18 research outputs found
Extending the UTAUT Model to Understand the Citizens’ Acceptance and Use of Electronic Government in Developing Country: A Structural Equation Modeling Approach
No full textLive migration using checkpoint and restore in userspace (CRIU): Usage analysis of network, memory and CPU
Get PDFCurrently cloud service providers have used a variety of operational mechanism to support the company's business processes. Therefore, the services are stored on the company's server, which present in the form of infrastructure, platform, software and function. There are several vulnerabilities have been faced in the implementation such as system failure, natural disasters, human errors or attacks from unauthorized parties. In addition, the time of unavailability of services can be minimized by doing a LM, which many servers have been used the containers to behave like a service provider. Actually, its existence replaces the virtual machine that requires more resources although the process only can be done through Docker with checkpoint and restore in userspace (CRIU). In this research, LM processes are done to the Docker container using CRIU by analyzing the quality of service (QoS), memory and CPU usage. Thus, the simulation are carried out by establishing the LM using 2 (two) different platforms through scenarios with one and three containers respectively. The performance analysis results aim to examine several indicators in comparison with the achievable result to reduce problem occurred in the cloud service
Ransomware attack awareness: analyzing college student awareness for effective defense
Get PDFThere are growing concerns about security as the usage of computers in academic settings continues to increase. This research aims to investigate the level of awareness among university students regarding security threats associated with ransomware. This study examines students' behaviour and preventive motivation for ransomware attacks, along with the measures taken to mitigate these security threats. The study model combines the theory of planned behaviour (TPB) and preventive motivation theory (PMT) with additional threat awareness (TA) variables. The research findings indicate a high level of awareness regarding the dangers. TA has a positive influence on other factors, as indicated by the significant t-values (perceived severity (PS)=4.479, perceived vulnerability (PV)=3.251, response efficacy (RE)=14.344, and self-efficacy (SE)=8.034). This research also demonstrates that subjective norm (SN) and affective responses (AR) have a key impact on behavioural intention (BI). Moreover, two of the preventive motivation factors, PS and PV, significantly contribute to BI, while the other two (RE and SE) did not show a significant contribution to BI
Analysis of How Scalable Features in Hadoop/MapReduce by Internet Traffic Management
Get PDFInternet traffic monitoring is to measure and analyze the network bottlenecks to manage the online data are transferring processes efficiently. Various tools have been developed by using internet traffic measurement and internet traffic analysis tools, such as Hadoop. Activity measurement and adaptive examination represent the dynamics of information exchange. On the other hand, information exchange and dynamics measure movement in light of the system assets that can be accessed depending on the
characteristics of the exchanged information. The main aim of this work is to apply scalable features of internet traffic measurement and analysis using Hadoop to understand the effects of these features on the speed of transferring data. This gives a new vision or opportunity to dynamically adapting the most suitable traffic measurement and analysis feature according to network capabilities and environment. This research employs Hadoop/Map Reduce as scalable internet traffic measurement and analysis tools. The
simulation was conducted by using five personal computers; one as a server and four virtual computers as network nodes. Each computer has 2GB memory and 100GB storage. Five types of data segmentation are utilized 10 MB, 40MB, 64MB, 200MB, and500MB. The speed of the network is calculating in a megabit per second (Mbs) based upon the network speed on the number of allocated PCs (100 Mbs/4). The simulation is conducted to test the data transfer time based on various selections of network capabilities such as transferring extensive data through a network of medium and heavy usag
Analysis of How Scalable Features in Hadoop/MapReduce by Internet Traffic Management
Get PDFInternet traffic monitoring is to measure and analyze the network bottlenecks to manage the online data are transferring processes efficiently. Various tools have been developed by using internet traffic measurement and internet traffic analysis tools, such as Hadoop. Activity measurement and adaptive examination represent the dynamics of information exchange. On the other hand, information exchange and dynamics measure movement in light of the system assets that can be accessed depending on the
characteristics of the exchanged information. The main aim of this work is to apply scalable features of internet traffic measurement and analysis using Hadoop to understand the effects of these features on the speed of transferring data. This gives a new vision or opportunity to dynamically adapting the most suitable traffic measurement and analysis feature according to network capabilities and environment. This research employs Hadoop/Map Reduce as scalable internet traffic measurement and analysis tools. The simulation was conducted by using five personal computers; one as a server and four virtual computers as network nodes. Each computer has 2GB memory and 100GB storage. Five types of data segmentation are utilized 10 MB, 40MB, 64MB, 200MB, and500MB. The speed of the network is calculating in a megabit per second (Mbs) based upon the network speed on the number of allocated PCs (100 Mbs/4). The simulation is conducted to test the data transfer time based on various selections of network capabilities such as transferring extensive data through a network of medium and heavy usage
The new trend for search engine optimization, tools and techniques
Get PDFSearch Engines are used to search any information on the internet. The primary objective of any website owner is to list their website at the top of all the results in Search Engine Results Pages (SERPs). Search Engine Optimization is the art of increasing visibility of a website in Search Engine Result Pages. This art of improving the visibility of website requires the tools and techniques; This paper is a comprehensive survey of how a Search Engine (SE) works, types and parts of Search Engine and different techniques and tools used for Search Engine Optimization (SEO.) In this paper, we will discuss the current tools and techniques in practice for Search Engine Optimization
Pembangunan model konsep standard pengajaran guru pendidikan jasmani berorientasikan amalan dan kluster perwatakan guru
No full textKajian ini bertujuan untuk membangunkan satu model konsep standard pengajaran guru Pendidikan Jasmani berorientasikan amalan dan kluster perwatakan guru. Pembangunan model konsep ini melalui 3 fasa pembinaan di mana fasa 1 menjurus kepada kajian keperluan atau kajian awalan dalam mengenal pasti punca masalah dan mengenal pasti konstruk serta dimensi bagi mengatasi permasalahan yang timbul melalui konsep dan pembinaan struktur konten (content structure). Fasa 2 pula menjurus kepada kajian rintis dan fasa 3 adalah merupakan peringkat kajian sebenar pengkaji yang mana sampel yang dipilih ialah guru yang mengajar subjek Pendidikan Jasmani. Pada peringkat fasa 1, setelah isu kajian dikenal pasti maka konstruk kajian dikupas melalui kaedah analisis dokumen dan temu bual pakar. Kedua-dua hasil dapatan dibuat analisis matrik bagi mendapatkan persetujuan pakar sebelum dimensi kajian dibentuk. Setelah konstruk dan dimensi dipersetujui, pengkaji melakukan analisis kualitatif menggunakan Fleiss Kappa bagi menentusahkan atribut kajian yang digunakan untuk membangunkan instrumen kajian. Setelah hasil analisis Kappa diperoleh, maka soal selidik dibangunkan berdasarkan nilai Kappa yang melebihi > 0.61, di mana nilai tersebut menunjukkan tahap persetujuan yang baik. Seterusnya pada fasa 2, kajian rintis dijalankan dan pengkaji akan menganalisis item menggunakan pendekatan pengukuran model Rasch bagi menentukan empat (4) diagnosis bagi tujuan pemeriksaan kefungsian item. Analisis rintis dijalankan menentukan (i) kebolehpercayaan dan pengasingan item-individu; (ii) nilai Pt-Measure Corr bagi mengesan polarity item yang mengukur konstruk; (iii) kesesuaian (fit) item mengukur konstruk; dan (iv) nilai korelasi residual terpiawai dalam menentukan item bersandar. Setelah melalui proses rintis, berdasarkan item yang benar-benar berkualiti, pengkaji menjalankan kajian sebenar pada fasa 3. Semakan kategori skala pengukuran mendapati skala Likert lima (5) mata sesuai digunakan dalam kajian ini. Bagi mengesahkan model konsep yang dibangunkan, berdasarkan analisis komponen utama (Principal Component Analysis - PCA) menggunakan pendekatan model pengukuran Rasch pengkaji memperolehi nilai raw variance explained by measure yang diperolehi lebih besar daripada 40%, nilai first contrast unexplained variance kurang daripada 10% dan nilai first contrast eigenvalue kurang daripada 3.0. Hasil dapatan kajian ini menunjukkan dengan jelas konstruk yang dibina adalah bersifat unidimensi dan disahkan merupakan komponen atau faktor kepada model konsep standard pengajaran guru Pendidikan Jasmani berorientasikan amalan dan kluster perwatakan guru yang dibangunkan
Analysis of How Scalable Features in Hadoop/MapReduce by Internet Traffic Management
No full textInternet traffic monitoring is to measure and analyze the network bottlenecks to manage the online data are transferring processes efficiently. Various tools have been developed by using internet traffic measurement and internet traffic analysis tools, such as Hadoop. Activity measurement and adaptive examination represent the dynamics of information exchange. On the other hand, information exchange and dynamics measure movement in light of the system assets that can be accessed depending on the
characteristics of the exchanged information. The main aim of this work is to apply scalable features of internet traffic measurement and analysis using Hadoop to understand the effects of these features on the speed of transferring data. This gives a new vision or opportunity to dynamically adapting the most suitable traffic measurement and analysis feature according to network capabilities and environment. This research employs Hadoop/Map Reduce as scalable internet traffic measurement and analysis tools. The
simulation was conducted by using five personal computers; one as a server and four virtual computers as network nodes. Each computer has 2GB memory and 100GB storage. Five types of data segmentation are utilized 10 MB, 40MB, 64MB, 200MB, and500MB. The speed of the network is calculating in a megabit per second (Mbs) based upon the network speed on the number of allocated PCs (100 Mbs/4). The simulation is conducted to test the data transfer time based on various selections of network capabilities such as transferring extensive data through a network of medium and heavy usage
Mining Significant Association Rules from on Information and System Quality of Indonesian E-Government Dataset
No full textEffect of ambient temperature on ignition delay, combustion process and emission of biodiesel derived from algae
No full textGlobal warming and energy crises have increased the awareness about eco-friendly fuels and also accelerated the search of alternative fuels. Biodiesel is defined as methyl esters of long chain fatty acids derived from vegetable oils or animal fats or similar which conform to ASTM D6751 specifications for use in diesel engines. However, low temperature combustion mode has attracted widespread attention in particulate matter and NOx emissions reduction simultaneously. Thus, this paper evaluates the potential of using algae as the alternative fuel for diesel engines and focuses on experimental investigation for the influence of ambient temperature on ignition delay and emission with different types of biodiesel. A Rapid Compression Machine (RCM) is used for simulated the diesel combustion as similar in the real diesel engine. Besides, two types of biodiesel blends, B2 (2vol%) such as Algae and Jatropha biodiesel were tested on RCM at injection pressure of 130 MPa under different ambient temperatures from 750 K to 1100 K. The experimental results were compared with Palm-Oil biodiesel with blending ratio of 5vol%, 10vol% and 15vol%. Nevertheless, the result indicated that the ignition delay is slowed when ambient temperature is increased. These phenomena can be explained by the thermal properties of fuels. Ignition delay is found to be slower if premixed combustion process is reduced and also higher ambient temperature due to the increased in fuel ignitibility. The emission of NOx increased as the ambient temperature increased to cause highly combustion temperature
