QuateXelero : an accelerated exact network motif detection algorithm

Finding motifs in biological, social, technological, and other types of networks has become a widespread method to gain more knowledge about these networks’ structure and function. However, this task is very computationally demanding, because it is highly associated with the graph isomorphism which is an NP problem (not known to belong to P or NP-complete subsets yet). Accordingly, this research is endeavoring to decrease the need to call NAUTY isomorphism detection method, which is the most time-consuming step in many existing algorithms. The work provides an extremely fast motif detection algorithm called QuateXelero, which has a Quaternary Tree data structure in the heart. The proposed algorithm is based on the well-known ESU (FANMOD) motif detection algorithm. The results of experiments on some standard model networks approve the overal superiority of the proposed algorithm, namely QuateXelero, compared with two of the fastest existing algorithms, G-Tries and Kavosh. QuateXelero is especially fastest in constructing the central data structure of the algorithm from scratch based on the input network

The evolution of business analytics : based on case study research

While business analytics is becoming more significant and widely used by companies from increasing industries, for many the concept remains a complex illusion. The field of business analytics is considerably generic and fragmented, leaving managers confused and ultimately inhibited to make valuable decisions. This paper presents an evolutionary depiction of business analytics, using real-world case studies to illustrate a distinct overview that describes where the phenomenon was derived from, where it currently stands, and where it is heading towards. This paper provides eight case studies, representing three different eras: yesterday (1950s to 1990s), today (2000s to 2020s), and tomorrow (2030s to 2050s). Through cross-case analysis we have identified concluding patterns that lay as foundation for the discussion on future development within business analytics. We argue based on our findings that automatization of business processes will most likely continue to increase. AI is expanding in numerous areas, each specializing in a complex task, previously reserved by professionals. However, patterns show that new occupations linked to artificial intelligence will most probably be created. For the training of intelligent systems, data will most likely be requested more than ever. The increasing data will likely cause complications in current data infrastructures, causing the need for stronger networks and systems. The systems will need to process, store, and manage the great amount of various data types in real-time, while maintaining high security. Furthermore, data privacy concerns have become more significant in recent years, although, the case study research indicates that it has not limited corporations access to data. On the contrary, corporations, people, and devices will most likely become even more connected than ever before.nhhma

Ballads in the style of pat metheny a study of four compositions / Saiful Ridzuan Sharafuddin

This work examines the devices found common in the ballad works of the composer, Pat Metheny. Four compositions were analyzed and a comparative study was done with the objective of determining the compositional style or techniques present and common in the ballads. The four compositions are Unity Village, Always and Forever, Never Too Far Away and Letter From Home. A Jazz composition is a complex creation, with a lot of areas of discussion, but the analysis presented will only be consumed with the "fixed" portions of the compositions, which are the composed melody and harmony. A stylistic account is then offered based on the findings to give a better understanding of Pat Metheny's approach to ballads. There is scope for further study on the subject based on wider genres and more works, and the methodology could be modified to fit the objective

Understanding Personal Learning Environment Perspectives of Thai International Tourism and Hospitality Higher Education Students

This paper is part of a periodic research conducted in developing a personal learning environment for Thailand’s higher education students with English as medium of instruction. The objective of the first phase in this research was to understand the personal learning environment perspectives of Thai International tourism and hospitality higher education students. A structured questionnaire of personal, learning and environment perspectives based on various literature reviews and practical applications was constructed and distributed to 111 Bachelor of Business administration students majoring tourism and hospitality management to measure their agreeableness towards elements of PLE. The results revealed that all the three stakeholders, i.e., the student, teacher and the college have control or ownership over the self-learning phases of the students. The students use social media and smart phones to search and find relevant information in various formats such as videos, audios, news, articles from internet and teach each other by giving feedbacks within themselves on completing their assignments during self-learning phases. Keywords: personal learning environment; international tourism and hospitality students; self learning phases; higher education; Thailand

Assessing mangrove deforestation using pixel-based image: a machine learning approach

Mangrove is one of the most productive global forest ecosystems and unique in linking terrestrial and marine environment. This study aims to clarify and understand artificial intelligence (AI) adoption in remote sensing mangrove forests. The performance of machine learning algorithms such as random forest (RF), support vector machine (SVM), decision tree (DT), and object-based nearest neighbors (NN) algorithms were used in this study to automatically classify mangrove forests using orthophotography and applying an object-based approach to examine three features (tree cover loss, above-ground carbon dioxide (CO2) emissions, and above-ground biomass loss). SVM with a radial basis function was used to classify the remainder of the images, resulting in an overall accuracy of 96.83%. Precision and recall reached 93.33 and 96%, respectively. RF performed better than other algorithms where there is no orthophotography.

Elektrik devrelerinde kaotik osilatörlerin analizi

06.03.2018 tarihli ve 30352 sayılı Resmi Gazetede yayımlanan “Yükseköğretim Kanunu İle Bazı Kanun Ve Kanun Hükmünde Kararnamelerde Değişiklik Yapılması Hakkında Kanun” ile 18.06.2018 tarihli “Lisansüstü Tezlerin Elektronik Ortamda Toplanması, Düzenlenmesi ve Erişime Açılmasına İlişkin Yönerge” gereğince tam metin erişime açılmıştır.Anahtar kelimeler: Yeni kaotik chua osilatörü, Vilnius osilatörü, iki diyotlu chuaTezin birinci bölümünde, kaos kelimesinin anlamını, kaos teorisini, chua kaoti

Modeling and Mapping Personal Learning Environment of Thai International Higher Education Students

This research article is part of a periodic study conducted to understand, model, map and to develop an integrated approach for effective and interactive self-learning phases of Thai International Hospitality and Tourism higher education students. Questionnaire containing both qualitative and quantitative questions was distributed at the beginning of the semester to understand the students’ personal learning environment during their self-learning phases. After obtaining mutual agreement with the students, the researcher diffused the course related contents and assignments through observed personal learning environment and the changes that took place in it. Thereafter, the students’ learning experience was measured again by the end of the semester with another quantitative questionnaire. Paired sample t-test and regression analysis were conducted to analyze the outcomes. The results revealed that there was statistically significant difference between the past and the present self-learning phases of personal learning environment on using micro blogging, academic material search engines, group chats, collaborative office suites (Social Networking Tools), Microsoft office suite and other traditional methods such as using teaching learning resources and infrastructure provided by institution (books, handouts, lecture notes and university library). The multiple linear regression results revealed that, the above mentioned self-learning phases of PLE attributes has significant and positive impact on overall learning experience

Modelling database for indoor navigation system / Sharafuddin Mohd Khairuddin

This thesis present the Modelling Database for Indoor Navigation System. The problem for indoor navigation system is the insufficient signal to locating the user by using outdoor locating technologies. The system only rely on the use of identification of nearby Wi-Fi access point. In order to create database for indoor navigation system, two technique were applied for this project and the best technique was chosen for further operation which are localization and navigation in order to create the indoor navigation system. The first technique is Inertia Measurement Units technique (IMU). The system consist of portable unit and fixed unit. Portable unit attached to the user and fixed unit used to monitor the movement of user. The system is equipped with three-dimensional axis by the used of gyroscope, accelerometer and magnetometer to determine the user's movement and sent the data to fixed unit through nearby access point. For fingerprint technique, Wi-Fi access point (AP) is required to create the reference point (RP) using fingerprint technique by collecting the RSSI value for each access point (AP). The method used is gather the data using Wi-Fi fingerprint Apps on smartphone. 22 reference point is created to cover the public corridor at B5-A13 Faculty of Chemical Engineering. The data collected four time in order to get the mean value of signal strength. The signal strength recorded by using Microsoft Excel so the data can be import and process in the MATLAB for localization and navigation purpose. This paper discuss application of fingerprint and IMU technique, and how it can be applied into the system as a database