Data Sorting Research Articles

Packet Filtering Automation System Design Based on Data Synchronization on IP Profile Database Using Python

Data traffic on a dense network is a threat to cybercrime and a high vulnerability for technology companies so that the challenges to prevent it will be more diverse. Adding a strengthening of the boundary wall or firewall and sorting data through packet filtering plus writing firewall rules to prevent malware and attacks from outside at the network device level is an alternative to protect the traffic you have. When heavy traffic makes data exchange uncontrollable, this research will create an automation design so that the sorting of incoming data packets through selection based on the specified rules runs in real-time so that the prevention of crime that enters the network is more swiftly handled. The system is running successfully by connecting the MQTT Collector as a subscriber that uses the python programming language to retrieve profiling data from the IP Profile database. The system was tested on a mikrotik router RB951Ui-2HnD which then the blocking track record will be stored in the Dynamic Firewall Data database in MongoDB. Also added a tool for controlling data in storage in the form of a program release. The results of the test show that data with an average base score above 20 is blocked and then stored in the block list in checking the collection in the database every 30 seconds. In addition, the data in the database will be checked every day within 30 days which will then be released and recorded in the release log in MongoDB.

Investment in Learning Chinese by International Students Studying Chinese as a Second Language (CSL)

This study, drawing on the theoretical model of investment, explores what motivates and encourages international students studying Chinese as a second language (CSL) to invest in their Chinese learning using Q sorting and interview data collected from 15 international undergraduate students studying in mainland China. The results reveal that: (1) CSL students’ incentives for investment are intra-personally and inter-personally diverse and can be divided into three categories (multilingual posture and cultural capital-oriented, economic capital-oriented, and cultural capital and experience-oriented); (2) CSL students’ Chinese learning investment is dynamic, as they aim to enrich their learning and life experiences after studying Chinese for a period of time; (3) CSL students’ investment is apparently driven by multiple perceived benefits, in that utilitarian objectives (e.g., scholarships, employment opportunities, and educational qualifications) are characteristic of CSL students’ investment, but are also interwoven with some non-utilitarian objectives (e.g., enriching one’s experience and making friends). The findings have some implications for CSL education and future studies.

The practical ethics of repurposing health data: how to acknowledge invisible data work and the need for prioritization.

Throughout the Global North, policymakers invest in large-scale integration of health-data infrastructures to facilitate the reuse of clinical data for administration, research, and innovation. Debates about the ethical implications of data repurposing have focused extensively on issues of patient autonomy and privacy. We suggest that it is time to scrutinize also how the everyday work of healthcare staff is affected by political ambitions of data reuse for an increasing number of purposes, and how different purposes are prioritized. Our analysis builds on ethnographic studies within the Danish healthcare system, which is internationally known for its high degree of digitalization and well-connected data infrastructures. Although data repurposing ought to be relatively seamless in this context, we demonstrate how it involves costs and trade-offs for those who produce and use health data. Even when IT systems and automation strategies are introduced to enhance efficiency and reduce data work, they can end up generating new forms of data work and fragmentation of clinically relevant information. We identify five types of data work related to the production, completion, validation, sorting, and recontextualization of health data. Each of these requires medical expertise and clinical resources. We propose that the implications for these forms of data work should be considered early in the planning stages of initiatives for large-scale data sharing and reuse, such as the European Health Data Space. We believe that political awareness of clinical costs and trade-offs related to such data work can provide better and more informed decisions about data repurposing.

Secure word-level sorting based on fully homomorphic encryption

Fully homomorphic encryption enables to perform arbitrary computations over encrypted data opening a new avenue for the secure outsourced computation in cloud computing. Data sorting is a classical computational problem in computer science. Previously, all the secure sorting algorithms based on fully homomorphic encryption made use of the bit-level encryption, which requires that each bit of the input data is encrypted separately. However, the bit-level encryption incurs expensive computational overheads and a large ciphertext expansion. In this paper, we propose a secure word-level sorting scheme based on fully homomorphic encryption. We introduce a set of novel techniques to design an efficient word-level sorting algorithm. These include a new technique to compare two encrypted integers, a constant extraction technique to postprocess the output ciphertext of the comparison algorithm, an equality test method to check whether two ciphertexts encrypt the same integer and the single instruction multiple data technique to reduce the ciphertext sizes and improve the computational performance. The experimental results show that our word-level sorting algorithm outperforms the state-of-the-art bit-level sorting algorithm by more than 10 times.

Seismic data IO and sorting optimization in HPC through ANNs prediction based auto-tuning for ExSeisDat

ExSeisDat is designed using standard message passing interface (MPI) library for seismic data processing on high-performance super-computing clusters. These clusters are generally designed for efficient execution of complex tasks including large size IO. The IO performance degradation issues arise when multiple processes try accessing data from parallel networked storage. These complications are caused by restrictive protocols running by a parallel file system (PFS) controlling the disks and due to less advancement in storage hardware itself as well. This requires and leads to the tuning of specific configuration parameters to optimize the IO performance, commonly not considered by users focused on writing parallel application. Despite its consideration, the changes in configuration parameters are required from case to case. It adds up to further degradation in IO performance for a large SEG-Y format seismic data file scaling to petabytes. The SEG-Y IO and file sorting operations are the two of the main features of ExSeisDat. This research paper proposes technique to optimize these SEG-Y operations based on artificial neural networks (ANNs). The optimization involves auto-tuning of the related configuration parameters, using IO bandwidth prediction by the trained ANN models through machine learning (ML) process. Furthermore, we discuss the impact on prediction accuracy and statistical analysis of auto-tuning bandwidth results, by the variation in hidden layers nodes configuration of the ANNs. The results have shown the overall improvement in bandwidth performance up to 108.8% and 237.4% in the combined SEG-Y IO and file sorting operations test cases, respectively. Therefore, this paper has demonstrated the significant gain in SEG-Y seismic data bandwidth performance by auto-tuning the parameters settings on runtime by using an ML approach.

Pengaruh Digitalisasi Al-Quran Terhadap Intensitas Pembacaan Al-Quran Pada Pelajar di Kota Bandung

The research conducted by the author aims to observe more broadly the impact of the emergence of various digital Al-Quran products as a product of digitalization in the field of religion. The impact in question is devoted to the intensity of the readings carried out and the usefulness obtained by the users. The research method used in this study is a qualitative descriptive analysis method. The questionnaire that has been made consists of several parts, namely, identity and questions. This questionnaire contains a total of 13 questions. This questionnaire consists of two types of questions, namely, fill-in questions (essays) and choice questions (yes/no. The data analysis of the survey results is processed by means of data collection, data sorting or filtering, data presentation, and data simplification. Then the data from the research analysis are summarized in the concept of and classified according to categories and poured in descriptive form and then the final conclusion is drawn. The results obtained are a decrease in the intensity of reading the Qur'an in respondents. In addition, overall the respondents prefer the conventional Al-Quran over the digital Al-Quran. This is reinforced by the preference for the conventional Al-Quran in several aspects such as the level of understanding in studying the Qur'an, the level of appreciation and practice of the Qur'an, and the level of increasing reading intensity. .Nevertheless, the majority respondents agree that the emergence of a digital Al-Quran can facilitate various aspects of life.

Analisis SWOT Sebagai Strategi Meningkatkan Daya Saing Pada Lim’s Cafe and Resto Tebing Tinggi

In determining the marketing strategy of a business requires the right tools/methods, one of which is using a SWOT analysis. SWOT analysis is an analysis of four elements consisting of strengths, weaknesses from the internal environment, opportunities and threats from the external environment. This study aims to determine the SWOT analysis strategy in increasing competitiveness at Lim's Cafe and Resto Tebing Tinggi. This type of research is descriptive qualitative with data obtained from both field data and literature processed through three stages, namely exposure of data based on the systematics that have been described (display), selecting and sorting data relevant to the discussion (reduction) and drawing conclusions (conclusion). ). The method used is Triangulation, namely Triangulation of Sources, Techniques and Theory. The results of the study, the internal factors of Lim's Cafe and Resto Tebing Tinggi have a value of 3.35 indicating the company's strategy in utilizing strengths and minimizing weaknesses is above average and internal conditions at this company tend to be strong and external factors of Lim's Cafe and Resto Tebing Tinggi have the value of 2.60 indicates the company's strategy in taking advantage of external opportunities and avoiding threats that will affect the company is above average and external conditions in this company tend to be strong. From the results of the comparison of the internal and external sectors, the company's ability to compete is in an aggressive growth strategy position, which is to make optimal use of the strengths and opportunities it has.

The Image of Hindu Women in Conducting Their Swadharma

Women are creatures that are identical with the symbols of the world, as a balancer for the entire universe, women is discussed from era to era, from the Krtayuga era to the present, much debated era, the Kaliyuga era. Women are still discussed especially with regard to their inner and outer forms. To produce valid and reliable data, this research uses qualitative research methods. To produce logical data, this article performs several stages of data sorting as follows: 1). Data reduction, 2). Data display, 3). Data verification and, 4). Data interpretation from the articles. Related references really support the validity of a scientific work, therefore library techniques are also used through literature exploration on Google Scholar.
 The unique story of a creature named a woman is still a mystery by the analogy of men. The behavior of women from the incarnation of God who is born from a mother conceives that the woman is indeed a balancer both from bhuana agung and bhuana alit, the role and nature of a woman is very much different from that of men, starting from giving birth to regeneration - men do not can do this - but with the absence of men, women will also not be able to give birth to a baby. Hindu women who play a lot of roles in all their practices and customs, exhaust their minds and energy to live this attachment. Not to mention the modern era that is entangled in the economy and fashion in the social media era. Can Hindu women manage their lives for things like that? To be a career woman or traditional woman are not an easy thing to do, the consequences in living it are always there and the risk in every decision will give birth to pros and cons, and Hindu women, who are discussed in this article, are hoped to persist in every era while maintaining a positive image for Hindu women in carrying out their swadharma (obligation).
 Keywords: Image of Hindu Women, In Conducting Their Swadharma

Visual Mining Method of Japanese Movie Resources Based on Association Rules

One of the crucial fields of study that is getting more attention is association rule mining. It is crucial to databases' knowledge discovery (KDD). KDD and association rule mining have a very broad use. It has evolved at a rapid rate over the past fifteen years. Association Rule Mining is a novel technology, although it is still in the discovery and development stages.
 Video is an illustration of interactive media data since it contains text, pictures, meta-data, visual, sound, and different kinds of data. It is frequently used for a variety of important likely reasons, such as security and reconnaissance, amusement, healthcare, educational endeavours, and sports. One of the main issues for the local data-mining research community is video data mining, which aims to find and comprehend fascinating examples from the large volume of video data. Video data mining is still in its infancy when compared to mining other sorts of data.
 It is pivotal to grasp and naturally mine the information from video databases considering the continually extending computerized libraries and video databases. Differentiating association rules between components in a significant video library is critical in the field of video data mining. As per continuous imaginative work, association rule mining is being utilized rapidly in various tasks, including perception, social affairs, broadcast news, sports, records, films, clinical data, as well as on the web and individual media assortments. This exploration tries to give a far reaching method to association rule extraction from video databases.

Averaged recurrence quantification analysis

Recurrence quantification analysis (RQA) is a well established method of nonlinear data analysis. In this work, we present a new strategy for an almost parameter-free RQA. The approach finally omits the choice of the threshold parameter by calculating the RQA measures for a range of thresholds (in fact recurrence rates). Specifically, we test the ability of the RQA measure determinism, to sort data with respect to their signal to noise ratios. We consider a periodic signal, simple chaotic logistic equation, and Lorenz system in the tested data set with different and even very small signal-to-noise ratios of lengths 10^2, 10^3, 10^4, and 10^5. To make the calculations possible, a new effective algorithm was developed for streamlining of the numerical operations on graphics processing unit (GPU).

Adjective + yi dian in Mandarin Chinese and its equivalent in Indonesian language: A contrastive analysis

In the last decade, Mandarin Chinese has been standing as the most studied language as a foreign language. The structure of Mandarin Chinese is not necessarily similar to the grammatical structure of Mandarin Chinese learners. In daily life, structure of different ideas produces different pragmatic functions in the grammar. This article aims to describe the difference between the discourse of "adjective + a little bit" and Indonesia. The data source comes from the Modern Chinese Corpus of Academia Sinica, Taiwan. The stages of data analysis are data sorting, data classifying into four groups, and data analysis. From the corpus, there are 697 sentences with一點/ yi dian/ adverbs in "adjective +【一點】/ yi dian/" including【比較+形容詞+一點】or comparison+adjective+【一點】/ yi dian/] and 56 sentence-word adverbs in "[adjective+particle【了】/le/+【一點】/ yi dian/]" which contains"【太+adjective" +了+一點】. The first group of "adjective +【一點】" category has (83.95%) sentences; there are 66 adjective categories with only one word such as: 【好】/hao/ good,【多】/duo/many,【小】/xiao/small,【大】/da/big, etc. and 554 have two words such as: 【大方】/dafang/ generous，【隨便】/fangbian/ comfortable，【舒服】/shufu/ comfortable, etc. and a sentence pattern using "Adjective+Adjective's form +【一點】, such 【小小】/xiao xiao/ "small". The category of the second group of "comparative + adjective +【一點】’a little’ " has 65 (8.6%) sentences. There are 42 (5.58%) sentences in the third group of "Adjective + 【了】/le/ + a little " category. The fourth group of "【太】/tai/+ Adjective + a little bit" structure has only 14 sentences (1.87%). Keywords: adjective, a little, Mandarin Chinese, Indonesian language, comparison

Experimental Research on Heat Transfer Performance of CO2 Tube Bundle Falling Film Evaporator

Abstract CO2 is a promising refrigerant substitute, and falling film evaporator is widely used in high-capacity heat pump systems. In this article, a CO2 heat pump experimental device is built. According to experimental parameters, a CO2 falling film heat exchanger is fabricated. The falling film heat exchanger is used in heat pump evaporator, and its heat transfer characteristics are analyzed and tested. The outer diameter of the heat exchanger is 219 mm, outer diameter of the inner tube is 15.88 mm, and total outer surface area of the inner tube is 0.58 m2. Number of internal tubes was 12, each with a length of 0.97 m. During the test, change of heat transfer coefficient of each tube was analyzed when evaporation temperature, CO2 mass flowrate, and heat flow density changed. The influence of the position of heat exchange tube inside falling film evaporator on heat transfer coefficient is analyzed. The order of heat transfer coefficient of internal heat exchange tube is obtained. Finally, database of CO2 falling film evaporator is established. Through data sorting, heat exchange correlation formula is obtained. The deviation of 90% data in database is less than 5%. Heat exchange correlation formula has good accuracy.

Sorting in Memristive Memory

Sorting data is needed in many application domains. Traditionally, the data is read from memory and sent to a general-purpose processor or application-specific hardware for sorting. The sorted data is then written back to the memory. Reading/writing data from/to memory and transferring data between memory and processing unit incur significant latency and energy overhead. In this work, we develop the first architectures for in-memory sorting of data to the best of our knowledge. We propose two architectures. The first architecture is applicable to the conventional format of representing data, i.e., weighted binary radix. The second architecture is proposed for developing unary processing systems, where data is encoded as uniform unary bit-streams. As we present, each of the two architectures has different advantages and disadvantages, making one or the other more suitable for a specific application. However, the common property of both is a significant reduction in the processing time compared to prior sorting designs. Our evaluations show on average 37 × and 138× energy reduction for binary and unary designs, respectively, compared to conventional CMOS off-memory sorting systems in a 45 nm technology. We designed a 3×3 and a 5×5 Median filter using the proposed sorting solutions, which we used for processing 64×64 pixel images. Our results show a reduction of 14× and 634× in energy and latency, respectively, with the proposed binary, and 5.6× and 152×10 3 in energy and latency with the proposed unary approach compared to those of the off-memory binary and unary designs for the 3 × 3 Median filtering system.

Young adults with psychosis: Intentions for cannabis reduction and cessation based on theory of planned behavior.

Young adults experiencing a first episode of psychosis (FEP) have high rates of cannabis use and cannabis use disorder (CUD). No evidence-based practice effectively treats CUD for people with FEP, and little is known about factors that influence intentions to reduce or stop using. A critical inquiry was conducted to identify salient factors contributing to intentions of young adults with FEP to reduce or discontinue cannabis use, guided by theory of planned behavior (TPB). Online focus groups (n = 3) and individual interviews (n = 3) were conducted with 16 young adults with FEP (mean age of 23.7) and historical cannabis use (averaging 11.8 days of use in the previous 30). A content analysis was conducted to sort data into TPB constructs, and a thematic analysis was subsequently performed to identify the breadth of themes. Participants identified benefits of cannabis reduction and cessation for pursuing life goals, but most maintained regular use. Participants perceived cannabis as a facilitator of social interactions, enjoyable activities, and improved mental health (and reduced dysthymia). Many were concerned about reducing or discontinuing cannabis without replacement strategies to compensate for its benefits. In spite of life goals incompatible with cannabis use, cessation was not favored given the perceived benefits of cannabis and participants' lack of replacement strategies to facilitate social interactions, enjoyable activities, and euthymia. Interventions may be improved by addressing motivations for use and by teaching skills to build positive social support, schedule enjoyable activities, and ameliorate dysthymia. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

An Analysis of Madrasah Curriculum and Its Implementation in Basic Education Institutions

This study aims to analyze the curriculum used by madrasas and their implementation in basic education institutions. This study uses a qualitative approach with a descriptive study method. Data collection was carried out using observation techniques, interviews, and document studies. Furthermore, data analysis uses data sorting, presentation, and data verification techniques. The results of this study conclude that the curriculum used by Madrasah Tsanawiyah Al-Washliyah Stabat is the 2013 curriculum (revised) as a learning guide and human resource development (teachers and students) in madrasas. Implementation of the curriculum begins with socialization to teachers regarding changes in the 2013 curriculum, providing training for teachers to improve classroom management skills and the learning process, preparing academic schedules, completing textbooks (for students or teachers according to the latest edition), as well as carrying out academic supervision and managerial in the learning process.

Curriculum Management Development Strategy in Madrasah (Visionary Studies in Educating Students at the Elementary Education Level)

The curriculum contains indicators of the success of the learning process, starting from aspects of planning, implementation (core activities) and closing. For this reason, the curriculum requires effective management and development strategies, so that it is adaptive to the times and in accordance with the needs of students. This study aims to analyze curriculum management and development strategies at MTsN 4 Mandailing Natal. This study uses a qualitative approach with descriptive analytical study method. Data collection was carried out systematically through interview, observation and documentation studies. Furthermore, the data were analyzed using reduction techniques (data sorting), data presentation, and drawing conclusions. The results of this study conclude that the development of curriculum management in madrasas is optimized by the Head of MTsN 4 Mandailing Natal through 4 madrasa internal strategies, namely (1) curriculum development based on teaching materials must be equipped with references (books) as teaching companions; (2) teachers are required to be proactive in facilitating student learning processes and connecting students with various learning resources; (3) providing adequate teaching aids; and (4) providing direct guidance from the head of the madrasa to teachers in training activities or quality improvement workshops.

SWOT Analysis in Quality Improvement Planning in Integrated Islamic Elementary Schools

This study aims to analyze SWOT in quality improvement planning at the integrated Islamic elementary school Ad-Durrah Medan. This study uses a qualitative approach with a descriptive study method. Data collection was carried out systematically, starting from observations, interviews with informants, and document studies. Data analysis uses reduction techniques (data sorting), data presentation, and conclusion drawing. Finally, the validity of the study was tested through the persistence of observations and triangulation of data. The results of this study concluded that the quality improvement plan at SDIT Ad-Durrah Medan was well implemented, including the tahfiz al-Qur'an program, strengthening character education, adding extracurricular activities, and strengthening Islamic personal development programs. This is characterized by 4 aspects, namely (1) strengths, including strategic school locations, adequate learning facilities, competent school human resources, conducive and beautiful school climate, and assessment standards that involve (coordination) with parents/guardians of students; (2) weakness, in the form of an unaccredited school; (3) opportunities, including; potential (talents) of students, support from parents/guardians, academic and non-academic achievements of students at the city and provincial levels, as well as harmonious relations between the school and the surrounding community; (4) threats, critical attitude of students' guardians towards children's development, so that teachers must be wiser in leading learning, making decisions and giving exemplary attitudes.

The Preparation of Strategic Plans for Elementary School Students of Islamic Educational Institutions

The strategic plan is a form of madrasah effort in the orientation of achieving educational success. This study attempts to analyze the preparation of the strategic plan carried out by the Private Madrasah Ibtidaiyah (MIS) Kesuma LKMD Namorambe. This study uses a qualitative approach with descriptive analytical study method. Data collection was carried out using in-depth interview techniques, participant observation and document review. Furthermore, the data were analyzed using data sorting techniques according to relevance to the research theme, then presented in a qualitative format, and verified to draw conclusions. Test the validity of the data using the persistence of observation and data triangulation techniques. The results of this study conclude that first, the strategic plan (renstra) is used as the basis for the preparation of periodic (semester/annual) institutional programs based on the vision, mission, and goals of the madrasa. This is intended to clarify the details of program objectives, madrasah internal policies, and implementation strategies. Second, the strategic plan as the basis for program implementation at MIS Kesuma LKMD Namorambe. Third, the strategic plan has a close relationship (interrelated) with the operational plan in an effort to achieve the goals of the madrasa.

Assessment of skeletal relationships in cleft palate with or without cleft lip: A cone-beam computed tomography study in a pakistani population.

Understanding the different skeletal relationships in orofacial clefts by using cone-beam computed tomography (CBCT) may eventually lead to developing better diagnosis and treatment protocols for facial deformities. The objective of this study was to investigate the different skeletal relationships in the cleft palate with or without cleft lip (CP ± L), using CBCT scans. This is a retrospective study conducted at the Orthodontics and Oral Radiology department, CMH-Lahore medical college and Institute of dentistry. In the current study, 4,152 CBCT scans (dcm format) were collected from a radiology center in Lahore, Pakistan between February 2015 and February 2018. All CBCT scans were imported to the Romexis Viewer, version 4.4.0 (Planmeca, Finland). Data sorting was performed to identify age, sex, cleft phenotype, unilateral cleft quadrant, sagittal skeletal relationship, and facial soft tissue involvement. Statistics were generated, using the Chi-square test. A P value <0.05 was considered statistically significant. We identified 73 cases of CP ± L in the sample. The male-to-female ratio was 1.21:1. Bilateral cleft lip and palate (BCLP) mostly affected males (60%), whereas unilateral cleft lip and palate (UCLP) mainly affected females (57.6%), with a left-side female predominance. The different cleft phenotypes do not show any statistically significant difference regarding skeletal relationships and sex (P > 0.05). Skeletal class III relationships were found to be predominant in both sexes, followed by class II, and class I skeletal relationships. Henceforth, such CP ± L patients should be pre-emptively screened in early life to avoid such skeletal complications.

클라우드컴퓨팅서비스의 이용자 정보 압수수색에 관한 소고

The COVID-19 crisis has facilitated teleworking and it has triggered a surge of cloud-based team collaborative platforms supporting teleworking. The team collaborative platforms save every kind of working data from users such as meeting contents, in-company shared information and business commands to cloud computing server.&#x0D; Even though there has been lots of prior studies on the search and seize the data saved in the cloud computing service, cloud-based team collaborative platforms haven’t been focused enough. The team collaborative platforms apply a high level of encryption technology to store customer’s data so that occasionally it cannot be reached without using the platform specific technology. That sort of data is not only saved in the cloud storage, but also be realized based on the cloud computing service.&#x0D; Therefore, this paper tried to develop the prior studies by presenting possible issues and opinions on the process of search and seize for the team collaborative platforms considering their technical characteristics.