Non-Negative Discriminative Data Analytics

Due to advancements in data acquisition techniques, collecting datasets representing samples from multi-views has become more common recently (Jia et al. 2019). For instance, in genomics, a lymphoma patient’s dataset may include data on gene expression, single nucleotide polymorphism (SNP), and array Comparative genomic hybridization (aCGH) measurements. Learning from multiple views about the same objective, in general, obtains a better understanding of the hidden patterns of the data compared to learning from a single view data. Most of the existing multi-view learning techniques such as canonical correlation analysis (Hotelling et al. 1936) and multi-view support vector machine (Farquhar et al. 2006), multiple kernel learning (Zhang et al. 2016) are focused on extracting the shared information among multiple datasets. However, in some real-world applications, it’s appealing to extract the discriminative knowledge of multiple datasets, namely discriminative data analytics. For example, consider the one dataset as gene-expression measurements of cancer patients, and the other dataset as the gene-expression levels of healthy volunteers and the goal is to cluster cancer patients according to the molecular sub-types. Performing a single view analysis such as principal component analysis (PCA) on any of the dataset yields information related to the common knowledge between the two datasets (Garte et al. 1996). Addressing such challenge, contrastive PCA (Abid et al. 2017) and discriminative (d) PCA in (Jia et al. 2019) are proposed in to extract one dataset-specific information often missed by PCA. Inspired by dPCA, we propose a novel discriminative multi-view learning algorithm, namely Non-negative Discriminative Analysis (DNA), to extract the unique information of one dataset (a.k.a. view) with respect to the other dataset. This boils down to solving a non-negative matrix factorization problem. Furthermore, we apply the proposed DNA framework in various real-world down-stream machine learning applications such as feature selections, dimensionality reduction, classification, and clustering

PENGARUH AKTIVITAS INDUSTRI TERHADAP PENINGKATAN EKONOMI PENDUDUK DAN PERKEMBANGAN PERDAGANGAN JASA DI KOTA BATAM

Negara berkembang, khususnya Indonesia, terdapat beberapa daerah pesisir yang dimanfaatkan untuk membangun kegiatan-kegiatan industri dengan berbasis industri pengolahan, baik itu padat karya maupun padat modal. Contoh daerah yang menjadi sasaran kawasan industri di wilayah pesisir yang dikembangkan oleh pemerintah adalah Kota Batam. Adanya dukungan pembangunan industri melalui Peraturan Zona Ekonomi Eksklusif di Kota Batam menjadi sebuah keleluasaan untuk mengembangkan sektor unggulan ini untuk meningkatkan nilai ekonomi dari sektor tersebut. Saat ini, kegiatan industri pengolahan merupakan leading sektor di Kota Batam. Tentunya dengan adanya pengembangan aktivitas industri, maka akan membuat orientasi pekerjaan mengarah ke bidang industri dan hal ini akan meningkatkan pendapatan ekonomi penduduk. Saat ini, dengan pertumbuhan ekonomi yang didominasi oleh kegiatan industri, Kota Batam berkembang menjadi lebih cepat dalam hal perekonomian dibandingkan dengan kota/kabupaten lain di Provinsi Kepulauan Riau. Dampak lain dari kegiatan industri adalah adanya local multiplier effect yang berupa perkembangan perdagangan dan jasa disekitar kawasan industri sebagai kegiatan yang mendukung kegiatan para pekerja, yaitu ruko-ruko dan unit kios serta warung. Sehubungan dengan adanya aktivitas industri tersebut,akan dilihat apakah ada pengaruh dari aktivitas industri terhadap peningkatan ekonomi penduduk dan perkembangan perdagangan dan jasa disekitar kawasan industri, dengan adanya penelitian ini, maka tujuannya untuk menganalisis pengaruh aktivitas industri terhadap peningkatan ekonomi penduduk dan melihat perkembangan perdagangan jasa disekitar kawasan industri sebagai akibat adanya aktivitas industri tersebut

An entire function sharing fixed points with its linear differential polynomial

We study the uniqueness of entire functions, when they share a linear polynomial, in particular, fixed points, with their linear differential polynomials

Uniqueness of an entire function sharing fixed points with its derivatives

The uniqueness problems of an entire functions that share a nonzero finite value have been studied and many results on this topic have been obtained. In this paper we prove a uniqueness theorem for an entire function, which share a linear polynomial, in particular fixed points, with its higher order derivatives

Uniqueness of an entire function sharing a polynomial with its linear differential polynomial

In this paper we consider an entire function when it shares a polynomial with its linear differential polynomial. Our result is an improvement of a result of P. Li

Energy Efficient Green Building Based on Geo Cooling System in Sustainable Construction of Malaysia

This paper is focused to utilize geo energy in cooling of building in tropical country like Malaysia where temperature rises in daytime and goes beyond to a comfortable limit. In daytime inside temperature of the room is considered to be reduced by adding thermal conductivity media inside the room elements such as walls through its connectivity to the underground where temperature is less than the ambient room temperature. Due to the ground connectivity of thermal conductivity media a flow of heat creates from the room to the ground and tries to produce a thermal balance between these two medias and therefore, room temperature drops to a temperature close to the underground soil temperature. Aluminium pipes are considered as high thermal conductivity material. The entire study is done numerically using ANSYS 11 finite element software to determine the role of underground soil and thermal conductivity pipes. In numerical investigation heat flow between two systems (building rooms equipped with thermal conductivity pipe and underground soil) is studied and the performance of the conductivity materials is examined. The room temperature in the presence of thermal conductivity media as well as mechanical cooling system is also investigated in this study. It is seen that high thermal conductivity media plays a role in transferring heat from room to the ground and makes cooling of the building effectively. It acts also effectively when it uses with other mechanical cooling system of building

CONSCIOUS USE OF CODE-SWITCHING TO IMPROVE FLUENCY IN SPOKEN ENGLISH OF BANGLADESHI STUDENTS

Purpose: Present-day English language teaching in Bangladesh, despite adopting Communicative Language Teaching (CLT), focuses more on accuracy (i.e. grammar) than fluency which is proved as a weak strategy. Fluency acquisition in speaking includes pronunciation, but focusing on pronunciation first, slows down the process of becoming a fluent speaker. Methodology: As code-switching exists at the tertiary level in Bangladesh and because of the tremendous fascination of Bangladeshi students towards Bengali, code-switching can be utilized as a tool to improve fluency in spoken English. Thus, this research proposes an alternative to existing approaches. Result: Once desired fluency is achieved; grammar and pronunciation will be emphasized respectively to attain proper speaking skills. The success of this process can be studied in three phases. In the first phase, it examines whether allowing code-switching while speaking English helps Bengali students achieve fluency or not. Applications: This research can be used for universities, teachers, and students. Novelty/Originality: In this research, the model of the Conscious Use of Code-Switching to Improve Fluency in Spoken English of Bangladeshi Students is presented in a comprehensive and complete manner

Fractal Sobolev systems of functions associated with orthonormal systems of functions

This paper introduces the α-fractal Sobolev system of functions corresponding to Sobolev orthonormal system of functions. An approximation-related result similar to Weierstrass theorem is derived. It is shown that the set of α-fractal versions of Sobolev sums is dense and complete in the weighted Sobolev space Wr,2ρ(I). A Schauder basis and a Riesz basis of fractal type for the space Wr,2ρ(I) are found. The Fourier–Sobolev expansion of an α-fractal function fα corresponding to a certain set of interpolation points is presented. Moreover, some results on convergence of Fourier–Sobolev expansion of fα with respect to uniform norm and Sobolev norm are established

Behaviour of ferrocement encased square reinforced concrete column under eccentric loading

This paper investigates the behaviour of ferrocement encased square reinforced concrete (RC) columns subjected to monotonically increasing small eccentric load. Three different types of square jacketing techniques have been studied experimentally to find out the effectiveness of ferrocement confinement of RC columns against eccentric loading. Six scaled down ferrocement jacketed specimens (two from each group) and two non jacketed scaled down specimens (square RC columns) were tested for this purpose. The results obtained from this study show that the benchmark specimens (column without ferrocement encasement) fail with non-ductile mode of failure when the load reaches to its peak value. However, in case of jacketed specimens load carrying capacity and ductility performance are obtained to be more than those obtained from benchmark specimen