M.Srimathidevi, C.Jerlin Christina Grace, N.Esakiammal Sivaranjani, B.Nisharni & G.Jayaraman
Abstract: Blue Eyes is a technology, which aims at creating computational machines that have perceptual and sensory abilities like those of human beings. The basic idea behind this technology is to give computer human power. For example, we can understand a person’s emotional state by his facial expressions. If we add these perceptual abilities to computers, we would enable them to work together with human beings as intimate partners. Blue Eyes technology basically uses different types of sensors to identify physical as well as psychological actions and to extract key information. Then, it is used to calculate the psychological, emotional, physical or any informational state of user. It aims at creating computational machines that have perceptual and sensory ability like those of human beings. This paper discusses the concept of blue eyes technology. The world of science cannot be measured in terms of development and progress. It shows how far human mind can work and think. It has now reached to the technology known as “Blue eyes technology” that can sense and control human emotions and feelings through gadgets. This paper implements a new technique known as Emotion Sensory World of Blue eyes technology which identifies human emotions (sad. happy. excited or surprised) using image processing techniques by extracting eye portion from the captured image which is then compared with stored images of database. After identifying mood the songs will be played to make human emotion level normal.
M.Srimathidevi, C.Jerlin Christina Grace, N.Esakiammal Sivaranjani, B.Nisharni & G.Jayaraman
Abstract: This technology is increasingly being used in a number of applications which benefit from their light weight, favourable dielectric properties, robust, high circuit density and conformable nature. Flexible circuits can be rolled away when not required. To replace glass, plastic substrate must offer properties like clarity, dimensional stability, low coefficient of thermal expansion, elasticity etc. Using the leading cholesteric liquid crystal technology of ITRI, we develop a rewritable, environmentally friendly thermal printable e-paper. The e-paper, devised to reduce traditional paper consumption, achieves a high resolution of 300 dpi with a memory function. In addition, we report on the ITRI's initial success in demonstrating a complete R2R process for multisensing touch panels on thick glass substrates provided by Corning. Recent advances in organic and inorganic based electronics proceeds on flexible substrate, offer substantial rewards in terms of being able to develop displays that are thinner, lighter and can be rolled when not in use. This paper will discuss about the properties, preparation methods, applications and challenges in this rapidly growing industry.
M.Srimathidevi, C.Jerlin Christina Grace, N.Esakiammal Sivaranjani, B.Nisharni & G.
Abstract: Haptics is a term that was derived from the Greek verb “haptesthai” meaning “of or relating to the sense of touch.” It refers to the science of manual sensing and manipulation of surrounding objects and environments through the sense of touch. The “touching” of objects and environment could be made by humans, machines, or a combination of both; and the objects and environments can be real, virtual, or a combination of both. Computer Science finds a wide range of applications in a variety of fields. In this modern world, the use of different human senses is becoming more and more common and the sense of touch is of no exception. In this paper, we have given an overview of haptic technology, which is entirely related to the sense of touch. Touch is a unique human sensory modality that enables a bidirectional flow of energy and information between the real, or virtual, environment and the end user. This is referred to as active touch. For instance, to sense the shape of an object such as a cup, we have to grasp and manipulate the physical object and run our fingers across its shape and surfaces to build a mental image of the cup. Furthermore, in a Manipulation task such as pressing a softball or filling a cup, there is a definite division between input and output, but it is often difficult to define.
Abstract: A lecture of robotics describes the techniques to analyze and to control the material supply in various sectors. A long ago, the work of human beings were done manually. As far as, the technology has been developed. In order to reduce their work load, effort and for time consumption various electrical and electronic applications were introduced. Then later the inventions have been more developed and it gave the evolution of robots and robotics. Robots are not new. They are already in existence. Their application is essential in the modern world. Thus the concept of this paper is to develop and design a line following robot for various applications such as in railway stations, hotels, pharmaceutical industry etc.
M.Srimathidevi, G.Sivasankari, E.Sherina, C.Jerlin Christina Grace, B.Nisharni & G.Jayaraman
Abstract: Students use mobile-phones to store lecture-materials, e books, tutorials, videos, communicate with their classmates and browse the internet for exceedingly-different-intentions. These projected-advantages, however, would have potential-undesirable-effects if mobile-phones are utilized in restricted-premises, such as exam-venues. In this paper, two systems, that will be used, independently, to detect mobile-phones in the exam-venues, were proposed: a mobile-detector with a range of 1.0m, using resistor-capacitor-circuit, which can detect both the incoming and outgoing-calls, as well as video-transmission and text messages, even if a mobile-phone is kept at the silent mode; and a Reed-switch circuit- scanner, which, responds to an applied-magnetic-field and, can be used to detect mobile-phones that are switched-off or put on flight mode, and thus, it can be used to scan students (without physical-inspection) on their entering examination-rooms. Overall, the results of this-concise-study are rather-positive, providing a good starting- point for advanced investigations and improvements of the same.
Abstract: A cross sectional study was carried out from January to July 2014 GC in an attempt to assess and prioritize major camel diseases and identify risk factors in the selected areas of Afar region. Camel owners’ interview and retrospective data analysis were the study methods employed. Relevant collected data were organized, filtered and fed into Microsoft Excel sheet and further analyzed using SPSS statistical tools at P< 0.05. Descriptive statistics was carried to determine frequencies of camel diseases camel. Based on descriptive statistics, the study identified and prioritized 16 camel diseases. Chi-Square analysis was computed to measure the degree of association between disease occurrence and risk factors (age, sex, study area and season). Binomial and multinomial logistic regression analyzes were computed at P<0.05 to measure the significance of associated risk factors on disease occurrence. Statistically significant variations (P<0.05) were observed for sex, seasons, age, and study sites on the occurrence of disease with exception kebeles (P>0.05). Though the study duly has revealed numerous diseases of the camel, the actual existence (laboratory based confirmation) and epidemiology of each disease still demands further investigative studies. Therefore, this study recommends further and continued research activities or confirmatory investigations on the present findings to be conducted including specific sample collection and laboratory identification of etiologies of each disease combined with careful epidemiological studies.
Abstract: Several Machine Learning-based models have been proposed to identify botnets in the cyber space. The performances of some of these detection schemes have been traced to the relevance of the features used for the classification models. Aside feature selection, another area that has not received much attention in botnet research is addressing data imbalance problem in the dataset before the classification. Until very recently, botnet researches have suffered from scarcity of large and benchmark datasets.CTU-13 dataset is the reference botnet dataset that has been identified to be large and realistic. However, the dataset is high dimensional and largely class imbalanced. There is a need to have model that considers data imbalance issue together with other pre-processing steps such as imputing missing values, removing redundant features, data transformation before carrying out botnet classification. In the proposed framework, Simple Minority Over-sampling Technique (SMOTE) is the technique for handling the data imbalance. Then, the study provides a methodological framework that can be used to achieve such improved botnet detection in the selected CTU-13 botnet dataset.
Abstract: The vector for recent pandemic disease COVID-19 is virus of coronavirus family known as SARS-CoV-2, seems to be very contagious and spread globally. Symptoms of this disease are mild at beginning and become severe with the passage of time and are related to common flu. This is not air borne disease, so good respiratory hygiene and supportive care in hospitals may cure patients. Research is going on to develop antiviral drug.
Abstract: Business economics, cooperatives economics, financial economics, business analysis (including development economics and financial law) is panacea to economic development, social tranquility and peace in nation building. Finance, and financial economics is critical to business analysis in every economy. The world is faced with complexities of how to control and manage human resource capital, in relation to stock of or supply of money, materials and other assets that can be drawn on by a person, organization or state, in order to function effectively. It is a fact that Africa (especially Nigeria), as a part of the world especially in the new global politics tries to align to the protection of its environment against economic sabotage, fraud and corruption. This study examines the level, and the indices of business failure in relation to economic analysis along fraud and economic sabotage and management in Nigeria including the associated or enabling laws and their control and management. Primary and secondary data were used in this research, which aims at discovering appropriate measures to squarely and effectively address economic analysis of corruption, fraud and sabotage in Africa. Binary logistic regression and chi-square were applied. The findings reveal that economic development, politics, democracy and rule of law has a nexus to addressing the complex nature of financial economics, law and fraud in business management.
Ogbonne, Fabian Chinedu, Abdullahi, Mohammed Mansur & Ajijo, Muyiwa Reuben
Abstract: A study was carried out to investigate the bacterial load and the occurrence of potential pathogens from healthy Tilapia guineensis. Thirty samples of Tilapia guineensis were collected from Awoye coastal environment, Ondo state Nigeria. The skin and the gills of the fish were examined. The samples were collected by swabbing aseptically over the skin and gills area of the fish and then processed for bacterial count, followed by isolation and identification of potential pathogens. Microbial load analysis revealed that the total viable count of bacteria ranged from 1.5 – 7.6 x 107 cfu/ml for skin and 2.1 – 6.4 x 106 cfu/ml for gills. The results show that the bacterial load of tilapia samples falls within the standard microbiological acceptable limit. There was no significant variation (P > 0.05) in the bacterial load from the skin and gills segment of the fish, and water sample studied. The biochemical identification tests of the bacterial isolates confirm the presence of the following enterics bacteria: Escherichia coli, Citrobacter freundi, Serratia mercescens, Klebsiella sp., Provindencia rettgeri, Shigella sonnei, Citrobacter amalonaticus, Morganella morganii, Proteus sp., Enterobacter aerogens, Enterobacter Cloacae, Citrobacter diversus. The percentage frequency of occurrence shows that E. coli recorded the highest frequency of occurrence of 20%, followed by Klebsiella sp. with 15% occurrence and Serratia mercescens with 12.50%. Morganella morgani, Shigella sonnei and Proteus sp. showed the least frequency of occurrence with 2.50% and 5% occurrence each respectively. This study therefore reveals the bacterial load of Tilapia guineensis with a view to provide information on the state of the environment and level of water contamination as well as the security and/or insecurity nature of fish when consumed.
Abdulai Mahmood Conteh, Sanpha Kallon, Sheku K. Moiforay & Abdul Rahman Sesay
Abstract: This study was carried out in Moyamba District to assess the knowledge, attitudes, and practices of goat and sheep owners on mange with respect to its prevalence, impact on livelihood, management strategy and general constraints faced by the farmers. A total of 210 small ruminant farmers were randomly selected within the most populated goat and sheep villages in three chiefdoms. The data obtained through a semi-structured pre-tested questionnaire were analyzed using SPSS (version 23.0). The results of the investigation showed that 79.0% of the respondents were male, 89.5% were married and 78.6% were illiterate. 74.3%, 19.5% and 6.2% of the respondents were engaged in farming, trading and government job respectively. The major contributions of small ruminants to the household level were for traditional practices (45.2%), income (22.9%), religious obligations (14.3%) and food (12.9%). The respondents’ knowledge, attitudes and practices on mange infestation (skin disease, etiology, host diversity, mode of transmission, clinical signs, seasonal occurrence, species most affected, factors responsible for continuous outbreaks and spread, and response mechanism to outbreak) were encouraging. Different constraints affecting goats and sheep production in the studied areas as perceived by farmers were lack of support (95.2%), poor extension service (94.8%), inadequate animal healthcare delivery (90.5%), parasite invasion (89.5%) and continuous disease outbreak (75.7%) are key among others. Effective veterinary services and good animal husbandry practices are vital in mitigating the various challenges affecting farmers in the district.
Abstract: The aim of this research is to examine the impact of social network platform for teaching and learning at the Ghana Technology University College. The study sort to find out how social platforms are assisting in knowledge sharing at the university. It was aimed to establish the percent of lecturers and students who are using this platform for teaching and learning. Social Networks have been considered the third revolutionary application of the internet after Search engines and Web 2.0 applications. The study adopted the descriptive study design. A combination of qualitative and quantitative data collection tools were applied in this research and a total of 250 respondents were randomly sampled from the entire population of the school. Questionnaires and interview were the instrument used for gathering data from respondents. The study found out that all respondents admitted to the fact that they are using the social platform to share and receive knowledge. This was as a result of convenient and flexibility in their usage as well as it support to readable files and submission of assignments. It was also found out that interaction between lecturers and students has improved significantly since the platform allow online discussion which students are able to ask questions. Some challenges that were expressed by respondents among them was unreliable internet and expensive. There was also an issue of power fluctuation which makes it difficult for students to 24 hours service on campus.