Understanding the factors that attract travellers to buy tickets online in Saudi Arabia

Despite widespread discussions of online consumer behaviour and the effect of web quality on online user’s actions, there is still a lack of research in the area of consumer attitude towards the services provided by airline companies due to the specific nature of travellers. – being using the internet for different motivations and buying specific kind of product (e-tickets). This study aims to measure consumers’ electronic satisfaction and intention to purchase tickets from Airlines websites. The results provide better understanding on the factors that attract travellers to adopt the most cost effective distribution channel for Airlines (own website) for ticketing needs. To obtain the study objective, a conceptual framework is developed based on literature pertaining to e-consumer behaviour, web quality, and travel and tourism streams. A detective quantitative methodology was chosen to examine the constructs and the relations within the framework. An online survey targeting actual airline online users (travellers) in the Kingdom of Saudi Arabia is suggested with items covering 9 constructs: Information Quality (IQ), System Quality (SQ), Perceived usefulness (PU), Perceived ease of use (PEOU),e-Trust (ET), Airline reputation (AR), Price Perception (PP), e-Satisfaction (ES), and Intention to Purchase (IP). Findings would help decision makers within airline companies to understand their customers’ online behaviour and enable enhancements and modifications to be made to their airline storefront, hence ensuring the satisfaction of potential customers and conversion of visitors into buyers

An Experiment and Detection Scheme for Cavity-based Cold Dark Matter Searches

A resonance detection scheme and some useful ideas for cavity-based searches of light cold dark matter particles (such as axions) are presented, as an effort to aid in the on-going endeavors in this direction as well as for future experiments, especially in possibly developing a table-top experiment. The scheme is based on our idea of a resonant detector, incorporating an integrated Tunnel Diode (TD) and a GaAs HEMT/HFET (High Electron Mobility Transistor/Heterogenous FET) transistor amplifier, weakly coupled to a cavity in a strong transverse magnetic field. The TD-amplifier combination is suggested as a sensitive and simple technique to facilitate resonance detection within the cavity while maintaining excellent noise performance, whereas our proposed Halbach magnet array could serve as a low-noise and permanent solution replacing the conventional electromagnets scheme. We present some preliminary test results which demonstrate resonance detection from simulated test signals in a small optimal axion mass range with superior Signal-to-Noise Ratios (SNR). Our suggested design also contains an overview of a simpler on-resonance dc signal read-out scheme replacing the complicated heterodyne readout. We believe that all these factors and our propositions could possibly improve or at least simplify the resonance detection and read-out in cavity-based DM particle detection searches (and other spectroscopy applications) and reduce the complications (and associated costs), in addition to reducing the electromagnetic interference and background.Comment: 22 pages, 7 figure

Algoritma Rocc

Algoritma concurrency control merupakan algoritma pengendalian akses konkurensi pada sistem sehingga objek yang diakses bersifat konsisten. Penelitian tentang concurrency control sudah dilakukan sejak 30 tahun lalu dan sudah banyak algoritma yang dihasilkan. Algoritma yang dihasilkan umumnya menggunakan asumsi bahwa Transaction Manager adalah satu-satunya modul yang digunakan pengguna untuk mengakses objek. Sekarang ini akses terhadap objek dilakukan orang tidak hanya melalui Transaction Manager, tetapi juga melalui aplikasi internet. Pola tingkah laku transaksi melalui aplikasi internet berbeda dengan aplikasi tradisional. Algoritma concurrency control yang ada seperti two phase locking kurang tepat dan berkinerja buruk pada aplikasi internet. Untuk itu dibutuhkan suatu algoritma concurrency control baru yang sesuai dengan aplikasi internet. Shi dan Perizzo memperkenal algoritma ROCC (Read-commit Order Concurrency Control). Banyak peneliti menilai algoritma ini sangat sesuai dengan aplikasi internet, tetapi algoritma ini melakukan restart yang tidak perlu. Penulis mencoba memperbaiki algoritma proses validasi sehingga restart dilakukan hanya pada akses atau transaksi yang tidak konsisten. Penelitian ini juga melakukan simulasi dalam upaya melihat perbedaan kinerja antara algoritma ROCC dan algoritma ROCC yang sudah diperbaiki

Perbandingan Metode Fuzzy TIME Series dan Holt Double Exponential Smoothing pada Peramalan Jumlah Mahasiswa Baru Institut Pertanian Bogor

Peramalan merupakan kegiatan memprediksi nilai suatu variabel di masa yang akan datang. Tujuan penelitian ini adalah memprediksi jumlah mahasiswa baru Institut Pertanian Bogor dengan menggunakan metode fuzzy time series dan metode pemulusan eksponensial ganda dari Holt serta membandingkan kedua metode tersebut dengan cara melihat tingkat ketepatan peramalan Mean Absolute Percentage Error (MAPE). Metode fuzzy time series menggunakan himpunan fuzzy dalam proses peramalannya sedangkan metode pemulusan eksponensial ganda dari Holt menggunakan pemulusan nilai dari serentetan data dengan cara menguranginya secara eksponensial. Dalam meramalkan jumlah mahasiswa baru Institut Pertanian Bogor, metode fuzzy time series menghasilkan tingkat ketepatan peramalan yang lebih baik dengan nilai MAPE sebesar 6.41 % dibandingkan dengan metode pemulusan eksponensial ganda dari Holt dengan nilai MAPE sebesar 7.75 %. Setelah dilakukan studi kasus, metode pemulusan eksponensial ganda dari Holt akan lebih akurat hasil peramalannya jika data yang digunakan lebih banyak

PRACB: A Novel Channel Bonding Algorithm for Cognitive Radio Sensor Networks

Wireless sensor networks (WSNs) can utilize the unlicensed industrial, scientific and medical (ISM) band to communicate the sensed data. The ISM band has been already saturated due to overlaid deployment of WSNs. To solve this problem, WSNs have been powered up by cognitive radio (CR) capability. By using CR technique, WSNs can utilize the spectrum holes opportunistically. Channel bonding (CB) is a technique through which multiple contiguous channels can be combined to form a single wide band channel. By using channel bonding (CB) technique, CR based WSN nodes attempt to find and combine contiguous channels to avail larger bandwidth. In this paper, we show that probability of finding contiguous channels decreases with the increase in number of channels. Moreover, we propose two algorithms of primary radio (PR) activity based channel bonding schemes and compare with sample width algorithm (SWA). The simulation results show that our algorithm significantly avoids PR-CR harmful interference and CB in cognitive radio sensor networks (CRSNs) provides greater bandwidth to CR nodes

NS-2 based simulation framework for cognitive radio sensor networks

In this paper, we propose a simulation model for cognitive radio sensor networks (CRSNs) which is an attempt to combine the useful properties of wireless sensor networks and cognitive radio networks. The existing simulation models for cognitive radios cannot be extended for this purpose as they do not consider the strict energy constraint in wireless sensor networks. Our proposed model considers the limited energy available for wireless sensor nodes that constrain the spectrum sensing process—an unavoidable operation in cognitive radios. Our model has been thoroughly tested by performing experiments in different scenarios of CRSNs. The results generated by the model have been found accurate which can be considered for realization of CRSNs