scholarly journals Pengaturan Dinamis Tata Letak Denah Upacara Wisuda Universitas Surabaya

2020 ◽  
Vol 1 (2) ◽  
pp. 100-110
Author(s):  
Felix Handani ◽  
Jordan Valentino Lomanto
Keyword(s):  
Data Storage ◽  
Preliminary Data ◽  
Sequence Data ◽  
Floor Plan ◽  
Graduate Faculty ◽  
Flexible System ◽  
Floor Plans ◽  
Spreadsheet Application

Abstract- Flexibility and Configurability software is important to accommodate a variety of managed data. In the graduation ceremony, the committee needs to arrange the graduation floor plan based on the provisions of each institution. The order of seating is adjusted based on the order of graduation of graduates with provisions agreed to each graduation period, such as the technical dimensions of the room and the order of priority of the predicate. During this time, the spreadsheet application used by the committee was inflexible. If the number of graduates increased or dimension of the blocks and floor plans is changed, the committee cannot flexibly change the plan. The factor of application flexibility and ease of configuration is needed. To support the flexibility of the configuration, the researcher observes the parameters of the sequence and floor plan, designs the database, displays the interface and adapts the activities carried out by humans into the system to automate the process of drawing a digital floor plan. The system requires graduate data, graduate predicate data, graduate faculty data, faculty sequence data, and floor plan data as preliminary data. The implementation of the stack can help the graduation of data storage implementation. With a flexible system, the committee's activities are reduced by 50% and the complexity of the committee's work is not influenced by the amount of graduate data. Adjustments to the layout of digital plans can be done at any time thereby increasing the flexibility of the committee in making decisionsKeywords: configurability, digital floor plan, graduation, stack Abstrak- Perangkat lunak yang dirancang dengan kemudahan konfigurasi dan fleksibilitas sangat diperlukan saat ini untuk mengakomodasi berbagai macam data yang dikelola. Dalam upacara wisuda, panitia perlu mengatur denah duduk wisudawan berdasarkan ketentuan masing-masing institusi. Urutan tempat duduk disesuaikan berdasarkan urutan pemanggilan wisudawan dengan ketentuan yang disepakati setiap periode wisuda, seperti teknis dimensi ruangan dan urutan prioritas predikatnya. Selama ini, aplikasi spreadsheet yang digunakan oleh panitia tidak fleksibel. Apabila jumlah wisudawan bertambah ataupun adanya pengubahan ukuran blok dan denah wisudawan, maka panitia tidak bisa secara fleksibel mengubah denah tersebut. Peran fleksibiltas aplikasi untuk menggambar denah secara digital dan kemudahan konfigurasi dibutuhkan. Untuk mendukung fleksibilitas dari konfigurasi tersebut, peneliti mengobservasi parameter penyusun urutan dan denah, merancang basis data, tampilan antar muka dan mengadaptasi aktivitas yang dilakukan oleh manusia ke dalam sistem untuk mengotomatisasi proses penggambaran denah digital. Sistem memerlukan data wisudawan, data predikat wisudawan, data fakultas wisudawan, data urutan fakultas dan data dimensi denah sebagai data awal. Penerapan struktur data stack membantu dalam mengimplementasi penyimpanan data wisudawan. Dengan sistem yang fleksibel, aktivitas panitia menjadi berkurang 50% dan kompleksitas pengerjaan panitia tidak dipengaruhi oleh jumlah data wisudawan. Penyesuaian susunan denah digital dapat dilakukan sewaktu-waktu sehingga meningkatkan fleksibilitas panitia dalam mengambil keputusan.Kata kunci: denah digital, konfigurabilitas, stack, wisuda  

A System Architecture for Data Storage in the Cloud

2015 ◽  
Vol 3 (2) ◽  
Author(s):  
Maryam Hammami ◽  
Hatem Bellaaj
Keyword(s):  
Data Storage ◽  
System Architecture ◽  
Cloud Storage ◽  
The Other ◽  
Important Data ◽  
Work In Progress ◽  
Flexible System ◽  
Other Hand ◽  
Data Manager ◽  
And Storage

The Cloud storage is the most important issue today. This is due to a rapidly changing needs and a huge mass of varied and important data to back up. In this paper, we describe a work in progress and propose a flexible system architecture for data storage in the Cloud. This system is centered on the Data Manager module. This module provides various functions such as the dispersion of data in fragments, encryption and storage of fragments... etc. This architecture proves to be very relevant. It ensures consistency between different components. On the other hand, it ensures the security and availability of data.

scholarly journals Self-Organising Floor Plans in Care Homes

2020 ◽  
Vol 12 (11) ◽  
pp. 4393
Author(s):  
Silvio Carta ◽  
Stephanie St. Loe ◽  
Tommaso Turchi ◽  
Joel Simon
Keyword(s):  
Genetic Algorithm ◽  
Spatial Configuration ◽  
Care Home ◽  
Building Design ◽  
Design Solution ◽  
Floor Plan ◽  
Home Building ◽  
Spatial Layouts ◽  
Floor Plans ◽  
Behaviour Models

This paper presents and discusses an optimisation approach applied to spatial layouts in care home building design. With this study, we introduce a method for increasing the floor plan efficiency using a self-organising genetic algorithm, thus reducing energy consumption, improving the wellbeing of residents and having an implicit impact on the costs of energy and health care. In order to find an optimal spatial configuration, we elaborated and tested a number of design criteria based on existing literature reviews and interpreted through initial considerations of care home layouts. These are used as objectives in a Genetic Algorithm (GA) to evaluate the best design solution. The self-organised floor plan is then used to run a final simulation to observe how residents could use the optimised spaces and to measure the improved efficiency of the new plans. The paper concludes with the discussion of the results and some considerations for future studies and experiments using emergence behaviour models to improve sustainable development in design.

An areal openness model (AOM) for quantifying the “openness” of floor plans

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zoraya Roldán Rockow ◽  
Brandon E. Ross
Keyword(s):  
Real World ◽  
Design Methodology ◽  
Floor Plan ◽  
Existing Buildings ◽  
Content Type ◽  
Alternative Plan ◽  
Proposed Model ◽  
Reasonable Approach ◽  
Floor Plans

PurposeThis paper aims to describe and demonstrate a quantitative areal openness model (AOM) for measuring the openness of floor plans. Creation of the model was motivated by the widely reported but rarely quantified link between openness and adaptability.Design/methodology/approachThe model calculates values for three indicators: openness score (OS), weighted OS (WOS) and openness potential (OP). OS measures the absence of obstructions (walls, chases, columns) that separate areas in a floor plan. WOS measures the number of obstructions while also accounting for the difficulty of removing them. OP measures the potential of a floor plan to become more open. Indicators were calculated for three demolished case study buildings and for three adapted buildings. The case study buildings were selected because openness – or lack thereof – contributed to the owners' decisions to demolish or adapt.FindingsOpenness indicators were consistent with the real-world outcomes (adaptation or demolition) of the case study buildings. This encouraging result suggests that the proposed model is a reasonable approach for comparing the openness of floor plans and evaluating them for possible adaptation or demolition.Originality/valueThe AOM is presented as a tool for facility managers to evaluate inventories of existing buildings, designers to compare alternative plan layouts and researchers to measure openness of case studies. It is intended to be sufficiently complex as to produce meaningful results, relatively simple to apply and readily modifiable to suit different situations. The model is the first to calculate floor plan openness within the context of adaptability.

Introduction to generic rectangular floor plans

2018 ◽  
Vol 32 (3) ◽  
pp. 331-350
Author(s):  
Krishnendra Shekhawat ◽  
José P. Duarte
Keyword(s):  
Theoretical Approach ◽  
Mathematical Theory ◽  
Architectural Design ◽  
Important Task ◽  
Floor Plan ◽  
Design Processes ◽  
Topological Constraints ◽  
Graph Theoretical Approach ◽  
Floor Plans

AbstractAn important task in the initial stages of most architectural design processes is the design of planar floor plans, that are composed of non-overlapping rooms divided from each other by walls while satisfying given topological and dimensional constraints. The work described in this paper is part of a larger research aimed at developing the mathematical theory for examining the feasibility of given topological constraints and providing a generic floor plan solution for all possible design briefs.In this paper, we mathematically describe universal (or generic) rectangular floor plans with n rooms, that is, the floor plans that topologically contain all possible rectangular floor plans with n rooms. Then, we present a graph-theoretical approach for enumerating generic rectangular floor plans upto nine rooms. At the end, we demonstrate the transformation of generic floor plans into a floor plan corresponding to a given graph.

Presenting Spatial Information on a Mobile Device: Differences in Workload and Performance

2007 ◽  
Vol 51 (4) ◽  
pp. 353-357
Author(s):  
Jim Nixon ◽  
Sarah Sharples ◽  
Mike Jackson
Keyword(s):  
Mobile Device ◽  
Spatial Information ◽  
Personal Digital Assistant ◽  
Floor Plan ◽  
Mental Demand ◽  
Shortest Route ◽  
Navigation Support ◽  
Floor Plans ◽  
And Performance ◽  
Completion Times

An experiment was conducted to study differences in workload and performance of participants when navigating a route. Participants used a mobile device to navigate a route in a building. Different types of representation were used: a paper floor plan and three representations presented on a personal digital assistant (PDA). In the PDA based conditions, an overview of the floor plan was presented in a picture viewer. Since the plan was much larger than the PDA screen, participants moved different parts of the plan into view using a stylus. Floor plans were also presented as a sequence of plan fragments on the PDA which were advanced by the user according to location. Results show significantly shorter route completion times for participants using the paper plan compared with the PDA support. Significant differences in workload, effort and mental demand were also found between the types of representation. The paper plan condition elicited the lowest levels of workload and the shortest route completion times. Implications for the design of location-based navigation support are discussed.

scholarly journals The Widening Gulf between Genomics Data Generation and Consumption: A Practical Guide to Big Data Transfer Technology

2015 ◽  
Vol 9s1 ◽  
pp. BBI.S28988 ◽  
Author(s):  
Frank A. Feltus ◽  
Joseph R. Breen ◽  
Juan Deng ◽  
Ryan S. Izard ◽  
Christopher A. Konger ◽  
...  
Keyword(s):  
Big Data ◽  
Data Processing ◽  
Data Storage ◽  
Data Transfer ◽  
Sequence Data ◽  
Disruptive Technology ◽  
Data Generation ◽  
Key Aspects ◽  
Data Flow Control ◽  
Time Frames

In the last decade, high-throughput DNA sequencing has become a disruptive technology and pushed the life sciences into a distributed ecosystem of sequence data producers and consumers. Given the power of genomics and declining sequencing costs, biology is an emerging “Big Data” discipline that will soon enter the exabyte data range when all subdisciplines are combined. These datasets must be transferred across commercial and research networks in creative ways since sending data without thought can have serious consequences on data processing time frames. Thus, it is imperative that biologists, bioinformaticians, and information technology engineers recalibrate data processing paradigms to fit this emerging reality. This review attempts to provide a snapshot of Big Data transfer across networks, which is often overlooked by many biologists. Specifically, we discuss four key areas: 1) data transfer networks, protocols, and applications; 2) data transfer security including encryption, access, firewalls, and the Science DMZ; 3) data flow control with software-defined networking; and 4) data storage, staging, archiving and access. A primary intention of this article is to orient the biologist in key aspects of the data transfer process in order to frame their genomics-oriented needs to enterprise IT professionals.

scholarly journals A Method to Incorporate Floor Plan Constraints into Indoor Location Tracking: A Voronoi Approach

2018 ◽  
Vol 2018 ◽  
pp. 1-11
Author(s):  
John D. Hobby ◽  
Marzieh Dashti
Keyword(s):  
Indoor Localization ◽  
Research Effort ◽  
Location Tracking ◽  
Floor Plan ◽  
Location Based Service ◽  
Indoor Location ◽  
Filtering Algorithm ◽  
Localization Algorithms ◽  
Specific Localization ◽  
Floor Plans

Indoor localization has attracted a lot of research effort in recent years due to the explosion of indoor location-based service (LBS) applications. Incorporating map constraints into localization algorithms reduces the uncertainty of walking trajectories and enhances location accuracy. Suitable maps for computer-aided localization algorithms are not readily available, and hence most researchers working on localization solutions manually create maps for their specific localization scenarios. This paper presents a method of generating indoor maps suitable for localization algorithms from CAD floor plans. Our solution is scalable for mass-market LBS deployment. We also propose an adapted map-filtering algorithm that utilizes map information extracted from CAD floor plans. We evaluate the performance of our solution via real-world Wi-Fi RF measurements.

scholarly journals Towards Robust Object Detection in Floor Plan Images: A Data Augmentation Approach

2021 ◽  
Vol 11 (23) ◽  
pp. 11174
Author(s):  
Shashank Mishra ◽  
Khurram Azeem Hashmi ◽  
Alain Pagani ◽  
Marcus Liwicki ◽  
Didier Stricker ◽  
...  
Keyword(s):  
Computer Vision ◽  
Object Detection ◽  
Data Augmentation ◽  
State Of The Art ◽  
Floor Plan ◽  
Previous State ◽  
Floor Plans ◽  
Better Than

Object detection is one of the most critical tasks in the field of Computer vision. This task comprises identifying and localizing an object in the image. Architectural floor plans represent the layout of buildings and apartments. The floor plans consist of walls, windows, stairs, and other furniture objects. While recognizing floor plan objects is straightforward for humans, automatically processing floor plans and recognizing objects is challenging. In this work, we investigate the performance of the recently introduced Cascade Mask R-CNN network to solve object detection in floor plan images. Furthermore, we experimentally establish that deformable convolution works better than conventional convolutions in the proposed framework. Prior datasets for object detection in floor plan images are either publicly unavailable or contain few samples. We introduce SFPI, a novel synthetic floor plan dataset consisting of 10,000 images to address this issue. Our proposed method conveniently exceeds the previous state-of-the-art results on the SESYD dataset with an mAP of 98.1%. Moreover, it sets impressive baseline results on our novel SFPI dataset with an mAP of 99.8%. We believe that introducing the modern dataset enables the researcher to enhance the research in this domain.

scholarly journals Towards Robust Object detection in Floor Plan Images: A Data Augmentation Approach

2021 ◽  
Author(s):  
Shashank Mishra ◽  
Khurram Azeem Hashmi ◽  
Alain Pagani ◽  
Marcus Liwicki ◽  
Didier Stricker ◽  
...  
Keyword(s):  
Object Detection ◽  
Deep Neural Networks ◽  
Data Augmentation ◽  
State Of The Art ◽  
The Novel ◽  
Floor Plan ◽  
Previous State ◽  
Floor Plans ◽  
Public Datasets ◽  
Better Than

Object detection is one of the most critical tasks in the field of Computer vision. This task comprises identifying and localizing an object in the image. Architectural floor plans represent the layout of buildings and apartments. The floor plans consist of walls, windows, stairs, and other furniture objects. While recognizing floor plan objects is straightforward for humans, automatically processing floor plans and recognizing objects is a challenging problem. In this work, we investigate the performance of the recently introduced Cascade Mask R-CNN network to solve object detection in floor plan images. Furthermore, we experimentally establish that deformable convolution works better than conventional convolutions in the proposed framework. Identifying objects in floor plan images is also challenging due to the variety of floor plans and different objects. We faced a problem in training our network because of the lack of publicly available datasets. Currently, available public datasets do not have enough images to train deep neural networks efficiently. We introduce SFPI, a novel synthetic floor plan dataset consisting of 10000 images to address this issue. Our proposed method conveniently surpasses the previous state-of-the-art results on the SESYD dataset and sets impressive baseline results on the proposed SFPI dataset. The dataset can be downloaded from SFPI Dataset Link. We believe that the novel dataset enables the researcher to enhance the research in this domain further.

Characteristics Analysis of Two-Dimensional Configuration Using Modified Box-Count Method

2005 ◽  
Vol 9 (3) ◽  
pp. 337-342
Author(s):  
Yusuke Sato ◽  
◽  
Kiyoshi Shingu ◽  
Keyword(s):  
Two Dimensional ◽  
Floor Plan ◽  
Modern Times ◽  
Architectural Space ◽  
Count Method ◽  
Characteristics Analysis ◽  
Floor Plans

An architectural floor plan includes elements that determine movement of people within the architectural space and that play an important role in relating people and architecture. Especially since modern times, various shapes that deviate and escape from a floor plan by means of right-angled constitution have arisen and have been used as elements of architecture. Therefore, it is necessary to consider "a floor plan". We propose an index that classifies floor plans from a person's view, analyzing them by the modified box-count method comparing results, and proposing consideration.

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