classification and emphasizes the importance of NLP methods in the process of classification as they fasten and simplify it.The paper gives a brief introduction to verbs, their morphological characteristics and their classification.By extracting verbs from the Croatian web corpus hrWaC and processing them computationally, the paper gives an insight into the verb distribution in the Croatian language and points out some difficulties that were encountered during this study.Even though this paper aimed to reevaluate the existing data data, the present findings mostly confirm the claims of previous researches.A number of recommendations for future research are given, foremost, the need of the extension of the language material.
Penerapan User Centered Design (UCD) Untuk Sistem Informasi Perijinan Pada PT. Alfa Goldland Realty Tangerang Selatan

The basic necessities of human life besides clothing and food are boards or what is commonly known as a house. House made human as a shelter for the survival of life. Therefore, no doubt everyone wants a comfortable and safe house. If there is damage to the house, renovations or repairs must be done so that its function is still good and can continue to support a good life. PT. Alfa Goldland Realty is an estate management office that does business in the area of ​​integrated residential area providers. One of the activities carried out is to serve the application for building renovation permits. In its implementation before the house renovation is carried out, consumers must submit a renovation permit to the office of the manager. Licensing is one of the important aspects in public services and the regulation and control of the process that will be carried out. Constraints experienced by PT. Alfa Goldland Realty in the licensing service for submitting renovations is a lengthy, time-consuming procedure for one customer, giving rise to an image of inadequate service. Currently the staff handling the licensing process is still limited and inadequate with the many requests for renovation from consumers. Using the paper as a media in the renovation permit process makes the process less effective and efficient. The low quality of service that currently drives PT. Alfa Goldland Realty must immediately improve the quality of its services. The solution needed to PT. Alfa Goldland Realty is the implementation of information systems with the User Centered Design (UCD) method. This method is used for the design of information systems that are seen from the user or user side, so that user needs will be the basis of how the system is designed. The results of this study are web-based information systems that can be accessed by consumers and management offices for the licensing process so that the activities run more effectively and efficiently.
Processing emotional ambiguity: When the prefrontal cortex jumps at a subtle smile

Introduction Reading other peopleʼs emotional facial expressions is a crucial aspect of social communication. What most people take for granted, is an insurmountable obstacle for patients suffering from an Autism-Spectrum-Disorder (ASD) or people affected with a condition called emotional blindness (Alexithymia). In the present study, we aimed to gain a deeper understanding of the underlying brain areas involved in such a complex task as the successful categorization of emotions. While most research on emotion categorization has been conducted with stereotypic emotions, real-life situations are more complex involving highly ambiguous emotional expressions. Hence, we set out to delineate the involvement of the prefrontal cortex (PFC) when subjects are confronted with pictures of ambiguous emotional faces.
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Leveraging graph-based semantic annotation for the identification of cause-effect relations

This research is related to language article in Indonesia that discuss about causality relationship research used as public health surveillance information monitoring system. Utilization of this research is suitability of feature selection, phrase annotation, paragraph annotation, medical element annotation and graph-based semantic annotation. Evaluation of system performance is done by intrinsic approach using the Naive Bayes Multinomial method. The results obtained sequentially for recall, precision and f-measure are 0.924, 0.905, and 0.910.
Seamless Capturing of Moments Using Photographic Compositions and Image Aesthetics

This paper proposes an automatic photograph system, which aims to take good photos. We suppose that the good photos are aesthetically pleasing and visually balanced. In fact, the term, visually balanced, have been defined to photographic composition rules. In order to achieve this, photographic composition classification, image aesthetic enhancement, and aesthetic assessment using deep learning models are introduced in this paper. The proposed method classifies nine photographic compositions for captured images, and enhances aesthetic quality of the images classified to one of nine compositions. Then, aesthetic scores are measured for the enhanced images to determine that the image is able to be a good photo. The proposed method can be widely applied to all smart devices possessing cameras, and thus is able to automatically collect memorable moments of daily life.
BANK TRANSACTION USING FACIAL IDENTIFICATION

Now a days, Face recognition has a wide range of possible applications from person identification and surveillance to electronics marketing and advertising for selected customers . Haar Cascade based algorithm has been applied for fast and simple face detection from the input image. The face image is then being converted into grayscale image. After that, the iris candidates are extracted from the intensity valleys from the detected face. Costs of each iris candidates are calculated. Finally the iris candidates are paired up and the cost of each possible pairing is computed by a combination of mathematical models .Face recognition is considered as one of the most reliable solution .The result show that the proposed algorithm has able to train more amount of data and high accuracy.
A Study on the Role of Sports APP in Building a Healthy Lifestyle of College Students

Based on the investigation and analysis of college students’ extracurricular activities, most college students use sports APP to help them achieve the goal of fitness. According to the functions and characteristics of sports APP, it is shown that sports APP play an important role in building a healthy lifestyle for college students.
LibGuides: University Library Updates: Reserve Textbook Access with RedShelf

This guide will help you to use the library resources and services during temporarily limited operations. Please feel free to contact a librarian with any questions.
Heuristic scheduling algorithm for hybrid storage data in the cloud computing environment

In the optimisation design of hybrid cloud storage data in the cloud computing environment, it is required to perform heuristic scheduling to data and to improve the ability to send and receive cloud storage data, so a heuristic scheduling algorithm for hybrid storage data in the cloud computing environment based on correlation spectral density feature extraction is proposed. In this algorithm, a distributed structure data model of hybrid storage data in the cloud computing environment is built and adaptive link forwarding control is designed for big data in cloud storage space. Simulation results show that in heuristic scheduling of hybrid storage data in the cloud computing environment, this method can improve the data storage throughput performance and provide good balance of data storage and high fidelity.
Features of the updated curricula and improvement of the educational process

The article discusses the features of the updated education system of the Republic of Kazakhstan.The authors drew attention to the fact that the updated educational program introduced in the sphere of education of the Republic of Kazakhstan is a new program that meets the needs of future generations, meets modern requirements.The article deals with the issue of the teacher's development of innovative technologies in modern conditions of education and the objective necessity of their application in teaching children in their lessons.The relevance of innovative learning according to the authors ' research is the use of personalityoriented learning, as well as the creation of conditions for the disclosure of the creative potential of students.The main goal of education in the modern world -prepare professional, competitive, competent, knows his job in the labour market-oriented direction, able to work effectively at the level of world standards, to grow professionally, to respond effectively to the socio-political processes, adapt quickly to change, able to solve industrial-innovative situation, to Express themselves in accordance with their needs and the needs of society, to freely Express their thoughts, to have a high knowledge of the national language, history, to form domestic and world culture.The article describes that the evaluation system undergoes radical changes and moves to the system of criterion evaluation.
Research on Routing Algorithm of UAV AD Hoc Network Based on Decision Tree

The efficient routing algorithm is the basis for ensuring the performance of the UAV AD hoc. Most of the current routing algorithms only consider a certain feature of the node, and often have network instability and large packet loss rate. Aiming at this problem, this paper proposes a routing algorithm based on decision tree, collects and analyzes various attribute characteristics of nodes, forms a decision-making scheme, and selects the transmission path with the highest comprehensive evaluation. Experiments show that the algorithm improves the delivery success rate of the packet
The Effect of Using Picture Describing and Storytelling on Young Learners' Speaking Achievement

This study concerns the effect of using Picture Describing and Storytelling to the 5th grade students' speaking achievement. This study was accomplished in the second year of a private Primary School in Kupang which consisted of 48 students as the participants. The writer used quasi-experimental research using nonrandomizedpre-test and post-test group as her design. The writer found out that the gain scores’ mean of pre-test and post-test in the experimental group was 6 and the gain scores’ mean of pre-test and post-test in the control group was 3. With the level of significance at 5%, the writer found out that the t observation (to) of the experimental group and the control group was 2.476. Since to (2.476) is greater than t-table (2.015), so Ho is rejected and Ha is accepted. It means that there is a significant difference between the speaking achievements of students who were taught using Picture Describing and students who were taught using Storytelling.
LOCATION BASED WEB SERVICES

Location Based Services (LBS) can make our lives more comfortable and productive, it may cause an invasion of privacy by disclosure and commercial use of location information. Nowadays, location-based services are widely utilized, including identifying user locations. In our project we proposed location-based services for corporation . Here we are going to solve the particular areas problems like water problem, electricity problem and sewage problems in a particular area. Once we are going to file complaints in this website that’s will be moved on to the particular department. Then they will view our complaints after that they will response our complaints. Once the problem will solve that information send to the user.The user information is secured with help of AES algorithm. In this project we using LBS for solving the basic problems in all area.
PEMODELAN HIDROLOGI DENGAN HEC-HMS DI SUB-DAS KARANGMUMUS SAMARINDA

Hydrological Modeling with HEC-HMS in the Karangmumus Sub-watershed Samarinda. The HEC-HMS is used to develop a model of water flow in the Karangmumus which can be used as an alternative for flooding problem. The purpose of this study is to determine the amount of flow discharge generated from rainfall that enters the Karangmumus using the HEC-HMS and to determine the effect of rain parameters on the HEC-HMS to make an hydrological model simulation.For simulation using daily rainfall and water level data, curve number, percentage of watertight, amount of initial absorption and the time needed to reach the peak discharge in the sub-watersheds obtained from the river model created. The highest rainfall Karangmumus Sub-watershed that is 84,4 mm produces a discharge of 211 m3/sec and at the lowest rainfall of 1,05 mm produces a discharge of 3,4 m3/sec. Hydrological modeling of the simulation results has the same hydrograph with the rainfall data but not the discharge data calculated with the rating curve. The validation of observing the debit data of the efficiency value (NSE) &lt;0,36 which means that the data used are not satisfactory or invalid.
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Color-based moment invariants under changing illumination

Color, which is effective information for computer vision, is vulnerable to variations in illumination. It is necessary to achieve illumination invariance for the description of an image’s color information. We propose two new color spaces that are robust to illumination changes: the color information color space based on the diagonal-offset model and the edge color space, the two channels of which are derived from the spherical color space and the linear transformation between the dark channel and the bright channel. Then, we propose a color moment invariant descriptor according to Hu moment invariants in the two new color spaces. We test the performance of the color descriptors with illumination variations in the context of object recognition and image retrieval. Experiments show that our descriptor has satisfactory stability for light variations.
A Strategy of QoS Optimization for Web Services

To ensure the performance of software systems based upon service-oriented architecture (SOA), quality of service (QoS) is documented as a service-level agreement (SLA) with official commitments specified for both service consumers and providers to follow. As part of an overall framework developed to predict and prevent SLA violation, this paper proposes a novel strategy that uses combined global and local searching to help service providers in achieving design optimum without overprovision of resources. Experimental results demonstrate that the proposed method outperforms other commonly used methods in search efficiency while retaining competitive with those methods in optimization accuracy.
LibGuides: COVID-19 Guide: Using the Library from Home

Resources & information to help Fresno State students and employees navigate the COVID-19 pandemic.
TEACHER-STUDENT RAPPORT AND STUDENTS' SPEAKING PERFORMANCE IN ELT

This research is conducted to address low students’ speaking performance and many teachers who are unaware of how to build rapport. This study is a mixed method research with sequential explanatory model which aims at investigating the relationship between the two dimensions of teacher-student rapport and students’ speaking performance and discovering teacher’s strategies in building rapport in an ELT context. The result shows a significant positive correlation between teacher connectedness and speaking performance (robt = 0.735), a significant negative correlation between student’s anxiety when interacting to English teacher and students’ speaking performance (robt = -0.670), three related aspects of rapport and speaking performance, and teacher’s strategies to build rapport Keywords:correlation, ELT context, rapport, speaking-performance, teacher-student rapport
APPROACH TO IMAGE ANALYSIS FOR COMPUTER VISION SYSTEMS

This paper suggests an approach to the semantic image analysis for application in computer vision systems. The aim of the work is to develop a method for automatically construction of a semantic model, that formalizes the spatial relationships between objects in the image and research thereof. A distinctive feature of this model is the detection of salient objects, due to which the construction algorithm analyzes significantly less relations between objects, which can greatly reduce the image processing time and the amount of resources spent for processing. Attention is paid to the selection of a neural network algorithm for object detection in an image, as a preliminary stage of model construction. Experiments were conducted on test datasets provided by Visual Genome database, developed by researchers from Stanford University to evaluate object detection algorithms, image captioning models, and other relevant image analysis tasks. When assessing the performance of the model, the accuracy of spatial relations recognition was evaluated. Further, the experiments on resulting model interpretation were conducted, namely image annotation, i.e. generating a textual description of the image content. The experimental results were compared with similar results obtained by means of the algorithm based on neural networks algorithm on the same dataset by other researchers, as well as by the author of this paper earlier. Up to 60 % improvement in image captioning quality (according to the METEOR metric) compared with neural network methods has been shown. In addition, the use of this model allows partial cleansing and normalization of data for training neural network architectures, which are widely used in image analysis among others. The prospects of using this technique in situational monitoring are considered. The disadvantages of this approach are some simplifications in the construction of the model, which will be taken into account in the further development of the model.