A Review Paper on PAPR Reduction in OFDM using SLM and Adaptive Clipping

Orthogonal Frequency division Multiplexing (OFDM) is an effectual technique of data transmission for high speed communication schemes. However, the main drawback of OFDM system is the high Peak to Average Power Ratio (PAPR) of the communicated signals. OFDM contain of large number of independent subcarriers, as a result of which the amplitude of such a signal can have high peak values. Coding, phase rotation and clipping are between many PAPR reduction schemes that have been proposed to overcome this problem. Here in this paper we survey on two different PAPR reduction methods adaptive clipping and selective mapping (SLM) are used to reduce PAPR. Important reduction in PAPR has been achieved using these techniques

Information and communication technology in agribusiness: A study of mobile applications in perspective of India

Federation of Indian Chambers of Commerce and Industry in one of its finding in 2019 stated that about 58%  Indians are dependent on agriculture and agriculture sector make about 15.96 % of India’s GDP. To get the best agriculture inputs and best harvest price is the big question for Indian farmers; thus, we can say that “Agriculture is the foundation of the Indian economy”. With the origin of Mobile Applications (m-apps) for agriculture and a huge dependency on Information and Communication Technology (ICT) in agribusiness, the scenario in rural India has been changing rapidly. Since India’s economy depends mainly on agriculture, there is a lot of potential for Information and Communication Technology and mobile applications for agribusiness and its marketing. With growing smartphones with m-apps penetration in rural India, the agribusiness in rural belts of India is set for extension and further digitalization to revolutionize the agriculture sector. In recent years, nearly all Indian farmers possess a mobile, and 50%are smartphones with internet connections. With Government's new legislative policy changes as the Digital India programme, mobile applications in India's rural belt cannot remain isolated. Digital India will connect rural Indians farmers worldwide through the internet and mobile applications and provide them with all necessary upliftment in agribusiness in India. This study has focused on the ICT and m-applications used in farming today and how they have changed agribusiness by providing a digital platform and with their impact on agribusiness

ANTIMICROBIAL AND ANTHELMINTIC ACTIVITIES OF SOME NEWLY SYNTHESIZED TRIAZOLES

Objective: The objective of this work is to synthesize and evaluate some novel 1,2,4-triazoles.Methods: Procedure includes synthesis of triazole compounds followed by biological evaluations. The synthesis was carried out in six steps withp-bromobenzoic acid as starting material and converting to ester and then to hydrazide. Hydrazide was then converted to 4-amino triazole. Theamino triazole was then linked to different secondary amines using chloroacetyl chloride as the linking agent. All the synthesized compounds werecharacterized through Fourier transform infrared spectroscopy, gas chromatography-mass spectroscopy, and nuclear magnetic resonance. Further,the compounds were taken out for biological evaluations. To explore their effects, experiments were conducted on various micro- as well as macroorganisms.The toxicityprofilewasalso testedin accordancewith OECD 425 guideline on Wistar albino rats.Results: The compounds were examined for antibacterial as well as antifungal activities. Among the all compound T71, T73, and T75 exhibitedantibacterial activity, and compound T71 showed antifungal activity as well. The evaluation was also carried out for anthelmintic activities. Thecompounds were treated on Pheretima posthuma at various concentrations to explore their vermifuge and vermicidal action. The triazole linked with1-methylpiperazine was found to have comparable activity to that of reference standards.Conclusion: Triazoles are a most potent assemblage of fungal retardants. But depending on their substituents, they also have diverse pharmacologicalvalues. In this study, the compound T71 showed promising antimicrobial as well as anthelmintic action. Hence, it can be considered as a lead compoundfor further researches

Trans-anastomotic tube in esophageal atresia with trachea-esophageal fistula repair: how beneficial are they?

Background: Congenital esophageal atresia with tracheo-esophageal fistula is a common congenital anomaly facing at our centre. There is various proposed anastomotic technique to avoid post-operative complications. In our center, feeding has been conventionally initiated after a contrast esophagogram done at the seventh day post repair. The current study tried to assess the benefits and risks of initiation of early feeding in these patients by placement of a Tran’s anastomotic feeding tube during the repair.Methods: Twenty-five patients had a trans anastomotic feeding tube inserted during trachea esophageal fistula repair and were followed up for different outcomes.Results: Twenty-five patients were operated out of which were sixteen males and nine were females. Early complications of esophageal atresia surgery such as anastomotic leak, surgical site infection, pneumonia and sepsis occur in eight patients. All the complications were managed successfully conservatively, however, one patient died due to anastomotic leak and subsequent septicemia.Conclusions: We conclude that early tube feeding is safe and does not increase risks of anastomotic leaks. It also reduces the need of total parenteral nutrition bringing down the costs of procedure in developing nations.  

Antibakterijski učinak ekstrakta lista biljke Plectranthus amboinicus Benth u uzorcima voća, povrća i pilećeg mesa

The ability of acetone and ethyl acetate extracts of the leaves of a traditional Indian medicinal plant, Indian borage (Plectranthus amboinicus Benth) to prevent spoilage of artificially inoculated model food systems (cabbage and papaya) and natural microflora of chicken meat was evaluated. These extracts were able to reduce the bacterial counts in all food systems; however, the effective concentration varied with the complexity of the system (in descending order: cabbage, papaya and chicken). A probable mode of action of extracts was investigated by analyzing the changes they cause in bacterial cell wall and leakage of nucleic acid from bacterial cells. Both acetone and ethyl acetate extracts at their respective minimum inhibitory concentrations resulted in leakage of cell constituents to an extent of 40 to 80 and 60 to 95 %, respectively, compared to the control, and finally leading to disintegration of cell walls. These findings indicate the potential use of ethyl acetate and acetone extracts of Indian borage leaves in food preservation.U radu je ispitan učinak ekstrakata lišća drevne indijske ljekovite biljke Plectranthus amboinicus Benth, izoliranih pomoću acetona i etilnog acetata, na sprečavanje rasta bakterija uzročnika kvarenja inokuliranih u uzorke svježeg kupusa i papaje, te na prirodnu mikrofloru pilećeg mesa. Dobiveni su ekstrakti uspješno smanjili broj bakterija u svim uzorcima hrane, no njihova je učinkovitost ovisila o složenosti sastava uzorka, pa je najveća bila u kupusu, zatim u papaji, a najmanja u mesu. Ispitan je utjecaj ekstrakata na razgradnju stanične stijenke bakterija i otpuštanje nukleinskih kiselina u međustanični prostor. Ekstrakt lišća dobiven pomoću acetona je pri minimalnoj inhibicijskoj koncentraciji uzrokovao otpuštanje 40 do 80 % staničnog sadržaja, a ekstrakt dobiven pomoću etilnog acetata 60 do 95 % staničnog sadržaja bakterija u usporedbi s kontrolnim uzorkom, što je naposljetku uzrokovalo potpunu razgradnju stanične stijenke. Rezultati pokazuju da se ekstrakti lišća indijske biljke Plectranthus amboinicus Benth, dobiveni pomoću etilnog acetata ili acetona, mogu upotrijebiti za konzerviranje hrane

Personalized Item Ranking from Implicit User Feedback: A Heterogeneous Information Network Approach

In today’s era of the digital world with information overload, generating personalized recommendations for the e-commerce users is a challenging and interesting problem. Recommendation of top-N items of interest to a user of e-commerce is highly challenging using binary implicit feedback. The training data is usually very sparse and have binary values capturing a user’s action or inaction. Due to the sparseness of data and lack of explicit user preferences, the recommendations generated by model-based and neighborhood-based approaches are not effective. Of late, network-based item recommendation methods, which utilize item related meta-information, are beginning to attract increasing attention for binary implicit feedback data. In this work, we propose a heterogeneous information network based recommendation model for personalized top-N recommendations using binary implicit feedback data. To utilize the potential of meta-information related to items, we utilize the concept of meta-path. To improve the effectiveness of the recommendations, the popularity of items and interest of users are leveraged simultaneously. Personalized weight learning of various meta-paths in the network is performed to determine the intrinsic interests of users from the binary implicit feedback data. To show the effectiveness, the proposed model is experimentally evaluated using the real-world dataset. Available at: https://aisel.aisnet.org/pajais/vol9/iss2/3

An Improved Algorithm for Faster Multi Keyword Search in Structured Organization

Searching is the major concern in the database operation. For accessing the information from database it is always required to perform the search. If the search process is efficient then time taken the get the required information will also be less. In this scenario, contain the information organized in the structured data for the big organization like any automobile industry maintaining information regarding its department. Now if perform the keyword based query, then on based of the keyword the queries will be formed. So, in order to reduce the time involved in the formation of the queries from the table have suggested the use of the associative mapping table in the search mechanism which will reduce the time involved in the process. The main aim this work is save the CPU time and efficient utilization of CPU to solve the purpose of the green computing

Lung Disease Classification using Dense Alex Net Framework with Contrast Normalisation and Five-Fold Geometric Transformation

lung disease is one of the leading causes of death worldwide. Most cases of lung diseases are found when the disease is in an advanced stage. Therefore, the development of systems and methods that begin to diagnose quickly and prematurely plays a vital role in today's world. Currently, in detecting differences in lung cancer, an accurate diagnosis of cancer types is needed. However, improving the accuracy and reducing training time of the diagnosis remains a challenge. In this study, we have developed an automated classification scheme for lung cancer presented in histopathological images using a dense Alex Net framework. The proposed methodology carries out several phases includes pre-processing, contrast normalization, data augmentation and classification. Initially, the pre-processing step is accompanied to diminish the noisy contents present in the image. Contrast normalization has been explored to maintain the same illumination factor among histopathological lung images next to pre-processing. Afterwards, data augmentation phase has been carried out to enhance the dataset further to avoid over-fitting problems. Finally, the Dense Alex Net is utilized for classification that comprises five convolutional layers, one multi-scale convolution layer, and three fully connected layers. In evaluation experiments, the proposed approach was trained using our original database to provide rich and meaningful features. The accuracy attained by the proposed methodology is93%, which is maximum compared with the existing algorithm

Fuzzy Based Balanced Scorecard for e-Business

The balance scorecard [6] is a performance measurement system that supplements traditional financial measures with the criteria that measures performance from three additional perspectives: customer perspective, internal business perspective, and innovation and learning perspective. In recent years, the balanced scorecard has been applied to information technology in order to ensure that IT is fairly evaluated. The same methodology has also been applied to E-business. Since some of the parameters in the measurement are somewhat inexact, the idea of fuzzy logy can be applied to allow manipulation of both exact and inexact (fuzzy) inputs from the ebusiness to the balanced scorecard. This fuzzy model works with a grade of membership and portrays inexact information represented by fuzzy statements, and explains both fuzzy conditional statements and the inference mechanism. This paper tries to develop a frame -work for Fuzzy-based Balanced Scorecard for Ebusines