Development of a GIS-based framework for evaluating space and parking utilization

Large organizations such as corporations and universities typically occupy many buildings. A typical university space includes classrooms, laboratories, offices, and parKing The cost of adding additional space is significant. Therefore, effective management and utilization of the space is critical, especially to organizations that are growing. Growth may be measured in terms of the number of employees or students. As the number of employees and students increase, the number of trips to the campus also increase. This poses a growing pressure on the parking supply at the campus; The main objective of this thesis is to develop a framework for evaluating space utilization. Geographic information system (GIS) software is used as a tool to perform spatial analysis for utilizing the available space and to represent the measures graphically and more effectively. The development of the framework includes six major components: (1) Collect existing space inventory, (2) Develop a means to quantify the demand, supply and utilization of space, (3) Obtain utilization measures of all spaces, (4) Develop tools to visualize the utilization measures using GIS, (5) Develop a methodology to evaluate accessibility measures and perform analyses, and (6) Develop appropriate interfaces for users to perform queries, analyses and summarize results. The system is expected to assist administrators in better utilizing available space and scheduling classes based on utilization measures and accessibility of parking lots to the classrooms. The University of Nevada, Las Vegas (UNLV) campus is considered as a case study for developing the above framework, and to evaluate its implementation

ChemInform Abstract: A Remarkably Simple One‐Step Procedure for the Preparation of α‐Bromo‐α,β‐Unsaturated Carbonyl Compounds

ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option

Discrimination of closely resembling PEC targets based on natural resonant frequencies

The Natural Resonant Frequencies (NRFs) obtained from the late time response of targets are aspect independent in nature and thus, is well suited for radar target identification. In resonance based identification techniques, the accurate determination of NRFs is very important. In this paper, a technique for identifying the true NRFs of objects, useful in discriminating two closely resembling objects is proposed. The NRFs are extracted from the E-field response of the object using the Vector Fitting (VF) method. The NRFs of database object and the Radar Cross Section (RCS) of unknown object are used to discriminate between them. A risk factor is defined as a measure of discrimination. In this study, ellipsoids with different axial ratios are considered for discrimination and the results are presented

A Study on Hyper Spectral Remote Sensing Pest Management

Designing innovative combination of techniques to improve the sustainability of cropping system is a major challenge in many regions of the world. Long-term cropping systems research is important in order to reduce production costs, to control crop pests, and to optimize the sustainability of agro-ecosystems. Research into vegetative spectral reflectance can help us gain a better understanding of the physical, physiological and chemical processes in plants due to pest and disease attack and to detect the resulting biotic stress. This has important implications to effective pest management. Pest surveillance programs such as field scouting are often expensive, time consuming, laborious and prone to error. As remote sensing gives a synoptic view of the area in a non-destructive and non-invasive way, this technology could be effective and provide timely information on spatial variability of pest damage over a large area. In this paper to study management of water, nutrients, and pests in agricultural crops and assesses the role of hyperspectral remote sensing in yield prediction and also remote sensing can guide scouting efforts and crop protection advisory in a more precise and effective manner in the field of pest management

A Study on Occupational Aspiration Skill and Personality Traits of Institutionalized Adolescent Orphans in Kerala as Related to their Realistic and Idealistic Mode of Evaluation

The present trend suggests that students are pressurized by the society to select an occupation of their choice that can fetch easy money. That is why there is a heavy rush towards medicine, nursing, para-medical and engineering streams. This often negates the potential of each student and suppresses his or her innate caliber that negatively affects the prospects of the individual and society. The choice of occupation is one of the very important decisions a person makes in life. Psychologically each student has her/his own interests, aptitudes, attitudes, aspirations etc. It is a fact that parents, relatives, teachers, friends, media and society can influence the students in the modification of interests, aptitudes, attitudes, aspirations etc. If a person gets her/his education on their preferred vocation, he/she can get job satisfaction from the vocation and the individual shall be well placed. Aspirations add to the efficiency of the person by bringing out the best in him on the job

Text-to-Speech translation using Support Vector Machine, an approach to find a potential path for human-computer speech synthesizer

Text-to-Speech (TTS), an astounding feature to assemble computer with intelligence and to induce sound is seemingly a challenging task as it is related to the propagation of uncertainty with the input. This is because TTS evolutes the input based on the probabilities and not with certainty ratios. TTS is accomplished by generating the sound structure/phoneme and then classifying these phonemes in the phonetic dictionary. The Wards' algorithms, BIRCH, Support Vector Machine (SVM) are used to figure out the appropriate sound representation for the given context. To distinguish correct elocution, the SVM procedures are equipped with the principles of pruning. The output was analyzed using divergent stages of uncertainty. In order to study the effect of the output 10 listeners were considered for determining Signal-to-Noise (SNR) ratio. SNR shows that the errors of both type phase and uncertainty were approximately 6% resulting 94% of accuracy. These results manifested that SVM stratagem can be used to obtain better results for TTS synthesizer

Nutrient uptake and soil fertility status after harvest of Bt cotton as influenced by graded levels of NPK fertilizers in Alfisol

Field studies were conducted at farmer’s fields in Jodalli (Kalghatgi taluk) and Pale (Hubballi taluk) villages in 2012-13 and 2013-14, respectively to investigate the effect of NPK fertilizers on uptake of nutrients by Bt cotton and soil fertility status at harvest in Alfisol. Among the different treatment combinations, the application of 150:50:75 kg N:P2O5:K2O ha-1 (N3P1K2) recorded significantly (P=0.05) higher nitrogen (132.63 kg ha-1), phosphorus (31.26 kg ha-1) and potassium (128.94 kg ha-1) uptake by cotton. The interaction effect with respect to total micronutrients (Zn, Fe, Mn and Cu) uptake remained non significant at all the growth stages. Graded levels of fertilizers failed to exert significant impact on pH and electrical conductivity, soil organic carbon and available micronutrients during both the years of experimentation. The application of 100:50:50 kgN:P2O5:K2O ha-1 (N1P1K1) recorded significantly (P=0.05) highest available nitrogen (150.39 kg ha-1), available phosphorus (37.98 kg ha-1) and available potassium (230.99 kg ha-1) compared to rest of the treatments. The lowest available nitrogen (134.92 kg ha-1), available phosphorus (31.65 kg ha-1) and available potassium (217.63 kg ha-1) were recorded in treatment receiving 150:50:75 kg N:P2O5:K2O ha-1 (N3P1K2)

Contaminated Fish Meal Diet Induces Hematological Alterations in Albino Rat, Rattus norvegicus (Album)

Fish inhabiting polluted waters accumulate various metals in tissues. The transfer of these into human beings through the food chain has adverse effects. The present study was undertaken to elicit the effect of consumption of contaminated fish meal on the hematological parameters of albino rats, Rattus norvegicus (Album). Thirty rats, weighing 45-50gms and randomly divided into 5 groups (n=6), were used for this study. Group I served as control and were given normal diet, group V were given only contaminated fish meal diet while group II, III and IV were given a mixture of normal and contaminated fish meal diet in the ratio of 1:1, 1:2 and 1:3, respectively. All experiments were carried out for 90 days. Results of blood parameters revealed significant reduction (P< 0.05) in Total erythrocyte count (TEC), Hemoglobin (Hb) and packed cell volume (PCV) in group IV and V when compared to control. Leukocytes count showed a significant decrease (P<0.05) in group IV and V. These effects may be due to the presence of heavy metals in the fish meal given to experimental rats. It is therefore concluded that consumption of fish from polluted waters is always associated with health risks

Effect of Contaminated Fish Meal Diet on Estrous Cycle, Hormones and Biochemical Changes in Ovary and Uterus of Rattus Norvegicus

The aim of the present investigation was to evaluate the adverse effects of consumption of contaminated fish meal diet on estrous cycle, hormones and biochemical constituents in ovary and uterus of Albino rats, Rattus norvegicus. Rats were randomly distributed into five groups (n=6), Group I served as control, while group II, III and IV received combination of fish meal ratios and group V only fish meal diet for 90 days respectively. Result revealed fish meal diet arrested the normal estrous cycle at diestrous phase and reduction in protein, glycogen, and cholesterol in ovary and increase cholesterol content in uterus of experimental groups. Gradual decrease of estrogen indicated the fall of hormonal levels in all experimental groups (p< 0.05) and increase of progesterone led to prolonged diestrous phase. These changes indicates alteration in the physiology of the animal to toxic substance in contaminated fish meal diet which has a negative implication on the reproductive performance of rat