Different Individual’s Impact on Learning Performance in Virtual Reality

Motivation This study cooperated with National Palace Museum and the aim is to determinate the difference between various personal characteristics on learning performance in virtual reality (VR), to find out what kind of personality can have a better impact on performance and also want to raise people’s interests in learning by using virtual reality. According to the current application on VR, it has been widely utilized in surgery simulation, aircraft simulation training and as we can see now, VR is getting more and more popular in gaming filed. Also, there already have many studies discussed about the VR, for example, many studies ([1]Witmer & Singer, 1998; [2]Steuer, 1992; [3] Rafaeli , 1988) discussed the factors which may influence user’s experience in virtual environment and also there already have been lots of literatures ([4] Heeter, 1992; [5] Sanchez-Vives & Slater., 2005;[1] Witmer & Singer, 1998) talked over the indicator which can measure user’s experience, the indicator we call it ‘presence’ and will talk about it later. In addition, there has another literatures proposed another indicator to measure user’s experience, it’s called ‘engagement’. In this study we will talk about them and use them to measure how much subjects involve in the virtual environment. But as we can see now, there are not so much application on educational field in VR. Otherwise, most of the literatures talked about what kind of usage in technology can have better presence to user or what kind of presence user would have when they experienced VR, also as we mentioned above, the application of VR in surgery simulation or aircraft stimulation training etc. With the chance if cooperating with the National Palace Museum, it’s a good opportunity to do a research on it, National Palace Museum provide virtual reality equipment and the educational content to us, we dedicated to find out the different individual’s impact on the usage of VR and also explore what kind of channels can have better presence or engagement to users and find the suitable content usage in different channel. After all, our aim is to let the application of VR can have more possibility in different field such as education and make people have more interests in learning the history of antiquities by using the virtual reality equipment which is supplied by National Palace Museum

PERBANDINGAN KINERJA JARINGAN SYARAF TIRUAN BACKPROPAGATION DENGAN PEMROSESAN PARALEL GPGPU CUDA DAN PEMROSESAN SEKUENSIAL

Jaringan Syaraf Tiruan (JST) merupakan salah satu contoh kecerdasan buatan yang terdiri dari beberapa layer yang dibentuk oleh node neuron, dan saling terhubung satu sama lain melalui jaringan. Metode JST diketahui sebagai salah satu metode terbaik dalam menyelesaikan beberapa kasus meskipun masih diperlukan waktu komputasi yang lama dalam kasus yang sangat kompleks. Pemrosesan Paralel dengan memanfaatkan kekuatan GPU Geforce diharapkan proses pelatihan dan pengujian JST untuk suatu kasus berjalan dengan waktu komputasi lebih cepat. Untuk mencapai tujuan, bahasa pemrograman C++ dan SDK CUDA sebagai tool pemrograman paralel. JST yang digunakan adalah metode JST backpropagation, dengan penerapan komputasi sekuensial dan paralel. Dari hasil penelitian dapat diketahui bahwa ternyata waktu komputasi paralel yang dibutuhkan 4 kali waktu komputasi sekuensial. Oleh karena itu, aplikasi JST untuk prediksi jumlah penderita penyakit masih cukup ditangani dengan pemrosesan sekuensial saja. Kelambatan pemrosesan paralel kemungkinan dapat disebabkan oleh latency, throughput, memory clock, cache, clock prosesor, bandwith atau algoritma paralel yang digunakan. Dengan adanya permasalahan crash yang dialami aplikasi JST setelah melakukan pengaturan nilai neuron hidden yang lebih besar, pemrosesan paralel masih bisa menjadi alternatif untuk menyelesaikan beberapa kasus. Pemahaman mengenai JST backpropagation dan arsitekur GPU sangat diperlukan agar dapat mengembangkan aplikasi JST CUDA dengan baik

Threat assessment of aerial targets based on improved GRA-TOPSIS method and three-way decisions

Target threat assessment is a critical aspect of information warfare and can offer valuable auxiliary support to combat command decision-making. Aiming to address the shortcomings of three decision-making methods in air combat target assessment, such as the inability to effectively handle uncertain situation information and quantitatively rank the decision-making targets according to their importance, a dynamic intuitionistic fuzzy decision model based on the improved GRA-TOPSIS method and three-way decisions is proposed. First, the target attribute weight is obtained by cosine intuitionistic fuzzy entropy algorithm; then, a novel intuitionistic fuzzy distance measure is introduced, and grey incidence analysis and TOPSIS are used to build the conditional probability for three-way decisions that fully utilize the existing information and reflect the consistency of dynamic change trend; finally, the comprehensive loss function matrix is constructed and the threat classification results are obtained using the decision rules. The example analysis shows that the proposed method can not only effectively handle complex battlefield situations and dynamic uncertain information, but it can also classify targets, improving the effectiveness and rationality of decision-making and providing a reference basis for scientific command decision-making

Wireless sensor node mobility and its effect on transmission reliability

Abstract: Deploying a Wireless Sensor Network (WSN) poses certain challenges such as data reliability due to Electromagnetic Interference (EMI), multipath fading as well as faster energy depletion of nodes located near the base station creating communication holes in the network. Several energy efficient algorithms have been developed to improve the energy consumption of static nodes however the issue of battery depletion of nodes near the base station remains present. In this paper we attempt to model the relationship between the node mobility and the reliability of data transmission. Mobile nodes could move near static nodes experiencing high traffic in order to reduce the number of packets sent through the saturated nodes. This paper will investigate, using a real environment, the effect of speed and packet size on the reliability of the wireless link. This is a required prerequisite, prior to a detailed design of a Mobile relay node

The role of gut archaea in the pig gut microbiome: a mini-review

The gastrointestinal microbiota of swine harbors an essential but often overlooked component: the gut archaea. These enigmatic microorganisms play pivotal roles in swine growth, health, and yield quality. Recent insights indicate that the diversity of gut archaea is influenced by various factors including breed, age, and diet. Such factors orchestrate the metabolic interactions within the porcine gastrointestinal environment. Through symbiotic relationships with bacteria, these archaea modulate the host’s energy metabolism and digestive processes. Contemporary research elucidates a strong association between the abundance of these archaea and economically significant traits in swine. This review elucidates the multifaceted roles of gut archaea in swine and underscores the imperative for strategic interventions to modulate their population and functionality. By exploring the probiotic potential of gut archaea, we envisage novel avenues to enhance swine growth, health, and product excellence. By spotlighting this crucial, yet under-investigated, facet of the swine gut microbiome, we aim to galvanize further scientific exploration into harnessing their myriad benefits

The carbon impact of short-haul tourism: A case study of UK travel to Southern France using life cycle analysis

Tourism holds a significant share in the global carbon footprint. Transportation to the destination is recognized as the primary contributor, although its contribution can be less dominant in the context of short-haul travel. Previous studies do not provide a critical comparative analysis of how changes in travel behaviour, notably modal shift, affect the total carbon impacts from short-haul holidays; nor do they explore the relative contribution of the specific elements of the holiday product or account for global variations when measuring those contributions. This paper presents a carbon impact assessment case study of short-haul tourism to Southern France by British tourists. It applies an advanced, Life Cycle Assessment-based, method of evaluation, the hybrid DEFRA-LCA (Ecoinvent) approach, which is capable of appraising both the direct and the embodied 'indirect' greenhouse gas emissions. The principal finding supports the traditional view that transportation generates the largest carbon footprint and that the most significant carbon savings can be achieved by switching from air and car-based travel to train and coach. However, the study also indicates that if tourists stay at the destination longer, and travel to the destination by train or coach, the destination-based elements of the holiday can make a large carbon contribution and even outweigh the share of the transit element. The Life Cycle Assessment also shows that the 'indirect' greenhouse gas emissions from tourism in Southern France are significant, thus emphasizing the importance of their incorporation into future carbon impact appraisals. © 2013 Elsevier Ltd. All rights reserved