Design and implement a new secure prototype structure of e-commerce system

<p><br />The huge development of internet technologies and the widespread of modern and advanced devices lead to an increase in the size and diversity of e-commerce system development. These developments lead to an increase in the number of people that navigate these sites asking for their services and products. Which leads to increased competition in this field. Moreover, the expansion in the size of currency traded makes transaction protection an essential issue in this field. Providing security for each online client especially for a huge number of clients at the same time, causing an overload on the system server. This problem may lead to server deadlock, especially at rush time, which reduce system performance. To solve security and performance problems, this research suggests a prototype design for agent software. This agent will play the role of broker between the clients and the electronic marketplace. This is done by providing security inside the client device and converting the client’s order into a special form which is called a record form to be sent to the commercial website. Experimental results showed that this method increase system performance in terms of page loading time, transaction processing and improves the utilization of system resources.</p>

The challenges of empowering waqf land in Indonesia: an analytical network process analysis

Purpose This paper aims to identify the factors that hinder the successful empowerment of waqf land in Indonesia empirically by applying the analytic networking process (ANP). Design/methodology/approach In this study, after the waqf land problem criteria were introduced, an ANP model was developed and applied to identify the main problem, solution and strategy as a framework to guide stakeholders to produce policy recommendations appropriately and optimally. Findings The results showed that the main priority of the problem is the nadzir aspect. Furthermore, each criterion’s problems are a low public trust, unprofessional nadzir (waqf manager), a huge number of idle waqf lands, the absence of waqf certificates and non-economic waqf lands utilisation. Meanwhile, the main priorities for each aspect of the solution are socialisation and education to the community, nadzir certification, utilisation of information technology for the administration of waqf land governance, waqf land certification and innovation of waqf land development projects. Then, the long-term strategic priority is optimising the community’s role in the empowerment of waqf land. Research limitations/implications The development of the ANP model would give the institutions a modest, flexible and convenient approach to evaluate the barriers present in waqf land. However, ANP requires greater effort because it is a highly complex methodology that compels a study to use more numerical calculations in assessing composite priorities. Originality/value Not many studies on waqf land issues in Indonesia have been discussed empirically. Most of these studies are in the form of descriptive studies. This study introduces the ANP approach to illustrate the main problems of waqf land empowerment in Indonesia. ANP is a new approach to the decision-making process through a process that produces a general framework for treating decisions without making assumptions regarding independence between elements.

Data Analysis for microRNA and Related Diagnoses

MicroRNAs are non-coding molecules that play a significant role in the development of the disease. MicroRNAs can act as biomarkers or independently lead to the development of a disease. Due to the large numbers of microRNAs, most of the current works focus on the creation of a new way of microRNA clustering or grouping. Today, there are a huge number of different databases that distribute open microRNAs into groups. The problem is that there is no way to evaluate such databases and created clusters. In this work, we propose a new method for assessing the distribution of microRNAs in a cluster, which in the future can be used to predict new sequential ones capable of causing disease. The proposed method can also be used for a better understanding of the mechanisms of various diseases. Since cardiovascular diseases rank first in terms of the number of deaths, they were chosen as the analyzed ones. The Human microRNA Disease Database was used as an analyzed database in this work. The obtained results show that the proposed method can analyze the created databases and can be used in further practice. The proposed model makes it possible to predict new microRNAs for given diagnoses.

Testing Smart Grid Scenarios with Small Volume Testbed and Flexible Power Inverter

The growing penetration of Renewable Energy Sources (RES) due to the transition to future smart grid requires a huge number of power converters that participate in the power flow. Each of these devices needs the use of a complex control and communication system, thus a platform for testing real-life scenarios is necessary. Several test techniques have been so far proposed that are subject to a trade-off between cost, test coverage, and test fidelity. This paper presents an approach for testing microgrids, by developing an emulator, with emphasis on the micro-inverter unit and the possibility of flexible configuration for different grid topologies. In contrast to other approaches, our testbed is characterized by small volume and significantly scaled-down voltages for safety purposes. The examination is concentrated specifically on the inverter behavior. The test scenarios include behaviors in case of load changes, transition between grid-tied and islanded mode, connection and removal of subsequent inverters, and prioritization of inverters.

An prediction of Healthy Diet required to Ease the recovery from Covid-19 using the approach of Machine Learning.

Global terror that has shaken the world named, COVID-19 virus has taken away huge number of lives. According to the research there are lot of recovery cases also. Most important thing to survive from this disease is having good immunity. Everyone does not have same level of immunity. One main factor on which immunity depends is having a healthy diet. If the routine of having healthy diet is maintained, then the immunity to fight against this virus increases. It is much required that people need to be informed about having an healthy diet. Using the dataset of healthy dietary and using various machine learning algorithms we can determine what type of diet one person needs to have. By using algorithms like Random Forest, KNN, logistic regression and Support Vector Machines we can determine the type of diet and probability of recovery. The dataset required for analysis needs to have all the information regarding the diet. Based on the dataset the prediction is taken place by using Decision Tree algorithm. This method of finding the appropriate diet of a particular person based on amount of Sugar level, Blood Pressure and BMI can be the most useful research in this pandemic time.

ROLE OF BIOMARKERS IN EPILEPTOGENESIS: A CONCISE REVIEW

Epilepsy is a gathering of ongoing neurological problems described by intermittent, unconstrained, and unusual seizures. It is one of the most widely recognized neurological messes, influencing a huge number of individuals around the world. A biomarker is characterized as a dispassionately estimated normal for an ordinary or obsessive natural interaction. Recognizable proof and legitimate approval of biomarkers of epileptogenesis, the improvement of epilepsy, and ictogenesis, the affinity to create unconstrained seizures, may foresee the improvement of an epilepsy condition; recognize the presence and seriousness of tissue equipped for producing unconstrained seizures; measure movement after the condition is set up; furthermore, decide pharmacoresistant. Such biomarkers could be utilized to make creature models for more savvy screening of potential antiepileptogenic and antiseizure medications and gadgets and to lessen the expense of clinical preliminaries by enhancing the preliminary populace and going about as proxy markers to abbreviate the preliminary span. The destinations of the biomarker subgroup for the London Studio were to characterize approaches for distinguishing conceivable biomarkers for these reasons. Examination to recognize dependable biomarkers may likewise uncover basic instruments that could serve as helpful focuses for the improvement of new antiepileptogenic and antiseizure compounds.

Comparison of various machine learning approaches uses in heart ailments prediction

Heart disease has been the leading cause of a huge number of deaths in recent years. As a result, an accurate and feasible system is required to diagnose this disease early to provide better treatment. Advances in machine learning have the potential to enhance healthcare access. Given the importance of a crucial organ like the heart, medical professionals and physicians have made it a priority to forecast heart failure-related events in clinical practice, nevertheless, forecasting heart failure-related events in clinical practice has generally failed to achieve high accuracy. The objective here is to demonstrate how machine learning may be used to solve the problem. By analyzing hundreds of healthcare data and other semantics, machine learning algorithms can analyze related cases with diseases and health conditions. Here a demonstration of how to load the data, generate predictions through different models from patient data is shown. The metrics are then compared for a better understanding of their function and what impact can be inferred from them.

Al-Qāḍī ʻIyāḍ and His Method in Studying the Noble Hadith: “A Book with Bughyah Al-Ra’id Lima Tadammanahu Hadith Ummi Zar’ min al-Fawa’id The Pioneer Endeavour for Benefits in Ummi Zar’s Report”: As an Example

Al-Qāḍī ʻIyāḍ’s explanation of the hadith of Ummi Zara’ is considered one of the most authentic explanations and was approved by the early and later scholars. The aim of this research is to clarify the method employed by Al-Qāḍī ʻIyāḍ in the study of the noble hadith through his explanation “Bughyah al-Ra’id Lima Tadammanahu Hadith Ummi Zar’ min al-Fawa’id”. The researcher relied on the inductive approach in introducing Al-Qāḍī ʻIyāḍ and his efforts in this explanation, and the analytical approach in order to highlight Al-Qāḍī ʻIyāḍ’s innovative methodology, which distinguished this explanation from others. The research concluded that Al-Qāḍī ʻIyāḍ established the rules of a new approach in dealing with the religious text, based on comprehensiveness and integration, which explains his extraction of a huge number of jurisprudential and Arabic issues, with unique investigations and wonderful references.

Employing Graph Theory on Social Networks by Data Encryption to Enhance Privacy

Now a day’s users of Online Social Network have been increased by the Internet usage. As huge number of online social Network users, it becomes more and more interactive and privacy becomes a matter of increasing concern. To solve this problem, graph structure, Proposed Algorithm, Encryption Algorithm used, which excludes the users which combine the information of the status of privacy users. By using these methods, the experiment can be done which helps to show how the server works in between the sender and receiver and to receive their information without knowing third parties. And it would be easier by using graph that shows it can be efficiently helps the users to improve their privacy disclosure. Keywords: Graph theory, social network, Privacy, Data Encryption, end to end encryption, Encryption Algorithm.

Performing schools and tutorial methods in the epic art of bagshy-dessanchy

Искусство туркменских бахши-дестанчи имеет древние истоки и отличается жанровым богатством и стилевым разнообразием. Эпическое наследие туркмен в достаточной степени изучено филологами, этнографами, однако специальных исследований, раскрывающих природу сохранения изустной традиции и описывающих методы передачи эпических жанров из поколения в поколение в Туркменистане, до сих пор нет. Цель статьи – описать бытующие школы эпического сказительства, выявить их жанровые, исполнительские особенности, сохранившиеся в искусстве бахши-дестанчи традиции наставничества, а также охарактеризовать методы, позволяющие сказителям хранить в памяти огромное количество эпических песен и текстов. Для решения намеченных целей были осуществлены следующие задачи: проанализированы эпические жанры различных локальных школ; проведен сравнительный анализ исполнения эпоса одним и тем же сказителем в различные периоды времени, а также наставника и его учеников; определены факторы, влияющие на изменение дестанов. В качестве методологической базы использованы труды А. Лорда, В. В. Бартольда, В. М. Жирмунского, В. Я. Проппа, Е. Э. Бертельса, Б. Н. Путилова, К. Райхла. Источниками для анализа послужили образцы эпического наследия из аудио фонда Туркменской национальной консерватории, а также полевые аудио/видео материалы из личного архива авторов. Впервые в статье в качестве жанров эпических сказителей рассматриваются не только традиционные эпосы и дестаны, но и жанр легенды с музыкой, а также излюбленные в народе музыкально-поэтические транскрипции произведений поэтов-классиков. Проведенные исследования позволили выявить формообразующую роль песен и их функции, осуществляющие развитие музыкальной драматургии в дестанах. Впервые в работе выявлены «песни-маяки», составляющие каркас эпического сказания и способствующие запоминанию повествования в памяти народных сказителей. Незакреплённость песенных мотивов к текстам, а также использование в песнях мелодий-тем (музыкальных напевов, характерных для конкретных локальных школ) определяет особенности туркменского дестанного исполнительства. Учитывая тенденцию к ослабеванию интереса молодого поколения к древней традиции, изучение методов преемственности, используемых в процессе сохранения традиции устного наследия, представляется своевременным и актуальным. The art of Turkmen bagshy-dessanchy (epictellers) is ancient and distinguished by its genre richness and stylistic diversity. The epic heritage of Turkmens has been sufficiently studied by philologists and ethnographers, but there are no special studies in Turkmenistan revealing the nature of the oral tradition preservation and the methods of transmitting epic genres from generation to generation. The purpose of the article was to reveal the genre and performing features of the schools of epic epic-telling in Turkmenistan, describe the traditions of mentoring that have survived in the art of bagshy-dessanchy, and identify methods that allow Turkmen storytellers to keep in memory a huge number of songs and texts. To solve these goals, the following tasks were carried out: the epic legends of various local schools were analyzed; a comparative analysis of the performance of the epic by the same narrator in different periods of time was carried out; revealed differences in the performance of the same legend by the mentor and his students; the factors and means influencing the change of destans have been determined. The works of A. Lord, V. Barthold, V. Zhirmunsky, V. Propp, E. Bertels, B. Putilov, K. Reichl were used in the article as a methodological base. The sources for the analysis were samples of the epic heritage from the Fund of audio materials of the Turkmen National Conservatory, as well as field audio-, videomaterials from the authors’ personal archives. In the article, for the first time, not only epic cycles and destans, but also the genre of legend with music, as well as poetic transcriptions of the classical poet’s works were considered as the main genres of bagshy-destanchy. The studies helped to identify the formative role of epic songs and their important functions, thanks to which the development of the musical dramaturgy in epic genres was carried out. For the first time, we identified the beacon songs, that make up the frame of Turkmen epic works, thanks to which the epic text remembering in the memory of bagshy-dessanchy. The looseness of song motifs with texts, using the theme-melodies (musical tunes, which characteristic of specific local schools) in epic songs showed the particularities of Turkmen destan performance. Taking into account the tendency towards a gradual weakening of the interest of the younger generation in the ancient tradition, the identification of the methods used in the process of preserving the oral epic heritage is highly relevant.