Reviewerly/exHarmony huggingface dataset:
Frequency Information Disentanglement Network for Video-based Person Re-Identification

Recently, most video-based person re-identification (Re-ID) methods adopt complex model or multi-scaled information to explore more discriminative spatio-temporal clues, thus achieving better retrieval accuracy. However, we witness that these approaches involve significant higher computation costs but only improve limited performances. Therefore, the overarching goal at this stage is to solve video Re-ID on the trade-off between accuracy and efficiency, thereby boosting the application in real scenarios. Frequency transform provides advantages of simplified representation, identification of hidden information and noise filtering in signal processing. Motivated by this, we treat the complex spatio-temporal feature as signal and convert it to frequency domain. By directly analyzing frequency clues, complex feature extraction procedures can be avoided. Specifically, this paper proposes a novel paradigm by categorizing video features into low/high and spatial/temporal frequency information. Then, with the help of 3D DCT, we theoretically establish the transform equivalence relationship between spatio-temporal domain and frequency domain. Finally, this paper proposes a simple and intuitive Frequency Information Disentanglement Network (FIDN) for video Re-ID. By extracting and applying both low and high frequency spatio-temporal features from a disentangling way, FIDN achieves comprehensive and discriminative video representation. Extensive experiments indicate that FIDN reaches the state-of-the-arts with only one convolution layer addition against baseline.
APLIKASI PENGENALAN ALAT MUSIK TRADISIONAL SUMATERA SELATAN MENGGUNAKAN TEKNOLOGI AUGMENTED REALITY

South Sumatra has several traditional musical instruments in the form of Burdah OKU, Gong, Kolintang, Flute, Gambus, Trumpet, Weaving, Genggong, Tambourine, Kenong Basemah. In this research, an application for recognizing traditional South Sumatran musical instruments has been designed and implemented by utilizing Augmented Reality technology. Augmented Reality is a combination of real objects and virtual objects that run interactively in real time. With the existence of technology in the form of Augmented Reality, it will facilitate the process of recognizing information and displaying objects of traditional musical instruments in South Sumatra. This research aims to help reintroduce residents to increase their knowledge of traditional musical instruments in South Sumatra. The software development method used to design and implement traditional musical instrument recognition applications is the Rational Unified Process method. Application testing is carried out using black-box testing and user testing. User testing was carried out by distributing questionnaires at Madrasah Ibtidaiyah Marfu'ah to grade 5 students. User satisfaction testing was calculated using a Likert scale and the results of the questionnaire questions obtained had a final score of 91% which was included in the strongly agree category
Pengembangan Desain Pesan Podcast Sebagai Media Pembelajaran Bahasa Inggris

The development of Podcast Message Design is carried out as an effort to solve learning problems where the lack of learning media used by teachers during the learning process has an impact on the low interest in learning and motivation of students. Podcast is one of the media that can support student learning both at school and individually at home. Learning media can be used as an alternative to reduce problems in learning in students' listening skills, so that learning can be fun. This study aims to develop a Podcast media in the eighth grade English subject in order to produce a media that is valid and suitable for use by teachers and students. This type of research is research and development (Research &amp; Development) with a 4D model (Defind, Design, Development, Disseminate). The product validity test developed was carried out by three validators consisting of one material expert and two media experts. The product trial or practicality was carried out to the students of class VIII SMP with a total of 22 students to test the practicality of the podcast media product for Class VIII SMP English Subjects that had been designed. Based on the results of the assessment of the material validator and media validator, the material validation results obtained an average of 4.8 categorized as "very suitable", the validation results from the media validator 1 obtained an average of 4.5 categorized as "appropriate" and the media validator 2 obtained an average of 4.78 is categorized as "very feasible". This podcast media is said to be "practical" based on a practicality test with an average value of 4.57. Based on the results of the validity and practicality tests, it can be concluded that the Media Podcast for Class VIII Junior High School English Subjects that was developed is suitable for use in English Class VIII Junior High School Subjects.
Evolutionary Computation for Feature Selection and Feature Construction

tutorial Share on Evolutionary Computation for Feature Selection and Feature Construction Authors: Bing Xue School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand https://orcid.org/0000-0002-4865-8026View Profile , Mengjie Zhang School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand https://orcid.org/0000-0003-4463-9538View Profile Authors Info & Claims GECCO '23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary ComputationJuly 2023Pages 1129–1156https://doi.org/10.1145/3583133.3595050Published:24 July 2023Publication History 0citation21DownloadsMetricsTotal Citations0Total Downloads21Last 12 Months21Last 6 weeks15 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Bringing Counterclaimants in: Corporate Social Responsibility and Media Coverage of Firms

Previous research implicitly assumes problems (e.g., social and environmental problems) as conditions that are self-evidently harmful and suggests that firms addressing these problems through their corporate social responsibility (CSR) activities are likely to be perceived positively. However, this research overlooks a central property of problems: a self-evidently harmful condition does not necessarily constitute a problem, instead, a condition becomes a problem only when it is labeled as such. We therefore shift attention to the labeling of conditions as problems or non-problems, wherein claimants label a focal condition (e.g., climate change) as a problem, and counterclaimants contest the label and seek to establish the focal condition as a non-problem (e.g., climate change denial). By contesting the labeling of a condition as a problem, counterclaimants are less likely to positively view firms that address the focal conditions through their CSR activities. Focusing on conservative newspapers in the US as counterclaimants of the conditions addressed through CSR activities, we found support for our hypothesis that conservative newspapers, relative to other newspapers, report less positively about firms that engage in CSR. Overall, our study emphasizes the labeling of problems and their contestations as a central yet typically overlooked aspect of what CSR is and how audiences evaluate firms that engage in CSR.
PERANCANGAN SISTEM INFORMASI PENYEWAAN JASA DEKORASI BERBASIS WEB PADA GIANLUCA PROJECT

Design of Information System Based Decoration Services Rental Web The Gianluca Project is a plan created to help customers in making bookings and paying for decoration services and helping the Gianluca Project admin in processing booking data and paying for decoration services better. The booking process at the Gianluca Project is still using semi-technological methods, namely customer contact directly with the owner through the application Whatsapp. The design of a Web-Based Decoration Service Rental Information System at the Gianluca Project has a features gallery which contains projects that have been done by the Gianluca Project and there are decoration packages that customers can choose from. Information System Design Information System Design uses the development methodology System Development Life Cycle (SDLC) Waterfall. The database used by this application uses a database MySQL. The programming languages ​​used are HTML, CSS and PHP with Framework Bootstrap that generates web apps that are interesting and dynamic. With application web dynamic ones can help the admin in accessing and processing data, as well as helping customers in doing booking and transactions that may affect business development.
A Minimum Operator Based Discrete-Time Super-Twisting-Like Algorithm

In this article, a minimum operator (MO) based approach is proposed for discrete-time super-twisting-like algorithm which has different roots unlike its contemporaries, most of which are based on Euler-discretization (ED). The algorithm is proposed for both unperturbed and perturbed cases. The application of this algorithm is further explored for the super-twisting observer (STO) that yields the finite-time estimation of the system states. An illustrative example of a pendulum system with known as well as unknown input is considered for the state observation problem. Simulation results show the effectiveness of the proposed algorithm.
Test Criteria for Context-Aware Mobile Applications

Context-aware mobile apps provide adaptive services that depend on the changing environments. The challenge in testing context-aware mobile apps holds in that these apps adapt their behavior when context conditions are changing. According to an exhaustive survey of the testing context-aware mobile apps research area, current testing approaches take into consideration the apps functions and different contexts but do not consider testing coverage criteria nor evaluate the coverage of various situations. Our work is intended to fill this gap. In our previous research work, we presented a test model for context-aware mobile apps dealing with changing location context based on the combination of a Bigraph Reaction System and a Dynamic Feature Petri Net. In this paper, we propose a new test criterion for context-aware mobile apps. This criterion results from the combination of pattern-flow-based coverage criteria and boundary-based coverage criteria. With this criterion, we select the user’s location coordinates inside partition boundaries, which help narrowing the input data space and cover all test situations in test process.
PENERAPAN DATA MINING MENGGUNAKAN HIERARCHICAL K-MEANS BERDASARKAN MODEL RFM

E-commerce has become an inseparable part of the global retail work environment, where this has an impact by presenting new business competition so that companies are required to determine strategies to be able to gain profits. &#x0D; The purpose of this study is to produce customer segmentation using a combination of Hierachical K-Means Clustering algorithms on online retail transaction data that is transformed into Recency, Frequency, and Monetary (RFM) forms and obtain grouping results that have a high degree of similarity by evaluating clusters that are formed using Silhouette analysis. &#x0D; The results of the study stated that the validation test using the Silhouette Coefficient of the combination of the Hierachical K-Means Clustering algorithm was superior to the K-Means algorithm with the optimal coefficient value of the combination of the K-Means algorithm and the Ward method of Hierachical Clustering, namely 0.54027 with the number of k = 4 while the Hierachical Clustering method was K-Means is only 0.44060 with a total of k = 3. Clustering produces two groups of customers, namely Uncertain and Best Customers according to the customer value matrix.
SISTEM INFORMASI PENDAFTARAN SUKARELAWAN BERBASIS WEB PADA KOMUNITAS TEMAN BINCANG

The Volunteer Registration Application for the Teman Bincang Community is a web-based application that is designed to make it easier for users to apply as volunteers in the Teman Bincang Community for specific positions. Teman Bincang is a community that provides online psychological services related to mental health education. The community was established in February 2020, and the people working there are volunteers with specific positions. The information on open positions for volunteering is still limited and currently only available through posts on the Instagram application. The application process also still uses Google Forms with limited features, which means that the information received by the applicants is still limited. The main objective of this thesis is to create a website that will help users to register as volunteers for specific positions in Teman Bincang, which consists of various sections and pages. The recruiters will also be able to view the list of volunteer applicants and other data on the website. &#x0D; The development of this web-based system uses PHP programming language, Bootstrap framework, and MySQL database. The System Development Life Cycle (SDLC) Waterfall methodology is used for the development process, and the testing is done with Black Box Testing and User Acceptance Testing methods. The conclusion of this thesis is that the application runs well in terms of appearance and functionality, without any bugs or errors. Additionally, the application is very user-friendly, easy to understand and easy to use by the user.
PERFORMANCE EVALUATION OF SA-LA ROUTING PROTOCOL FOR WSN INTEGRATED IOT

WSN is considered one of the prominent technology due to the different kinds of operations they are involved in. Secured and energy-efficient data routing is very important in the WSN framework. The main aim of this research is to evaluate the performance of a secured and energy-efficient routing protocol named Self Adaptive-Lion Algorithm (SA-LA) in WSN, as well as in WSN assisted IoT framework. This protocol is evaluated by means of different parameters like residual energy, delay, network lifetime, Node Trust Factor (NTF), Interference factor (IF), throughput and security risk probability. Achieved improved outcomes as network lifetime rose up to 14% also risk probability decreased marginally through 18% compared to previous methods.
SISTEM INFORMASI PELAYANAN DAN KOORDINASI KEGIATAN IBADAH BERBASIS WEB

Web-Based Service Information System and Coordination of Worship Activities for the Next Gen Community at the House of Prayer Church is a web application designed to help ministers from fields involved in worship activities to coordinate with one another and for data processing of congregations, ministers, mentors to be better. The coordination process for services and worship, as well as scheduling is now still being done manually without using a digital system, namely by holding face-to-face meetings at the church or using online messaging services. Therefore, the purpose of creating this web application is so that worship activities can be better and more coordinated. Making this application uses waterfall methodology. The programming languages used are HTML, CSS, Javascript, and PHP with the Bootstrap Framework. The database used is MySQL. After going through the development process, the application is tested using black-box testing which results are satisfactory for the developer. Based on the result of user acceptance testing, the user indicator has a “very good” category.
Analisis Tingkat Kualitas E-learning menggunakan Metode Webqual 4.0 dan Importance Performance Analysis (IPA)

The quality of an academic institution is influenced by its website. E-learning, as a type of website used for learning, offers flexible learning opportunities. In order to enhance the effectiveness of e-learning services, it is necessary to evaluate and identify areas for improvement. This research aims to evaluate the quality of learning using the webqual 4.0 method and Importance Performance Analysis (IPA) to determine gaps and prioritize areas for future improvement. The variables examined in this study include usefulness, information quality, and service interaction quality. A qualitative descriptive design was employed, and data suitability was analysed using the webqual and IPA methods. The research data, consisting of numerical values, was collected through interviews and questionnaires administered to faculty members and students via google form. The evaluation scores for usefulness, information quality, and service interaction quality were found to be 72,9%, 75%, and 74,35%, respectively, indicating good quality. The gap analysis revealed a value of -0,07, suggesting that the e-learning website does not fully meet user expectations. The IPA results showed that quadrants III and IV require improvement due to their low performance, as this can affect the level of importance attributed by users to those attributes.
Influence of Illicit Brews on Security in Rongai Sub-County, Nakuru County Kenya

Illicit brew consumption is a social challenge in most parts of the world today. Although illicit brew consumption results in psychological, social, physical and health problems, available studies have mostly linked the consumption of illicit brew to criminality in western countries with little evidence from the developing countries especially Kenya. The study sought to investigate the influence of illicit brews on security in Rongai Sub-County, Nakuru County Kenya, an area that has experienced an exponential rise of crime cases. The study had three objectives; to establish public perceptions on the influence of illicit brews on crimes causation, establish the influence of illicit brews use on public violence, and to determine the factors that impinge security management measures against illicit brews on security and safety in Kampi ya Moto in Rongai Sub-County. The study utilized a mixed methods research design. The census and purposive sampling techniques were used to draw a sample of 99 community policing committee members and 15 key informants for interviews respectively. The data collection methods were questionnaire and key informant interviews. Descriptive statistics and thematic analysis were used to analyse quantitative and qualitative data respectively. Statistical Package for Social Sciences was used to generate data analysis tools. The study established that Illicit brew consumption is associated with stealing household wares, property, phones and other items to obtain money to buy the liquor. The study also revealed that the common type of public violence caused by illicit brew consumption is fights in the public due to metal impairment as a result of illicit brew consumption. Lastly, the study established that general lethargy and corruption are the main factors impinge security management measures against illicit brews in the study area. The study concludes that illicit brew consumption is associated with crime since it is behind the stealing incidents. The study also concludes that illicit brew consumption in the study area is associated with fights in the public space due to mental judgement impairment to the extent that they fail to understand themselves and are involved in activities that amount to public violence. Lastly, the study concludes that general lethargy and corruption are the factors that impinge security Management measures against illicit brews. The study recommends economic empowerment programs by the government and other stakeholders in development to minimise poverty that drives some households to engage in making and selling illicit brew. The government should come up with strict regulations for law enforcement officers involved in corruption and support of illicit brew making and sale to help reduce the cases of illicit brew in the study area.
Multi-level Attack with Dynamic S-box Variable key Pattern Generation for Key Cohort Using AES

In recent times, data transmission in electronic medium is found to be more susceptible to several attacks. The study aims to control the multi-level attacks in encryption and decryption process by using Advanced Encryption Standard (AES) algorithm based S box operations. In AES based variable key generation pattern, every round generates the new key. The generation of multiple keys strengthen the operation of AES-dynamic S box. The AES algorithm performs operation on a 128 bit plain text and utilizes identical key for decryption and encryption process. The proposed algorithm shows significant improvements in the quality of encryption and decryption. The performance of the proposed system has been analysed in accordance with delay, power consumption and number of slices. Further the efficiency of the proposed system has been compared with other existing methods such as Positive Polarity Reed Muller (PPRM), Modified Positive Polarity Reed Muller (MPPRM) Twisted Binary Decision Diagram (TBDD) and Composite Field (CF) architecture. The results exposed that the proposed system outperforms with superior performance.
CHARACTERS’ ANXIETY AND DEFENSE MECHANISMS OF THE GIRL ON THE TRAIN NOVEL: PSYCHOLOGICAL APPROACH

The goal of this research is to explore the anxiety and defence mechanisms of each female character in The Girl on The Train. The discussion is conducted through a psychological approach by applying Sigmund Freud’s (1926) and Anna Freud's (1993) theories of anxiety and defence mechanisms. The research is descriptive qualitative research. The data was collected by applying highlighting and note-taking techniques. The collected data are sentences which portray the anxiety and defense mechanisms performed by the female character in the story. The results of the analysis shows that (1) Rachel's character shows three forms of anxiety, which are neurotic, moral, and realistic; and three types of defence mechanisms, namely repression, denial, and displacement; (2) Megan’s character shows three forms of anxiety, which are neurotic, moral, and realistic; and shows two types of defence mechanisms, which are denial and displacement; and (3) Anna’s character shows one forms of anxiety, which is realistic; and shows two types of defence mechanisms, which are projection and rationalization.