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Currently, cloud services have become a novel business model for information services owing to the rapid development of Cloud Computing (CC) technology. Hence, an efficient Smart Contract (SC) creation for cloud data security is proposed in this work. Primarily, the registered Data Owner (DO) selects the file to be uploaded. Then, the data is securitized utilizing Twisted Hessian Curve-based Digit Folding Elliptic Curve Cryptography (THC-DFECC). Afterward, the data is securely uploaded into the Interplanetary File System (IPFS). Thereafter, the DO creates the SC. By utilizing Gini Canberra-k-anonymity (GC-k-anonymity), the SC data is preserved, and it is hashed using the Exponential Entropy-based SWIFFT hashing algorithm (EE-SWIFFT). After that, it is securely uploaded into the BlockChain (BC). Conversely, the Data User (DU) sends the data access request to IPFS. Next, IPFS generates the token, which is verified with the data access request. If it matches, the hashed data is sent to DU. Lastly, the verification for accessing the data is performed in which the SC is created by DU and verified with the BC. If it matches, the verification at Cloud Server Authority (CSA) is performed. According to the experimental results, the proposed technique withstands a higher security level as compared to existing methodologies.

Weather based decision support for managing pests and diseases of crops requires use of information technology. This paper details a system developed using ontology, semantic web rule language and image processing techniques for management of pests and diseases on wines, particularly in hot tropical region of India. It aims at minimising use of pesticides and fungicides by forecasting pests and diseases occurrence using information about meteorological conditions and it's relation with pest and disease occurrence. It is named as PDMGrapes. For system knowledge base, knowledge available in different formats on grape pests and diseases is converted to ontology. Favourable meteorological conditions for pest and disease occurrences are mentioned by SWRL rules. Grapes disease identification is done using image processing techniques. The system helps grape growers to minimise side effects of pesticides on environment. The developed system is validated and verified for accuracy and performance.

For any decision support system, having meaningful, up-to-date, interoperable and consistent knowledge base is important. Ontologies can be used for representing knowledge semantics and knowledge sharing. Hence ontologies are getting more importance these days as heterogeneous integrated systems are used in almost all areas. Ontology gets evolved with increase in domain knowledge of experts. Change management of ontology is must to keep consistency of knowledge base. This paper demonstrates use of decision tree for ontology building and evolution. Detail algorithm for extending ontology from decision tree is discussed in the paper. For decision support using knowledge stored in ontology, ontology reasoning is used. Semantic web rule language is the technique used for ontology reasoning. Accuracy of decision support depends on strength and correctness of inference logic. Paper describes how accuracy of decision support improves with semi-automated construction of SWRL rules. The approach is validated with example of nutrition management system for grapes.

Enterprise resource planning (ERP) implementation projects involve complex processes which influence operations and performance of companies. It is essential to identify critical success factors (CSFs) of ERP implementation projects out of several contributing factors. In most large original equipment manufacturer (OEM) organisations, ERP systems have replaced legacy information systems with integrated and maintainable software. In an attempt to understand what the CSFs are, why they are critical, and to what extent they are relevant to such OEM organisations this paper explores the existing literature empirically to research the CSFs that lead to the success of ERP, which is our basic objective. We conducted exploratory factor analysis (EFA) in the context of ERP implementation in large manufacturing organisation. The findings of the results provide valuable insights for the researchers, practitioners and managers interested in adopting ERP systems in similar environments, which is also an objective of our research.

The paper presents a review of the current literature published in journals in the field of information system application 'enterprise resource planning' (ERP) to identify challenges faced in ERP implementation projects. ERP implementation is a challenging and expensive task that not only requires rigorous efforts but also demands to have a detailed analysis of such factors that are critical to the adoption or implementation. Though ERP implementation and its critical issues, success factors and implementation problems have been investigated in the past but they are not filtered comprehensively in terms of the different perspectives. The result of literature review presented of our work focuses on the ERP implementation challenges from four different perspectives such as: technology selection; change management, knowledge management, emerging technologies. Considering these perspectives in ERP implementation projects organisations can realise several benefits such as reducing costs and saving time or extra effort.

We describe two fast methods for computing the first factor of the class number of the cyclotomic field $ \mathbb{Q}({\zeta _p})$ $ \mathcal{O}({p^2}{\log ^5}p)$ $ \mathcal{O}({p^2}\log p)$p, respectively. The first is deterministic, while the second holds under the GRH. This is an improvement over the previous method of Lehmer and Masley, which has complexity .

After a brief review of partial results regarding Case I of Fermat's Last Theorem, we discuss the relationship between the number of points on Fermat's curve modulo a prime and the resultant Rn of the polynomials Xn– 1 and (–1 − x)n– 1, called Wendt's determinant. The investigation of a conjecture about essential prime factors of Rn(Conjecture 1.3) leads to a proof that CaseI of Fermat's LastTheorem holds for any prime exponent p> 2 such that np+ 1 is prime for some integer n≤ 500 not divisible by 3.EDITOR'S NOTE: In addition to providing insight into Wendt's determinant, an object of interest in its own right, this paper belongs to a continuing line of investigations that may prove fruitful in spite of the recent announcement by Wiles of his proof of Fermat's Last Theorem. It is not unreasonable to hope for a more elementary proof than Wiles'.