What are the applications of Machine Learning?
Machine Learning is used in applications like spam filtering, recommendation systems, image and speech recognition, and fraud detection, where computers automatically learn patterns from data to make decisions or predictions.
Describe the Boltzmann Machine.
A Boltzmann Machine is a stochastic neural network consisting of visible and hidden units with symmetric connections. It learns patterns in data by minimizing an energy function using probabilistic...
Socialismo utopistico
Il socialismo utopistico teorizza un modello di società futura capace di eliminare la povertà e le ingiustizie, immaginando forme alternative di organizzazione economica e sociale fondate sulla cooperazione e sull’armonia.
Tra i principali esponenti vi è Robert Owen, imprenditore inglese attivo nel primo sindacalismo, che sostiene la necessità di un progresso più umano, contrapponendo il “nuovo mondo morale”(1831) al vecchio mondo di ignoranza, miseria e oppressione.
The pigs abused their power during the Battle of Cowshed by using the victory to raise their own status above the other animals, even though everyone fought together. After the battle, Snowball and Napoleon are awarded “Animal Hero, First Class,” and are treated as key leaders. This shows that the pigs begin to present themselves as more important than the rest. They highlight their own role more than others, even though the victory was a group effort. This suggests that they want to be seen
...Quais os sistemas de controle de constitucionalidade? Explique a origem de cada um deles.Os sistemas de controle de constitucionalidade são o difuso e o concentrado. O controle difuso tem origem no direito norte-americano, a partir do caso Marbury v. Madison, e permite que qualquer juiz ou tribunal declare a inconstitucionalidade de uma norma no caso concreto. Já o controle concentrado tem origem no modelo europeu, idealizado por Hans Kelsen, no qual a análise da constitucionalidade é atribuída
Q1. Explain IoT in Detail + Vision + Sources + Technology Behind IoT
**Definition:** IoT refers to a network of physical devices embedded with sensors, software, and connectivity to collect and exchange data over the internet without human intervention.
**Vision of IoT:**
- Every physical object connected to the internet
- Smarter environments (homes, cities, industries)
- Data-driven decisions in real time
- Reduced human effort through automation
**Sources of IoT:** Sensors, RFID tags, smartphones,
Ethnoarchaeology = study of living traditional societies to understand past built forms and human behavior
Helps interpret relationship between climate, materials, culture, and architecture
Example: Kutch Bhunga houses, Gujarat
Circular plan (3–6 m diameter)
Thick mud walls (300–450 mm)
Conical thatch roof on wooden frame
Small windows and low doors
Cluster-based settlement planning
Observed to perform well in 2001 Bhuj earthquake
Interpretation:
Circular form → better
SOLID/modularity:
- lecturer skeptical of SOLID as design recipe
- real goal = modularity
SRP:
- “single responsibility” / “one reason to change”
- vague, changing definitions
- hard to apply consistently
- better to think in terms of concepts/roles
OCP:
- open for extension, closed for modification
- change behaviour without editing original class
- often achieved with polymorphism/template method
LSP:
- subtype must be valid substitute for parent/interface
- not just same method signatures
- check...
Q-2 (A) Ignition Delay (SI vs CI Engines)
In SI engines, ignition delay (ignition lag) is the time interval between the spark and the start of combustion (AB phase). It depends on factors like temperature, pressure, air-fuel ratio and fuel structure.
In CI engines, ignition delay is the time interval between the start of fuel injection and the start of combustion (AC phase). During this period, fuel undergoes atomization, vaporization and mixing with air. It consists of physical delay and chemical
16.1
Rectangular beam: b = 100 mm, d = 250 mm, L = 3 m, w = 40 kN/m
→ Find τmax + distribution
16.2
Triangular section: b = 100 mm, h = 150 mm, F = 13.5 kN
→ Find τmax + distribution
16.3
Circular section: d = 100 mm, F = 30 kN
→ Find τmax + distribution
16.4
I-section: Flange = 150×20 mm, Web = 300×10 mm, F = 50 kN
→ Find τmax
16.5
I-section: D = 350 mm, B = 200 mm, web = 12.5 mm, flange = 25 mm, F = 200 kN
→ Shear stress distribution
16.6
T-section: F = 100 kN, I = 113.4 × 10⁶ mm⁴
→