Skip to main content

Posts

Reloading for Android

Reloading for Android This paper is accompanied by a video demonstrating the tool in action. In this section we will briefly describe the demo applications shown in the video, which will also serve as the foundation for the performance evaluation in the next section. The first demo application is one of the sample applications made by Google to showcase some of the capabilities of the Android platform called DivideAndConquer, [4]. It is chosen for this paper primarily because the visual nature of a game allows the viewer to clearly see the immediate effects of runtime class reloading. The application consists of only 13 classes. Clearly, an app which is this small does not have a huge redeployment time, thus the direct savings gained by utilizing class reloading with JRebel.Android will be relatively small. However, from the enormous amount of user experience with JRe
Recent posts

Mutual Information Mining for Component Law and Development of New Recipes of Topical Herbs for Atopic Dermatitis

Online Herbs Shopping Project Mutual Information Mining for Component Law and Development of New Recipes of Topical Herbs for Atopic Dermatitis With the development of industry, atopic dermatitis (AD) has becoming more and more prevalent in the pediatric population, with rates reportedly as high as 10̄20% in the England[1], and the 0.7% in the population from 6 to 20 years old in China[2]. Modern medicine treatment for this disease includes corticosteroids, moisturizers, emollients, antihistamines, antibiotics, immunomodulators, immunosuppressants and etc[3]. Recently, Complementary and Alternative Medicine, Includes Traditional Chinese medicine, has started to become a new research focus, and these studies mainly focused on reducing the amount of the use of corticosteroids and reducing the side effects of corticosteroids in patients of AD. Chinese medicine treatment of atopic dermatitis has a long history. However, so far, most of the Chinese medicine researches o

The Determinants of Online Shopping Behavior

Online Shopping E-Commerce Android App Project The Determinants of Online Shopping Behavior A.Social Cognitive Theory Reference [7] argued that social cognitive theory is a powerful theory for explaining human behavior. The core argument of social cognitive theory is that cognitive personal and environmental factors affect behavior [7, 16]. Reference [7] indicated that the primary statement in social cognitive theory is that there is a triadic mechanism among personal characteristics, such as cognitive states, psychical features, such as external environment factors, and behavior. Reference [7] shown that an individual’s perception can mold behavior. The way people think and feel is related to behavior. In other words, the cognitive state may influence individual’s behavior. Reference [7] expressed that the environment which individuals surround within is related to behavior. The environment which involves in social cognitive theory includes physical environment a

Efficient Garbage Collection Policy and Block Management Method for NAND Flash Memory

Garbage Management System Project Efficient Garbage Collection Policy and Block Management Method for NAND Flash Memory Recently NAND flash memories are widely used as storage alternatives to hard disks in embedded systems. Different characteristics of NAND flash memories from hard disks include: a limited block erase count, the impossibility of in-place update, and asymmetry in operation granularity. Thus various garbage collection techniques for the NAND flash memories have been proposed. https://codeshoppy.com/shop/product/location-based-garbage-management-system-for-smart-city/ However, existing garbage collection techniques impede block wear leveling because they use the same method for both hot and cold data. In this paper, we propose efficient garbage collection and block management methods to improve block wear leveling and garbage collection speed. First of all, data are classified into three types according to modification frequency–hot data, cold data,

Secure Exam Management System for M-Learners

Secure Exam Management System for M-Learners  E- LEARNING has experienced such an extraordinary growth over the last years that its global industry market is estimated to be worth USD 91 billion [1]. Learn-ing Management Systems (LMSs), due to being essential tools of e-learning, have been adopted by many organiza-tions to establish and provide access to online learning services. Nowadays, the success of LMSs is so great: 74% of the US corporations and educational institutions cur-rently offering e-learning employ LMSs in their training programs [2]. In Spain, over 90% of the universities and colleges use an LMS [3]. According to [4], 29% of the or-ganizations (banking sector, retailing sector, etc.) in Tur-key have adopted e-learning applications. Globally, 79.5% of large companies were reported to be using these sys-tems in their training programs in 2008 [5] and the market for LMS is estimated to have an annual growth rate of about 25.2% through the year 2018 [6]. The expan