5,054 research outputs found
RFID Localisation For Internet Of Things Smart Homes: A Survey
The Internet of Things (IoT) enables numerous business opportunities in
fields as diverse as e-health, smart cities, smart homes, among many others.
The IoT incorporates multiple long-range, short-range, and personal area
wireless networks and technologies into the designs of IoT applications.
Localisation in indoor positioning systems plays an important role in the IoT.
Location Based IoT applications range from tracking objects and people in
real-time, assets management, agriculture, assisted monitoring technologies for
healthcare, and smart homes, to name a few. Radio Frequency based systems for
indoor positioning such as Radio Frequency Identification (RFID) is a key
enabler technology for the IoT due to its costeffective, high readability
rates, automatic identification and, importantly, its energy efficiency
characteristic. This paper reviews the state-of-the-art RFID technologies in
IoT Smart Homes applications. It presents several comparable studies of RFID
based projects in smart homes and discusses the applications, techniques,
algorithms, and challenges of adopting RFID technologies in IoT smart home
systems.Comment: 18 pages, 2 figures, 3 table
Antennas and Propagation of Implanted RFIDs for Pervasive Healthcare Applications
© 2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted
components of this work in other works.This post-acceptance version of the paper is essentially complete, but may differ from the official copy of record, which can be found at the following web location (subscription required to access full paper): http://dx.doi.org/10.1109/JPROC.2010.205101
Penilaian kualiti persekitaran dalaman (IEQ) bangunan Akademik Institusi Pengajian Tinggi Awam (IPTA) Malaysia dalam konteks pengurusan fasiliti
Kualiti Persekitaran Dalaman atau Indoor Environmental Quality (IEQ) merupakan
komponen penting dalam konteks bangunan mesra alam yang akan menentukan tahap
kualiti penghuni di dalam sesebuah bangunan. Secara purata dianggarkan 80%
kehidupan seharian manusia adalah berada di dalam bangunan. Ketidakseimbangan IEQ
menyumbang kepada Sindrom Bangunan Sakit (Sick Building Syndrome) sekali gus
memberi kesan kepada produktiviti para penghuni juga kepada struktur bangunan.
Sehubungan itu, kajian ini dilaksanakan untuk mengenal pasti tahap kesedaran pihak
pengurusan harta dan fasiliti di Institusi Pengajian Tinggi Awam (IPTA) terhadap IEQ
dalam konteks bangunan akademik. Kajian ini juga bertujuan untuk mengukur tahap
IEQ dan tahap kepuasan pengguna dalam bangunan akademik di IPTA. Kajian ini
melibatkan bangunan akademik di 20 IPTA di Malaysia. Metodologi kajian ini
menggunakan pendekatan kualitatif, kajian saintifik dan juga pendekatan secara
kuantitatif. Pendekatan Kualitatif digunakan bagi menilai tahap kesedaran pihak
pengurusan harta dan fasiliti IPTA melalui proses temubual yang melibatkan 20 orang
responden. Manakala pendekatan kedua adalah melalui kajian saintifik ke atas bangunan
akademik yang memfokuskan kepada pengukuran elemen keselesaan terma, keselesaan
bunyi, kualiti udara dalaman dan pencahayaan. Hasil pengukuran elemen tersebut
dibandingkan dengan piawaian dari Malaysia Standard (MS 1525;2007) dan UNESCO.
Bagi setiap IPTA, lima buah bilik kuliah dijadikan sampel dengan tiga kali bacaan setiap
hari selama dua hari diperolehi bagi mendapatkan bacaan purata. Seterusnya, melalui
pendekatan kuantitatif, data yang diperolehi melalui kaji selidik melibatkan 500
responden dan dianalisis menggunakan perisian Statistical Package for Social Science
(SPSS). Hasil kajian menunjukkan kesedaran para pengurus harta dan fasililti di IPTA
terhadap IEQ adalah baik tetapi masih ada beberapa kelemahan yang perlu
ditambahbaik. Hasil ujian saintifik yang diperolehi menunjukkan bacaan bagi suhu
dalaman, hanya UniSZA, UTHM dan UniMAS yang menepati piawaian, manakala bagi
pencahayaan, UM, UIAM, UPSI, USM, UniSZA, UTM, UTHM, UTeM, UMS dan
UniMAS berada di bawah tahap piawaian ditetapkan. Bagi keamatan bunyi, hanya UM,
UPM, UPSI, USM dan UniMAP yang menunjukkan bacaan pada piawaian ditetapkan.
Keseluruhannya menunjukkan bacaan berada pada tahap yang sederhana dan masih lagi
memerlukan pernambahbaikan. Kajian ini turut mempamerkan bacaan purata bagi setiap
elemen IEQ bagi bangunan akademik seluruh IPTA. Penemuan hasil kajian ini dijangka
dapat membantu pihak pengurusan harta dan fasiliti IPTA dalam usaha menambahbaik
tahap IEQ dalam bangunan akademik di kampus universiti sekaligus dapat
meningkatkan tahap pengurusan fasiliti dalam mencapai tahap kelestarian kampus IPTA
di Malaysia
Single cell analysis of neutrophils NETs by Microscopic LSPR imaging system
A simple microengraving cell monitoring method for neutrophil extracellular traps
(NETs) released from single neutrophils has been realized using a polydimethylsiloxane (PDMS)
microwell array (MWA) sheet on a plasmon chip platform. An imbalance between NETs formation
and the succeeding degradation (NETosis) are considered associated with autoimmune disease and
its pathogenesis. Thus, an alternative platform that can conduct monitoring of this activity on single
cell level at minimum cost but with great sensitivity is greatly desired. The developed MWA
plasmon chips allow single cell isolation of neutrophils from 150 μL suspension (6.0 × 105 cells/mL)
with an efficiency of 36.3%; 105 microwells with single cell condition. To demonstrate the utility of
the chip, trapped cells were incubated between 2 to 4 h after introducing with 100 nM phorbol 12-
myristate 13-acetate (PMA) before measurement. Under observation using a hyperspectral imaging
system that allows high-throughput screening, the neutrophils stimulated by PMA solution show a
significant release of fibrils and NETs after 4 h, with observed maximum areas between 314–758
μm2. An average absorption peak wavelength shows a redshift of Δλ = 1.5 nm as neutrophils release
NETs
Traceability system for capturing, processing and providing consumer-relevant information about wood products: System solution and its economic feasibility
Current research and practice reports indicate the existence of purchase barriers concerning eco-friendly products, e.g. wood products. These can be ascribed to consumers' mistrust regarding the non-observable environmental impact of wood products. To counter the mistrust, wood products are commonly endowed with eco-labels, which may be perceived mostly as a marketing tool, therefore not fulfilling their intended purpose. Current studies have shown that providing consumers with wood product information based on traceability systems increases product trust and purchase intentions, with those information items most valued by consumers being identified as well. Based on this, the paper proposes a traceability information system for the capturing, processing, and provision of product information using examples of wood furniture. Furthermore, a cost-benefit model for the proposed solution is developed. The calculations indicate the possibility of implementing traceability at the item level based on a four-layer system architecture enabling the capture and delivery of all information valued by consumers at acceptable costs. The proposed system helps to overcome purchase barriers of eco-friendly products, increasing consumers' product trust and purchase intentions
Proximal business intelligence on the semantic web
This is the post-print version of this article. The official version can be accessed from the link below - Copyright @ 2010 Springer.Ubiquitous information systems (UBIS) extend current Information System thinking to explicitly differentiate technology between devices and software components with relation to people and process. Adapting business data and management information to support specific user actions in context is an ongoing topic of research. Approaches typically focus on providing mechanisms to
improve specific information access and transcoding but not on how the information
can be accessed in a mobile, dynamic and ad-hoc manner. Although web ontology has been used to facilitate the loading of data warehouses, less research has been carried out on ontology based mobile reporting. This paper explores how business data can be modeled and accessed using the web ontology
language and then re-used to provide the invisibility of pervasive access; uncovering
more effective architectural models for adaptive information system strategies of this type. This exploratory work is guided in part by a vision of business intelligence that is highly distributed, mobile and fluid, adapting to sensory understanding of the underlying environment in which it operates. A proof-of concept mobile and ambient data access architecture is developed in order to further test the viability of such an approach. The paper concludes with an ontology engineering framework for systems of this type – named UBIS-ONTO
When Things Matter: A Data-Centric View of the Internet of Things
With the recent advances in radio-frequency identification (RFID), low-cost
wireless sensor devices, and Web technologies, the Internet of Things (IoT)
approach has gained momentum in connecting everyday objects to the Internet and
facilitating machine-to-human and machine-to-machine communication with the
physical world. While IoT offers the capability to connect and integrate both
digital and physical entities, enabling a whole new class of applications and
services, several significant challenges need to be addressed before these
applications and services can be fully realized. A fundamental challenge
centers around managing IoT data, typically produced in dynamic and volatile
environments, which is not only extremely large in scale and volume, but also
noisy, and continuous. This article surveys the main techniques and
state-of-the-art research efforts in IoT from data-centric perspectives,
including data stream processing, data storage models, complex event
processing, and searching in IoT. Open research issues for IoT data management
are also discussed
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