Let $(\\Gamma,\\star)$ be a finite abelian group and $S=\\{x\\in \\Gamma \\ | \\ x\\neq x^{-1} \\}$. The {\\it inverse graph} of $\\Gamma$ denoted by $G_s(\\Gamma)$ is the graph whose vertex set is the elements of $\\Gamma$ and two distinct vertices $x$ and $y$ of $\\Gamma$ are adjacent if and only if $x\\star y\\in S$. In this paper, we characterize all finite abelian groups whose inverse graphs are bipartite, complete bipartite and star graph. Further we determine (up to isomorphism) all finite abelian groups whose inverse graphs have genus at most one. We also classify the finite abelian groups for which the inverse graph $G_s(\\Gamma)$ is outerplanar.
The peer-to-peer vacation rental platform is a type of accommodation reservation management system. Through this platform, anyone can be a host by offering non-hotel vacation accommodation to others or becomes a guest by booking accommodation via this platform. Distribution of keys between the hosts and the guests has become an issue. Apart from paying the cost of key fabrication and replication, the hosts need a careful planning in the distribution of keys. Also, the distribution of keys would lead to security concerns in case of misplacing of keys or lost keys. Although various techniques have been developed for digital door locks or smart locks, none of the techniques is integrated with the peer-to-peer vacation rental platform to overcome the key distribution problem. In this paper, we propose a vacation rental management platform with smart lock access to overcome the key distribution problem. We have built a prototype system and the testing resuls are promising. The integration can help to mitigate the hassles of passing the keys from the host to the guest and vice versa. It is posited that such integration can improve user experience using the peer-to-peer vacation rental platforms and increase the market valuation of these platforms.
Chronic obstructive pulmonary diseases (COPD, bronchiectasis) are increasing in prevalence worldwide. The main task in the treatment of this diseases is to control the symptoms of the disease, prevent exacerbations and stop the progression. Effective treatment remains a problematic issue, given the pathogenetic features of these nosologies. An in-depth understanding of the effects of lung microbiome in pathology can shed light on these insufficiently studied issues, because in the human lungs is concentrated a huge number of microorganisms, which have a huge impact on body health and the development of diseases. Each person is characterized by individually stable genotypes of microbial representatives. Quantitative and qualitative changes of these microbiocenoses can have a significant impact on the development and outcomes of lung diseases. Thus, Pseudomonas- and Haemophilus-dominant variants of the lung microbiome are associated with severe pulmonary pathology and frequent exacerbations. This review highlights the main studies of lung microbiome in pathology and possible prospects for its regulation for therapeutic purposes.
We study on the characterization of the boundary of stability region for Belousov-Zhabotinsky reaction.
The main object of this article is to develop the existence theory for the solutions of stochastic differential equations under G-Brownian motion (G-SDEs), in a generalized space . It is shown that under some suitable conditions the G-SDEs have unique solutions. In addition, the theory is established for backward stochastic differential equations under G-Brownian motion (G-BSDEs) in the above mentioned space
High speed networks are used to connect heterogeneous systems. Different resource levels are used in heterogeneous distributed systems. Resources are allocated for the dependant and independent tasks. Processor and memory are shared with the nodes under heterogeneous distributed system environment. Scheduling schemes are used for the resource allocation process. \n Heterogeneous systems are build to execute user applications on remote resources. Processors are shared between the users. Tasks are divided into two categories. They are dependent and independent tasks. Independent tasks can be scheduled in any sequence. Dependent tasks can be scheduled with reference to the tasks precedence. Denials of Service attacks are initiated by the malicious users. Security is provided with reference to the trust level of the resources. The current resource scheduling scheme supports single resource allocation model. High security overhead is obtained in the current scheduling scheme. HDS interconnection is not handled. Trust level is not optimized in the scheduling methods.\n The system is designed to manage resources with security. Multi dimensional resource allocation scheme is proposed for the scheduling process. Heterogeneous distributed systems communication is provided in the system. Resource allocation is performed with security level factors. The system development is planned with JAVA front end and Oracle back end software.
Genomic repositories increasingly include individual as well as reference sequences, which tries to share near-identical and long identical strings of nucleotides. The sequential processing used by many compression algorithms and the volumes of data involved in compression, mean that these long-range repetitions of sequences are not detected. In this paper authors have shown that a new method of dictionary construction for compression has been very effective in long-range repetition detection making it ideal for compressing very large DNA data sets. The results have shown that improved COMRAD method is able to compress much larger data sets than existing DNA compression algorithms and able to detect repetition over a much longer range than existing general-purpose dictionary-based compression algorithms. Also authors have try to shown experimentally with the help of comparison tables and line graph that the method is effective and many improvements can be made to the general idea to create a very powerful and extendible compression algorithm for compressing and searching in very large data sets.
Concrete is widely used in structural engineering with its high compressive strength, low cost and abundant raw material. But common concrete has some shortcomings, for example, low tensile and flexural strength, poor toughness, high brittleness, and so on that restrict its application. To overcome these deficiencies, additional materials are added to improve the performance of concrete. A Nano admixture is a composite material that has been developed in recent years. It has been successfully used in construction with its excellent flexural tensile strength, permeability and so on. An attempt has been made in this paper to provide the advantages and benefits of using nano admixtures in concrete for a variety of applications. The use of admixtures help in modifying properties of concrete both in plastic and hardened stage and thus results into a more durable concrete. The main purpose of this investigation is to study the effects of nano clay on the compressive, split tensile and flexural strength of concrete. Concrete specimens were casted with and without nano clay and tested after 7 and 28 days water curing. Experimental results show that addition of admixtures improves the performance of concrete.